{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quantifying Non-Shot Chances\n",
    "\n",
    "This notebook uses the Logistic Regression Expected Goals model trained using StatsBomb event data on Metrica's sample tracking data (match 2) to calculate the expected goals and the non-shot expected goals of the match.\n",
    "\n",
    "Starts with loading and preprocessing the Metrica tracking and event data by transforming the coordinates to be cinsistent with StatsBombs.\n",
    "\n",
    "Traditional match stats are calculated from the event data.\n",
    "\n",
    "Possessions are defined and identified using Metrica's possession definitions with event types 'BALL LOST' and 'BALL OUT'.\n",
    "\n",
    "Expected goals and non-shot expected goals are calculated for both Home and Away teams across all frames of the match.\n",
    "\n",
    "Expected goals are summed for each shot taken whilst non-shot expected goals include possessions which no shots were attempted. In these possessions, the maximum non-shot expected goal value is taken across the whole possession and attributed to that possession.\n",
    "\n",
    "Outcomes are at the bottom. This allows possessions where shots weren't taken to still be accounted for in post match statistics, further analysis such as difference between expected goals and non-shot expected goals can be extrapolated upon and discussed. But having the ability to start the conversation is great.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T13:22:28.529699Z",
     "start_time": "2021-01-03T13:22:27.876894Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "import Metrica_IO as mio\n",
    "import Metrica_Functions_TLMAnalytics as mfun\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "pd.options.display.max_rows = 100\n",
    "pd.options.display.max_columns = 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Metrica Tracking Data\n",
    "\n",
    "Loading data using MetricaIO, need to convert to StatsBomb consistent coordinates since xG model was trained using that coordinate system. The coefficients of the Logistic Regressions are dependent on those coordinate distances and angles."
   ]
  },
  {
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   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T13:22:29.474688Z",
     "start_time": "2021-01-03T13:22:28.531694Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading team: home\n",
      "Reading team: away\n"
     ]
    },
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       "       Period  Time [s]  Home_11_x  Home_11_y  Home_1_x  Home_1_y  Home_2_x  \\\n",
       "Frame                                                                         \n",
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       "2           1      0.08    0.94275    0.50413   0.64812   0.28605   0.67752   \n",
       "3           1      0.12    0.94275    0.50413   0.64812   0.28605   0.67752   \n",
       "\n",
       "       Home_2_y  Home_3_x  Home_3_y  Home_4_x  Home_4_y  Home_5_x  Home_5_y  \\\n",
       "Frame                                                                         \n",
       "1       0.42803   0.69882   0.55606   0.64348   0.76253   0.23339   0.25869   \n",
       "2       0.42803   0.69882   0.55606   0.64348   0.76253   0.23339   0.25869   \n",
       "3       0.42803   0.69882   0.55606   0.64348   0.76253   0.23339   0.25869   \n",
       "\n",
       "       Home_6_x  Home_6_y  Home_7_x  Home_7_y  Home_8_x  Home_8_y  Home_9_x  \\\n",
       "Frame                                                                         \n",
       "1       0.60269   0.47397   0.58508   0.53017   0.53163   0.75084   0.50637   \n",
       "2       0.60269   0.47397   0.58508   0.53017   0.53163   0.75084   0.50637   \n",
       "3       0.60269   0.47397   0.58508   0.53017   0.53163   0.75084   0.50637   \n",
       "\n",
       "       Home_9_y  Home_10_x  Home_10_y  Home_12_x  Home_12_y  Home_13_x  \\\n",
       "Frame                                                                    \n",
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       "\n",
       "       Home_13_y  Home_14_x  Home_14_y  ball_x  ball_y  \n",
       "Frame                                                   \n",
       "1            NaN        NaN        NaN     NaN     NaN  \n",
       "2            NaN        NaN        NaN     NaN     NaN  \n",
       "3            NaN        NaN        NaN     NaN     NaN  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load in Metrica events and tracking data using Metrica_IO from Friends of Tracking\n",
    "events = mio.read_event_data('sample-data-master/data',2)\n",
    "tracking_home = mio.tracking_data('sample-data-master/data'\n",
    "                                  , 2\n",
    "                                  , 'Home')\n",
    "tracking_away = mio.tracking_data('sample-data-master/data/'\n",
    "                                  , 2\n",
    "                                  , 'Away')\n",
    "tracking_home.head(3)"
   ]
  },
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       "        Period  Time [s]  Home_11_x  Home_11_y  Home_1_x  Home_1_y  Home_2_x  \\\n",
       "Frame                                                                          \n",
       "141154       2   5646.16      7.542    39.0056   46.1988   67.7152   27.0696   \n",
       "141155       2   5646.20      7.542    39.0056   46.1988   67.7152   27.0696   \n",
       "141156       2   5646.24      7.542    39.0056   46.1988   67.7152   27.0696   \n",
       "\n",
       "        Home_2_y  Home_3_x  Home_3_y  Home_4_x  Home_4_y  Home_5_x  Home_5_y  \\\n",
       "Frame                                                                          \n",
       "141154    46.916   32.5704   54.2328       NaN       NaN   48.7104   73.5984   \n",
       "141155    46.916   32.5704   54.2328       NaN       NaN   48.7104   73.5984   \n",
       "141156    46.916   32.5704   54.2328       NaN       NaN   48.7104   73.5984   \n",
       "\n",
       "        Home_6_x  Home_6_y  Home_7_x  Home_7_y  Home_8_x  Home_8_y  Home_9_x  \\\n",
       "Frame                                                                          \n",
       "141154   46.7832   34.9368   43.4592   35.0256       NaN       NaN   33.9864   \n",
       "141155   46.8012   35.0336   43.4592   35.0256       NaN       NaN   33.9192   \n",
       "141156   46.8084   35.0000   43.4592   35.0256       NaN       NaN   33.8412   \n",
       "\n",
       "        Home_9_y  Home_10_x  Home_10_y  Home_12_x  Home_12_y  Home_13_x  \\\n",
       "Frame                                                                     \n",
       "141154   51.1464        NaN        NaN    49.0044    68.4408    61.2348   \n",
       "141155   51.1240        NaN        NaN    49.0044    68.4408    61.2336   \n",
       "141156   51.1016        NaN        NaN    49.0044    68.4408    61.2348   \n",
       "\n",
       "        Home_13_y  Home_14_x  Home_14_y  ball_x  ball_y  \n",
       "Frame                                                    \n",
       "141154     4.2312    33.6372    50.6192     NaN     NaN  \n",
       "141155     4.1664    33.6708    50.6352     NaN     NaN  \n",
       "141156     4.1232    33.6780    50.8072     NaN     NaN  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert Metrica coordinates to StatsBomb coordinates\n",
    "events = mfun.to_statsbomb_coordinates(events)\n",
    "tracking_home = mfun.to_statsbomb_coordinates(tracking_home)\n",
    "tracking_away = mfun.to_statsbomb_coordinates(tracking_away)\n",
    "tracking_home.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T13:22:29.883586Z",
     "start_time": "2021-01-03T13:22:29.619293Z"
    }
   },
   "outputs": [
    {
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      ],
      "text/plain": [
       "        Period  Time [s]  Home_11_x  Home_11_y  Home_1_x  Home_1_y  Home_2_x  \\\n",
       "Frame                                                                          \n",
       "141154       2   5646.16    112.458    40.9944   73.8012   12.2848   92.9304   \n",
       "141155       2   5646.20    112.458    40.9944   73.8012   12.2848   92.9304   \n",
       "141156       2   5646.24    112.458    40.9944   73.8012   12.2848   92.9304   \n",
       "\n",
       "        Home_2_y  Home_3_x  Home_3_y  Home_4_x  Home_4_y  Home_5_x  Home_5_y  \\\n",
       "Frame                                                                          \n",
       "141154    33.084   87.4296   25.7672       NaN       NaN   71.2896    6.4016   \n",
       "141155    33.084   87.4296   25.7672       NaN       NaN   71.2896    6.4016   \n",
       "141156    33.084   87.4296   25.7672       NaN       NaN   71.2896    6.4016   \n",
       "\n",
       "        Home_6_x  Home_6_y  Home_7_x  Home_7_y  Home_8_x  Home_8_y  Home_9_x  \\\n",
       "Frame                                                                          \n",
       "141154   73.2168   45.0632   76.5408   44.9744       NaN       NaN   86.0136   \n",
       "141155   73.1988   44.9664   76.5408   44.9744       NaN       NaN   86.0808   \n",
       "141156   73.1916   45.0000   76.5408   44.9744       NaN       NaN   86.1588   \n",
       "\n",
       "        Home_9_y  Home_10_x  Home_10_y  Home_12_x  Home_12_y  Home_13_x  \\\n",
       "Frame                                                                     \n",
       "141154   28.8536        NaN        NaN    70.9956    11.5592    58.7652   \n",
       "141155   28.8760        NaN        NaN    70.9956    11.5592    58.7664   \n",
       "141156   28.8984        NaN        NaN    70.9956    11.5592    58.7652   \n",
       "\n",
       "        Home_13_y  Home_14_x  Home_14_y  ball_x  ball_y  \n",
       "Frame                                                    \n",
       "141154    75.7688    86.3628    29.3808     NaN     NaN  \n",
       "141155    75.8336    86.3292    29.3648     NaN     NaN  \n",
       "141156    75.8768    86.3220    29.1928     NaN     NaN  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# reverse direction of play in the second half so that home team is always attacking from right->left\n",
    "tracking_home,tracking_away,events = mfun.to_single_playing_direction(tracking_home,tracking_away,events)\n",
    "tracking_home.tail(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Match Stats\n",
    "\n",
    "Traditional stats such as goals, shots and passes are calculated here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T13:22:29.913506Z",
     "start_time": "2021-01-03T13:22:29.886579Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 24 shots in total.\n",
      "There are 13 shots by the Home team.\n",
      "There are 3 goals by the Home team.\n",
      "There are 11 shots by the Away team.\n",
      "There are 2 goals by the Away team.\n",
      "There are 964 passes in total.\n",
      "There are 543 passes by the Home team.\n",
      "There are 421 passes by the Away team.\n"
     ]
    }
   ],
   "source": [
    "shots = events[events['Type'] == 'SHOT']\n",
    "print('There are {} shots in total.'.format(shots.shape[0]))\n",
    "home_shots = shots[shots['Team'] == 'Home']\n",
    "print('There are {} shots by the Home team.'.format(home_shots.shape[0]))\n",
    "home_goals = home_shots[home_shots['Subtype'].str.contains('GOAL')]\n",
    "print('There are {} goals by the Home team.'.format(home_goals.shape[0]))\n",
    "away_shots = shots[shots['Team'] == 'Away']\n",
    "print('There are {} shots by the Away team.'.format(away_shots.shape[0]))\n",
    "away_goals = away_shots[away_shots['Subtype'].str.contains('GOAL')]\n",
    "print('There are {} goals by the Away team.'.format(away_goals.shape[0]))\n",
    "passes = events[events['Type'] == 'PASS']\n",
    "print('There are {} passes in total.'.format(passes.shape[0]))\n",
    "home_passes = passes[passes['Team'] == 'Home']\n",
    "print('There are {} passes by the Home team.'.format(home_passes.shape[0]))\n",
    "away_passes = passes[passes['Team'] == 'Away']\n",
    "print('There are {} passes by the Away team.'.format(away_passes.shape[0]))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define Possessions\n",
    "\n",
    "Possessions change everytime a BALL OUT or BALL LOST occurs. Separate for Home / Away."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T13:22:30.022806Z",
     "start_time": "2021-01-03T13:22:29.915501Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PASS              964\n",
       "CHALLENGE         311\n",
       "RECOVERY          248\n",
       "BALL LOST         233\n",
       "SET PIECE          80\n",
       "BALL OUT           49\n",
       "SHOT               24\n",
       "FAULT RECEIVED     20\n",
       "CARD                6\n",
       "Name: Type, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "events['Type'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Every time the event type is 'BALL LOST' or 'BALL OUT', the possession ends. The count increases to identify a new possession for the next event."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T13:22:30.546157Z",
     "start_time": "2021-01-03T13:22:30.023803Z"
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       "      <th>1919</th>\n",
       "      <td>Home</td>\n",
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       "    <tr>\n",
       "      <th>1921</th>\n",
       "      <td>Home</td>\n",
       "      <td>SET PIECE</td>\n",
       "      <td>FREE KICK</td>\n",
       "      <td>2</td>\n",
       "      <td>138250</td>\n",
       "      <td>5530.00</td>\n",
       "      <td>138250</td>\n",
       "      <td>5530.00</td>\n",
       "      <td>Player3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>146.0</td>\n",
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       "    <tr>\n",
       "      <th>1922</th>\n",
       "      <td>Home</td>\n",
       "      <td>BALL LOST</td>\n",
       "      <td>INTERCEPTION</td>\n",
       "      <td>2</td>\n",
       "      <td>138250</td>\n",
       "      <td>5530.00</td>\n",
       "      <td>138334</td>\n",
       "      <td>5533.36</td>\n",
       "      <td>Player3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.4</td>\n",
       "      <td>4.8</td>\n",
       "      <td>34.8</td>\n",
       "      <td>42.4</td>\n",
       "      <td>146.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1924</th>\n",
       "      <td>Home</td>\n",
       "      <td>CHALLENGE</td>\n",
       "      <td>AERIAL-FAULT-WON</td>\n",
       "      <td>2</td>\n",
       "      <td>138334</td>\n",
       "      <td>5533.36</td>\n",
       "      <td>138334</td>\n",
       "      <td>5533.36</td>\n",
       "      <td>Player7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1926</th>\n",
       "      <td>Home</td>\n",
       "      <td>SET PIECE</td>\n",
       "      <td>FREE KICK</td>\n",
       "      <td>2</td>\n",
       "      <td>139891</td>\n",
       "      <td>5595.64</td>\n",
       "      <td>139891</td>\n",
       "      <td>5595.64</td>\n",
       "      <td>Player9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1927</th>\n",
       "      <td>Home</td>\n",
       "      <td>SHOT</td>\n",
       "      <td>ON TARGET-SAVED</td>\n",
       "      <td>2</td>\n",
       "      <td>139891</td>\n",
       "      <td>5595.64</td>\n",
       "      <td>139925</td>\n",
       "      <td>5597.00</td>\n",
       "      <td>Player9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>41.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>41.6</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1931</th>\n",
       "      <td>Home</td>\n",
       "      <td>CHALLENGE</td>\n",
       "      <td>AERIAL-LOST</td>\n",
       "      <td>2</td>\n",
       "      <td>140180</td>\n",
       "      <td>5607.20</td>\n",
       "      <td>140180</td>\n",
       "      <td>5607.20</td>\n",
       "      <td>Player1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.8</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1933</th>\n",
       "      <td>Home</td>\n",
       "      <td>RECOVERY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>140211</td>\n",
       "      <td>5608.44</td>\n",
       "      <td>140211</td>\n",
       "      <td>5608.44</td>\n",
       "      <td>Player12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>79.2</td>\n",
       "      <td>25.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1934</th>\n",
       "      <td>Home</td>\n",
       "      <td>BALL OUT</td>\n",
       "      <td>CLEARANCE</td>\n",
       "      <td>2</td>\n",
       "      <td>140265</td>\n",
       "      <td>5610.60</td>\n",
       "      <td>140298</td>\n",
       "      <td>5611.92</td>\n",
       "      <td>Player12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.4</td>\n",
       "      <td>12.8</td>\n",
       "      <td>70.8</td>\n",
       "      <td>-3.2</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Team            Type           Subtype  Period  Start Frame  \\\n",
       "1919  Home       CHALLENGE  GROUND-FAULT-WON       2       137429   \n",
       "1920  Home  FAULT RECEIVED               NaN       2       137429   \n",
       "1921  Home       SET PIECE         FREE KICK       2       138250   \n",
       "1922  Home       BALL LOST      INTERCEPTION       2       138250   \n",
       "1924  Home       CHALLENGE  AERIAL-FAULT-WON       2       138334   \n",
       "1926  Home       SET PIECE         FREE KICK       2       139891   \n",
       "1927  Home            SHOT   ON TARGET-SAVED       2       139891   \n",
       "1931  Home       CHALLENGE       AERIAL-LOST       2       140180   \n",
       "1933  Home        RECOVERY               NaN       2       140211   \n",
       "1934  Home        BALL OUT         CLEARANCE       2       140265   \n",
       "\n",
       "      Start Time [s]  End Frame  End Time [s]      From   To  Start X  \\\n",
       "1919         5497.16     137429       5497.16   Player1  NaN     82.8   \n",
       "1920         5497.16     137429       5497.16   Player1  NaN     82.8   \n",
       "1921         5530.00     138250       5530.00   Player3  NaN      NaN   \n",
       "1922         5530.00     138334       5533.36   Player3  NaN     80.4   \n",
       "1924         5533.36     138334       5533.36   Player7  NaN     36.0   \n",
       "1926         5595.64     139891       5595.64   Player9  NaN      NaN   \n",
       "1927         5595.64     139925       5597.00   Player9  NaN     36.0   \n",
       "1931         5607.20     140180       5607.20   Player1  NaN     82.8   \n",
       "1933         5608.44     140211       5608.44  Player12  NaN     79.2   \n",
       "1934         5610.60     140298       5611.92  Player12  NaN     80.4   \n",
       "\n",
       "      Start Y  End X  End Y  Possession  \n",
       "1919      4.0    NaN    NaN       146.0  \n",
       "1920      4.0    NaN    NaN       146.0  \n",
       "1921      NaN    NaN    NaN       146.0  \n",
       "1922      4.8   34.8   42.4       146.0  \n",
       "1924     40.0    NaN    NaN       147.0  \n",
       "1926      NaN    NaN    NaN       147.0  \n",
       "1927     41.6    2.4   41.6       147.0  \n",
       "1931     24.0    NaN    NaN       147.0  \n",
       "1933     25.6    NaN    NaN       147.0  \n",
       "1934     12.8   70.8   -3.2       147.0  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "home_events = events[events['Team'] == 'Home']\n",
    "home_events.loc[:, 'Type_shift'] = home_events.loc[:, 'Type'].shift(1)\n",
    "possession_count = 1\n",
    "for index, row in home_events.iterrows():\n",
    "    if (home_events.loc[index, 'Type_shift'] == 'BALL LOST') | (home_events.loc[index, 'Type_shift'] == 'BALL OUT'):\n",
    "        possession_count += 1\n",
    "        home_events.loc[index, 'Possession'] = possession_count\n",
    "    else:\n",
    "        home_events.loc[index, 'Possession'] = possession_count\n",
    "    possession_count = possession_count\n",
    "home_events.drop(['Type_shift'], axis=1, inplace=True)\n",
    "home_events.tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Useful to record the frames which each possession starts and ends to merge onto tracking data later on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T13:22:30.560093Z",
     "start_time": "2021-01-03T13:22:30.547126Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 147 possessions for the Home team.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Possession</th>\n",
       "      <th>Start Frame</th>\n",
       "      <th>End Frame</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>504</td>\n",
       "      <td>534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1084</td>\n",
       "      <td>1121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1431</td>\n",
       "      <td>1611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1672</td>\n",
       "      <td>1724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1874</td>\n",
       "      <td>1918</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Possession  Start Frame  End Frame\n",
       "0         1.0          504        534\n",
       "1         2.0         1084       1121\n",
       "2         3.0         1431       1611\n",
       "3         4.0         1672       1724\n",
       "4         5.0         1874       1918"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "home_possession_frames = home_events.groupby(['Possession']).agg({'Start Frame': 'min', 'End Frame':'max'}).reset_index()\n",
    "print('There are {} possessions for the Home team.'.format(home_possession_frames.shape[0]))\n",
    "home_possession_frames.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Repeat for Away team."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T13:22:31.028466Z",
     "start_time": "2021-01-03T13:22:30.562088Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 136 possessions for the Away team.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Team</th>\n",
       "      <th>Type</th>\n",
       "      <th>Subtype</th>\n",
       "      <th>Period</th>\n",
       "      <th>Start Frame</th>\n",
       "      <th>Start Time [s]</th>\n",
       "      <th>End Frame</th>\n",
       "      <th>End Time [s]</th>\n",
       "      <th>From</th>\n",
       "      <th>To</th>\n",
       "      <th>Start X</th>\n",
       "      <th>Start Y</th>\n",
       "      <th>End X</th>\n",
       "      <th>End Y</th>\n",
       "      <th>Possession</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1902</th>\n",
       "      <td>Away</td>\n",
       "      <td>CHALLENGE</td>\n",
       "      <td>AERIAL-WON</td>\n",
       "      <td>2</td>\n",
       "      <td>136060</td>\n",
       "      <td>5442.40</td>\n",
       "      <td>136060</td>\n",
       "      <td>5442.40</td>\n",
       "      <td>Player 26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>114.0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1903</th>\n",
       "      <td>Away</td>\n",
       "      <td>SHOT</td>\n",
       "      <td>HEAD-OFF TARGET-OUT</td>\n",
       "      <td>2</td>\n",
       "      <td>136060</td>\n",
       "      <td>5442.40</td>\n",
       "      <td>136078</td>\n",
       "      <td>5443.12</td>\n",
       "      <td>Player 26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>114.0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>123.6</td>\n",
       "      <td>32.8</td>\n",
       "      <td>135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1909</th>\n",
       "      <td>Away</td>\n",
       "      <td>CHALLENGE</td>\n",
       "      <td>GROUND-LOST</td>\n",
       "      <td>2</td>\n",
       "      <td>137026</td>\n",
       "      <td>5481.04</td>\n",
       "      <td>137026</td>\n",
       "      <td>5481.04</td>\n",
       "      <td>Player21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.2</td>\n",
       "      <td>61.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1918</th>\n",
       "      <td>Away</td>\n",
       "      <td>CHALLENGE</td>\n",
       "      <td>GROUND-FAULT-LOST</td>\n",
       "      <td>2</td>\n",
       "      <td>137416</td>\n",
       "      <td>5496.64</td>\n",
       "      <td>137416</td>\n",
       "      <td>5496.64</td>\n",
       "      <td>Player20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1923</th>\n",
       "      <td>Away</td>\n",
       "      <td>CHALLENGE</td>\n",
       "      <td>AERIAL-FAULT-LOST</td>\n",
       "      <td>2</td>\n",
       "      <td>138327</td>\n",
       "      <td>5533.08</td>\n",
       "      <td>138327</td>\n",
       "      <td>5533.08</td>\n",
       "      <td>Player17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.8</td>\n",
       "      <td>38.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1925</th>\n",
       "      <td>Away</td>\n",
       "      <td>CARD</td>\n",
       "      <td>YELLOW</td>\n",
       "      <td>2</td>\n",
       "      <td>138445</td>\n",
       "      <td>5537.80</td>\n",
       "      <td>138445</td>\n",
       "      <td>5537.80</td>\n",
       "      <td>Player17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1928</th>\n",
       "      <td>Away</td>\n",
       "      <td>RECOVERY</td>\n",
       "      <td>SAVED</td>\n",
       "      <td>2</td>\n",
       "      <td>139926</td>\n",
       "      <td>5597.04</td>\n",
       "      <td>139926</td>\n",
       "      <td>5597.04</td>\n",
       "      <td>Player25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2</td>\n",
       "      <td>41.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1929</th>\n",
       "      <td>Away</td>\n",
       "      <td>PASS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>140010</td>\n",
       "      <td>5600.40</td>\n",
       "      <td>140058</td>\n",
       "      <td>5602.32</td>\n",
       "      <td>Player25</td>\n",
       "      <td>Player21</td>\n",
       "      <td>15.6</td>\n",
       "      <td>40.0</td>\n",
       "      <td>43.2</td>\n",
       "      <td>64.0</td>\n",
       "      <td>135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930</th>\n",
       "      <td>Away</td>\n",
       "      <td>BALL LOST</td>\n",
       "      <td>INTERCEPTION</td>\n",
       "      <td>2</td>\n",
       "      <td>140122</td>\n",
       "      <td>5604.88</td>\n",
       "      <td>140183</td>\n",
       "      <td>5607.32</td>\n",
       "      <td>Player21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.2</td>\n",
       "      <td>61.6</td>\n",
       "      <td>85.2</td>\n",
       "      <td>19.2</td>\n",
       "      <td>135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1932</th>\n",
       "      <td>Away</td>\n",
       "      <td>CHALLENGE</td>\n",
       "      <td>AERIAL-LOST</td>\n",
       "      <td>2</td>\n",
       "      <td>140183</td>\n",
       "      <td>5607.32</td>\n",
       "      <td>140183</td>\n",
       "      <td>5607.32</td>\n",
       "      <td>Player24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.6</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Team       Type              Subtype  Period  Start Frame  \\\n",
       "1902  Away  CHALLENGE           AERIAL-WON       2       136060   \n",
       "1903  Away       SHOT  HEAD-OFF TARGET-OUT       2       136060   \n",
       "1909  Away  CHALLENGE          GROUND-LOST       2       137026   \n",
       "1918  Away  CHALLENGE    GROUND-FAULT-LOST       2       137416   \n",
       "1923  Away  CHALLENGE    AERIAL-FAULT-LOST       2       138327   \n",
       "1925  Away       CARD               YELLOW       2       138445   \n",
       "1928  Away   RECOVERY                SAVED       2       139926   \n",
       "1929  Away       PASS                  NaN       2       140010   \n",
       "1930  Away  BALL LOST         INTERCEPTION       2       140122   \n",
       "1932  Away  CHALLENGE          AERIAL-LOST       2       140183   \n",
       "\n",
       "      Start Time [s]  End Frame  End Time [s]       From        To  Start X  \\\n",
       "1902         5442.40     136060       5442.40  Player 26       NaN    114.0   \n",
       "1903         5442.40     136078       5443.12  Player 26       NaN    114.0   \n",
       "1909         5481.04     137026       5481.04   Player21       NaN     55.2   \n",
       "1918         5496.64     137416       5496.64   Player20       NaN     81.6   \n",
       "1923         5533.08     138327       5533.08   Player17       NaN     34.8   \n",
       "1925         5537.80     138445       5537.80   Player17       NaN      NaN   \n",
       "1928         5597.04     139926       5597.04   Player25       NaN      1.2   \n",
       "1929         5600.40     140058       5602.32   Player25  Player21     15.6   \n",
       "1930         5604.88     140183       5607.32   Player21       NaN     55.2   \n",
       "1932         5607.32     140183       5607.32   Player24       NaN     81.6   \n",
       "\n",
       "      Start Y  End X  End Y  Possession  \n",
       "1902     36.8    NaN    NaN       135.0  \n",
       "1903     36.8  123.6   32.8       135.0  \n",
       "1909     61.6    NaN    NaN       135.0  \n",
       "1918      5.6    NaN    NaN       135.0  \n",
       "1923     38.4    NaN    NaN       135.0  \n",
       "1925      NaN    NaN    NaN       135.0  \n",
       "1928     41.6    NaN    NaN       135.0  \n",
       "1929     40.0   43.2   64.0       135.0  \n",
       "1930     61.6   85.2   19.2       135.0  \n",
       "1932     24.0    NaN    NaN       136.0  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "away_events = events[events['Team'] == 'Away']\n",
    "away_events.loc[:, 'Type_shift'] = away_events.loc[:, 'Type'].shift(1)\n",
    "possession_count = 1\n",
    "for index, row in away_events.iterrows():\n",
    "    if (away_events.loc[index, 'Type_shift'] == 'BALL LOST') | (away_events.loc[index, 'Type_shift'] == 'BALL OUT'):\n",
    "        possession_count += 1\n",
    "        away_events.loc[index, 'Possession'] = possession_count\n",
    "    else:\n",
    "        away_events.loc[index, 'Possession'] = possession_count\n",
    "    possession_count = possession_count\n",
    "away_events.drop(['Type_shift'], axis=1, inplace=True)\n",
    "away_possession_frames = away_events.groupby(['Possession']).agg({'Start Frame': 'min', 'End Frame':'max'}).reset_index()\n",
    "print('There are {} possessions for the Away team.'.format(away_possession_frames.shape[0]))\n",
    "away_events.tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculate xG for all Frames\n",
    "\n",
    "For each frame in the tracking data, create features for calculating the xG for each frame according to each specified attacking team.\n",
    "\n",
    "Eg. for Home team, the distance calculated will be the distance to the opponents (playing_direction = left to right). And opposite for the Away team.\n",
    "\n",
    "### Home"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T13:50:10.067870Z",
     "start_time": "2021-01-03T13:22:31.029463Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Period</th>\n",
       "      <th>Time [s]</th>\n",
       "      <th>Home_11_x</th>\n",
       "      <th>Home_11_y</th>\n",
       "      <th>Home_1_x</th>\n",
       "      <th>Home_1_y</th>\n",
       "      <th>Home_2_x</th>\n",
       "      <th>Home_2_y</th>\n",
       "      <th>Home_3_x</th>\n",
       "      <th>Home_3_y</th>\n",
       "      <th>Home_4_x</th>\n",
       "      <th>Home_4_y</th>\n",
       "      <th>Home_5_x</th>\n",
       "      <th>Home_5_y</th>\n",
       "      <th>Home_6_x</th>\n",
       "      <th>Home_6_y</th>\n",
       "      <th>Home_7_x</th>\n",
       "      <th>Home_7_y</th>\n",
       "      <th>Home_8_x</th>\n",
       "      <th>Home_8_y</th>\n",
       "      <th>Home_9_x</th>\n",
       "      <th>Home_9_y</th>\n",
       "      <th>Home_10_x</th>\n",
       "      <th>Home_10_y</th>\n",
       "      <th>Home_12_x</th>\n",
       "      <th>Home_12_y</th>\n",
       "      <th>Home_13_x</th>\n",
       "      <th>Home_13_y</th>\n",
       "      <th>Home_14_x</th>\n",
       "      <th>Home_14_y</th>\n",
       "      <th>ball_x</th>\n",
       "      <th>ball_y</th>\n",
       "      <th>Away_25_x</th>\n",
       "      <th>Away_25_y</th>\n",
       "      <th>Away_15_x</th>\n",
       "      <th>Away_15_y</th>\n",
       "      <th>Away_16_x</th>\n",
       "      <th>Away_16_y</th>\n",
       "      <th>Away_17_x</th>\n",
       "      <th>Away_17_y</th>\n",
       "      <th>Away_18_x</th>\n",
       "      <th>Away_18_y</th>\n",
       "      <th>Away_19_x</th>\n",
       "      <th>Away_19_y</th>\n",
       "      <th>Away_20_x</th>\n",
       "      <th>Away_20_y</th>\n",
       "      <th>Away_21_x</th>\n",
       "      <th>Away_21_y</th>\n",
       "      <th>Away_22_x</th>\n",
       "      <th>Away_22_y</th>\n",
       "      <th>Away_23_x</th>\n",
       "      <th>Away_23_y</th>\n",
       "      <th>Away_24_x</th>\n",
       "      <th>Away_24_y</th>\n",
       "      <th>Away_26_x</th>\n",
       "      <th>Away_26_y</th>\n",
       "      <th>distance</th>\n",
       "      <th>angle</th>\n",
       "      <th>distance_nearest_defender</th>\n",
       "      <th>number_blocking_defenders</th>\n",
       "      <th>xG</th>\n",
       "      <th>distance_nearest_attacker</th>\n",
       "      <th>non_shot_xG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.04</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>28.0068</td>\n",
       "      <td>59.3048</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4692</td>\n",
       "      <td>14.5232</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0.08</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>28.0068</td>\n",
       "      <td>59.3048</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4692</td>\n",
       "      <td>14.5232</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0.12</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>28.0068</td>\n",
       "      <td>59.3048</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4692</td>\n",
       "      <td>14.5232</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0.16</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>27.9048</td>\n",
       "      <td>59.3040</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4032</td>\n",
       "      <td>14.5224</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0.20</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>27.8040</td>\n",
       "      <td>59.3032</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.3396</td>\n",
       "      <td>14.5224</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Period  Time [s]  Home_11_x  Home_11_y  Home_1_x  Home_1_y  Home_2_x  \\\n",
       "0       1      0.04     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "1       1      0.08     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "2       1      0.12     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "3       1      0.16     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "4       1      0.20     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "\n",
       "   Home_2_y  Home_3_x  Home_3_y  Home_4_x  Home_4_y  Home_5_x  Home_5_y  \\\n",
       "0   45.7576   83.8584   35.5152   77.2176   18.9976   28.0068   59.3048   \n",
       "1   45.7576   83.8584   35.5152   77.2176   18.9976   28.0068   59.3048   \n",
       "2   45.7576   83.8584   35.5152   77.2176   18.9976   28.0068   59.3048   \n",
       "3   45.7576   83.8584   35.5152   77.2176   18.9976   27.9048   59.3040   \n",
       "4   45.7576   83.8584   35.5152   77.2176   18.9976   27.8040   59.3032   \n",
       "\n",
       "   Home_6_x  Home_6_y  Home_7_x  Home_7_y  Home_8_x  Home_8_y  Home_9_x  \\\n",
       "0   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "1   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "2   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "3   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "4   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "\n",
       "   Home_9_y  Home_10_x  Home_10_y  Home_12_x  Home_12_y  Home_13_x  Home_13_y  \\\n",
       "0   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "1   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "2   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "3   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "4   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "\n",
       "   Home_14_x  Home_14_y  ball_x  ball_y  Away_25_x  Away_25_y  Away_15_x  \\\n",
       "0        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4692   \n",
       "1        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4692   \n",
       "2        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4692   \n",
       "3        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4032   \n",
       "4        NaN        NaN     NaN     NaN     1.4616    38.5896    39.3396   \n",
       "\n",
       "   Away_15_y  Away_16_x  Away_16_y  Away_17_x  Away_17_y  Away_18_x  \\\n",
       "0    14.5232    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "1    14.5232    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "2    14.5232    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "3    14.5224    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "4    14.5224    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "\n",
       "   Away_18_y  Away_19_x  Away_19_y  Away_20_x  Away_20_y  Away_21_x  \\\n",
       "0    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "1    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "2    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "3    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "4    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "\n",
       "   Away_21_y  Away_22_x  Away_22_y  Away_23_x  Away_23_y  Away_24_x  \\\n",
       "0    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "1    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "2    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "3    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "4    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "\n",
       "   Away_24_y  Away_26_x  Away_26_y  distance  angle  \\\n",
       "0    51.0128        NaN        NaN       NaN    NaN   \n",
       "1    51.0128        NaN        NaN       NaN    NaN   \n",
       "2    51.0128        NaN        NaN       NaN    NaN   \n",
       "3    51.0128        NaN        NaN       NaN    NaN   \n",
       "4    51.0128        NaN        NaN       NaN    NaN   \n",
       "\n",
       "   distance_nearest_defender  number_blocking_defenders  xG  \\\n",
       "0                        NaN                        0.0 NaN   \n",
       "1                        NaN                        0.0 NaN   \n",
       "2                        NaN                        0.0 NaN   \n",
       "3                        NaN                        0.0 NaN   \n",
       "4                        NaN                        0.0 NaN   \n",
       "\n",
       "   distance_nearest_attacker  non_shot_xG  \n",
       "0                        NaN          NaN  \n",
       "1                        NaN          NaN  \n",
       "2                        NaN          NaN  \n",
       "3                        NaN          NaN  \n",
       "4                        NaN          NaN  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create distance, angle and defender features\n",
    "home_tracking_frames = mfun.create_features(tracking_home = tracking_home,\n",
    "                                       tracking_away = tracking_away,\n",
    "                                       start_frame = 0,\n",
    "                                       number_frames = tracking_home.shape[0],\n",
    "                                       field_dimen = (120, 80),\n",
    "                                       attacking_team = 'Home')\n",
    "# Calculate xG using logistic regression model\n",
    "home_tracking_frames = mfun.create_xG(home_tracking_frames)\n",
    "# Calculate non-shot xG based on if the attacking team is near the ball\n",
    "home_tracking_frames = mfun.create_non_shot_xG(home_tracking_frames, attacking_team = 'Home')\n",
    "home_tracking_frames.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Away"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T14:19:08.138681Z",
     "start_time": "2021-01-03T13:50:10.068838Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Period</th>\n",
       "      <th>Time [s]</th>\n",
       "      <th>Home_11_x</th>\n",
       "      <th>Home_11_y</th>\n",
       "      <th>Home_1_x</th>\n",
       "      <th>Home_1_y</th>\n",
       "      <th>Home_2_x</th>\n",
       "      <th>Home_2_y</th>\n",
       "      <th>Home_3_x</th>\n",
       "      <th>Home_3_y</th>\n",
       "      <th>Home_4_x</th>\n",
       "      <th>Home_4_y</th>\n",
       "      <th>Home_5_x</th>\n",
       "      <th>Home_5_y</th>\n",
       "      <th>Home_6_x</th>\n",
       "      <th>Home_6_y</th>\n",
       "      <th>Home_7_x</th>\n",
       "      <th>Home_7_y</th>\n",
       "      <th>Home_8_x</th>\n",
       "      <th>Home_8_y</th>\n",
       "      <th>Home_9_x</th>\n",
       "      <th>Home_9_y</th>\n",
       "      <th>Home_10_x</th>\n",
       "      <th>Home_10_y</th>\n",
       "      <th>Home_12_x</th>\n",
       "      <th>Home_12_y</th>\n",
       "      <th>Home_13_x</th>\n",
       "      <th>Home_13_y</th>\n",
       "      <th>Home_14_x</th>\n",
       "      <th>Home_14_y</th>\n",
       "      <th>ball_x</th>\n",
       "      <th>ball_y</th>\n",
       "      <th>Away_25_x</th>\n",
       "      <th>Away_25_y</th>\n",
       "      <th>Away_15_x</th>\n",
       "      <th>Away_15_y</th>\n",
       "      <th>Away_16_x</th>\n",
       "      <th>Away_16_y</th>\n",
       "      <th>Away_17_x</th>\n",
       "      <th>Away_17_y</th>\n",
       "      <th>Away_18_x</th>\n",
       "      <th>Away_18_y</th>\n",
       "      <th>Away_19_x</th>\n",
       "      <th>Away_19_y</th>\n",
       "      <th>Away_20_x</th>\n",
       "      <th>Away_20_y</th>\n",
       "      <th>Away_21_x</th>\n",
       "      <th>Away_21_y</th>\n",
       "      <th>Away_22_x</th>\n",
       "      <th>Away_22_y</th>\n",
       "      <th>Away_23_x</th>\n",
       "      <th>Away_23_y</th>\n",
       "      <th>Away_24_x</th>\n",
       "      <th>Away_24_y</th>\n",
       "      <th>Away_26_x</th>\n",
       "      <th>Away_26_y</th>\n",
       "      <th>distance</th>\n",
       "      <th>angle</th>\n",
       "      <th>distance_nearest_defender</th>\n",
       "      <th>number_blocking_defenders</th>\n",
       "      <th>xG</th>\n",
       "      <th>distance_nearest_attacker</th>\n",
       "      <th>non_shot_xG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.04</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>28.0068</td>\n",
       "      <td>59.3048</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4692</td>\n",
       "      <td>14.5232</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0.08</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>28.0068</td>\n",
       "      <td>59.3048</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4692</td>\n",
       "      <td>14.5232</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0.12</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>28.0068</td>\n",
       "      <td>59.3048</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4692</td>\n",
       "      <td>14.5232</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0.16</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>27.9048</td>\n",
       "      <td>59.3040</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4032</td>\n",
       "      <td>14.5224</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0.20</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>27.8040</td>\n",
       "      <td>59.3032</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.3396</td>\n",
       "      <td>14.5224</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Period  Time [s]  Home_11_x  Home_11_y  Home_1_x  Home_1_y  Home_2_x  \\\n",
       "0       1      0.04     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "1       1      0.08     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "2       1      0.12     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "3       1      0.16     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "4       1      0.20     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "\n",
       "   Home_2_y  Home_3_x  Home_3_y  Home_4_x  Home_4_y  Home_5_x  Home_5_y  \\\n",
       "0   45.7576   83.8584   35.5152   77.2176   18.9976   28.0068   59.3048   \n",
       "1   45.7576   83.8584   35.5152   77.2176   18.9976   28.0068   59.3048   \n",
       "2   45.7576   83.8584   35.5152   77.2176   18.9976   28.0068   59.3048   \n",
       "3   45.7576   83.8584   35.5152   77.2176   18.9976   27.9048   59.3040   \n",
       "4   45.7576   83.8584   35.5152   77.2176   18.9976   27.8040   59.3032   \n",
       "\n",
       "   Home_6_x  Home_6_y  Home_7_x  Home_7_y  Home_8_x  Home_8_y  Home_9_x  \\\n",
       "0   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "1   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "2   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "3   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "4   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "\n",
       "   Home_9_y  Home_10_x  Home_10_y  Home_12_x  Home_12_y  Home_13_x  Home_13_y  \\\n",
       "0   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "1   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "2   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "3   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "4   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "\n",
       "   Home_14_x  Home_14_y  ball_x  ball_y  Away_25_x  Away_25_y  Away_15_x  \\\n",
       "0        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4692   \n",
       "1        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4692   \n",
       "2        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4692   \n",
       "3        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4032   \n",
       "4        NaN        NaN     NaN     NaN     1.4616    38.5896    39.3396   \n",
       "\n",
       "   Away_15_y  Away_16_x  Away_16_y  Away_17_x  Away_17_y  Away_18_x  \\\n",
       "0    14.5232    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "1    14.5232    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "2    14.5232    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "3    14.5224    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "4    14.5224    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "\n",
       "   Away_18_y  Away_19_x  Away_19_y  Away_20_x  Away_20_y  Away_21_x  \\\n",
       "0    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "1    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "2    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "3    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "4    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "\n",
       "   Away_21_y  Away_22_x  Away_22_y  Away_23_x  Away_23_y  Away_24_x  \\\n",
       "0    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "1    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "2    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "3    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "4    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "\n",
       "   Away_24_y  Away_26_x  Away_26_y  distance  angle  \\\n",
       "0    51.0128        NaN        NaN       NaN    NaN   \n",
       "1    51.0128        NaN        NaN       NaN    NaN   \n",
       "2    51.0128        NaN        NaN       NaN    NaN   \n",
       "3    51.0128        NaN        NaN       NaN    NaN   \n",
       "4    51.0128        NaN        NaN       NaN    NaN   \n",
       "\n",
       "   distance_nearest_defender  number_blocking_defenders  xG  \\\n",
       "0                        NaN                        0.0 NaN   \n",
       "1                        NaN                        0.0 NaN   \n",
       "2                        NaN                        0.0 NaN   \n",
       "3                        NaN                        0.0 NaN   \n",
       "4                        NaN                        0.0 NaN   \n",
       "\n",
       "   distance_nearest_attacker  non_shot_xG  \n",
       "0                        NaN          NaN  \n",
       "1                        NaN          NaN  \n",
       "2                        NaN          NaN  \n",
       "3                        NaN          NaN  \n",
       "4                        NaN          NaN  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create distance, angle and defender features\n",
    "away_tracking_frames = mfun.create_features(tracking_home = tracking_home,\n",
    "                                           tracking_away = tracking_away,\n",
    "                                           start_frame = 0,\n",
    "                                           number_frames = tracking_home.shape[0],\n",
    "                                           field_dimen = (120, 80),\n",
    "                                           attacking_team = 'Away',\n",
    "                                           playing_direction = 'left-right')\n",
    "# Calculate xG using logistic regression model\n",
    "away_tracking_frames = mfun.create_xG(away_tracking_frames)\n",
    "# Calculate non-shot xG based on if the attacking team is near the ball\n",
    "away_tracking_frames = mfun.create_non_shot_xG(away_tracking_frames, attacking_team = 'Away')\n",
    "away_tracking_frames.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Merge on Possession Indentifier by Frames\n",
    "\n",
    "Respective Home / Away Possession columns identify the frames which that possession cover. So if Home Possession == 1 for a row, then it's the first possession for the Home team. Similar for Away team.\n",
    "\n",
    "This is to ensure we only include the xG values for frames where the team has possession of the ball. We can also use the possessions to find the highest xG_available to the team during that possession.\n",
    "\n",
    "### Home"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T14:45:25.731649Z",
     "start_time": "2021-01-03T14:19:08.140677Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Period</th>\n",
       "      <th>Time [s]</th>\n",
       "      <th>Home_11_x</th>\n",
       "      <th>Home_11_y</th>\n",
       "      <th>Home_1_x</th>\n",
       "      <th>Home_1_y</th>\n",
       "      <th>Home_2_x</th>\n",
       "      <th>Home_2_y</th>\n",
       "      <th>Home_3_x</th>\n",
       "      <th>Home_3_y</th>\n",
       "      <th>Home_4_x</th>\n",
       "      <th>Home_4_y</th>\n",
       "      <th>Home_5_x</th>\n",
       "      <th>Home_5_y</th>\n",
       "      <th>Home_6_x</th>\n",
       "      <th>Home_6_y</th>\n",
       "      <th>Home_7_x</th>\n",
       "      <th>Home_7_y</th>\n",
       "      <th>Home_8_x</th>\n",
       "      <th>Home_8_y</th>\n",
       "      <th>Home_9_x</th>\n",
       "      <th>Home_9_y</th>\n",
       "      <th>Home_10_x</th>\n",
       "      <th>Home_10_y</th>\n",
       "      <th>Home_12_x</th>\n",
       "      <th>Home_12_y</th>\n",
       "      <th>Home_13_x</th>\n",
       "      <th>Home_13_y</th>\n",
       "      <th>Home_14_x</th>\n",
       "      <th>Home_14_y</th>\n",
       "      <th>ball_x</th>\n",
       "      <th>ball_y</th>\n",
       "      <th>Away_25_x</th>\n",
       "      <th>Away_25_y</th>\n",
       "      <th>Away_15_x</th>\n",
       "      <th>Away_15_y</th>\n",
       "      <th>Away_16_x</th>\n",
       "      <th>Away_16_y</th>\n",
       "      <th>Away_17_x</th>\n",
       "      <th>Away_17_y</th>\n",
       "      <th>Away_18_x</th>\n",
       "      <th>Away_18_y</th>\n",
       "      <th>Away_19_x</th>\n",
       "      <th>Away_19_y</th>\n",
       "      <th>Away_20_x</th>\n",
       "      <th>Away_20_y</th>\n",
       "      <th>Away_21_x</th>\n",
       "      <th>Away_21_y</th>\n",
       "      <th>Away_22_x</th>\n",
       "      <th>Away_22_y</th>\n",
       "      <th>Away_23_x</th>\n",
       "      <th>Away_23_y</th>\n",
       "      <th>Away_24_x</th>\n",
       "      <th>Away_24_y</th>\n",
       "      <th>Away_26_x</th>\n",
       "      <th>Away_26_y</th>\n",
       "      <th>distance</th>\n",
       "      <th>angle</th>\n",
       "      <th>distance_nearest_defender</th>\n",
       "      <th>number_blocking_defenders</th>\n",
       "      <th>xG</th>\n",
       "      <th>distance_nearest_attacker</th>\n",
       "      <th>non_shot_xG</th>\n",
       "      <th>Home Possession</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.04</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>28.0068</td>\n",
       "      <td>59.3048</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4692</td>\n",
       "      <td>14.5232</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0.08</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>28.0068</td>\n",
       "      <td>59.3048</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4692</td>\n",
       "      <td>14.5232</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0.12</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>28.0068</td>\n",
       "      <td>59.3048</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4692</td>\n",
       "      <td>14.5232</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0.16</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>27.9048</td>\n",
       "      <td>59.3040</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4032</td>\n",
       "      <td>14.5224</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0.20</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>27.8040</td>\n",
       "      <td>59.3032</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.3396</td>\n",
       "      <td>14.5224</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Period  Time [s]  Home_11_x  Home_11_y  Home_1_x  Home_1_y  Home_2_x  \\\n",
       "0       1      0.04     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "1       1      0.08     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "2       1      0.12     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "3       1      0.16     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "4       1      0.20     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "\n",
       "   Home_2_y  Home_3_x  Home_3_y  Home_4_x  Home_4_y  Home_5_x  Home_5_y  \\\n",
       "0   45.7576   83.8584   35.5152   77.2176   18.9976   28.0068   59.3048   \n",
       "1   45.7576   83.8584   35.5152   77.2176   18.9976   28.0068   59.3048   \n",
       "2   45.7576   83.8584   35.5152   77.2176   18.9976   28.0068   59.3048   \n",
       "3   45.7576   83.8584   35.5152   77.2176   18.9976   27.9048   59.3040   \n",
       "4   45.7576   83.8584   35.5152   77.2176   18.9976   27.8040   59.3032   \n",
       "\n",
       "   Home_6_x  Home_6_y  Home_7_x  Home_7_y  Home_8_x  Home_8_y  Home_9_x  \\\n",
       "0   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "1   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "2   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "3   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "4   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "\n",
       "   Home_9_y  Home_10_x  Home_10_y  Home_12_x  Home_12_y  Home_13_x  Home_13_y  \\\n",
       "0   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "1   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "2   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "3   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "4   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "\n",
       "   Home_14_x  Home_14_y  ball_x  ball_y  Away_25_x  Away_25_y  Away_15_x  \\\n",
       "0        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4692   \n",
       "1        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4692   \n",
       "2        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4692   \n",
       "3        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4032   \n",
       "4        NaN        NaN     NaN     NaN     1.4616    38.5896    39.3396   \n",
       "\n",
       "   Away_15_y  Away_16_x  Away_16_y  Away_17_x  Away_17_y  Away_18_x  \\\n",
       "0    14.5232    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "1    14.5232    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "2    14.5232    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "3    14.5224    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "4    14.5224    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "\n",
       "   Away_18_y  Away_19_x  Away_19_y  Away_20_x  Away_20_y  Away_21_x  \\\n",
       "0    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "1    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "2    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "3    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "4    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "\n",
       "   Away_21_y  Away_22_x  Away_22_y  Away_23_x  Away_23_y  Away_24_x  \\\n",
       "0    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "1    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "2    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "3    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "4    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "\n",
       "   Away_24_y  Away_26_x  Away_26_y  distance  angle  \\\n",
       "0    51.0128        NaN        NaN       NaN    NaN   \n",
       "1    51.0128        NaN        NaN       NaN    NaN   \n",
       "2    51.0128        NaN        NaN       NaN    NaN   \n",
       "3    51.0128        NaN        NaN       NaN    NaN   \n",
       "4    51.0128        NaN        NaN       NaN    NaN   \n",
       "\n",
       "   distance_nearest_defender  number_blocking_defenders  xG  \\\n",
       "0                        NaN                        0.0 NaN   \n",
       "1                        NaN                        0.0 NaN   \n",
       "2                        NaN                        0.0 NaN   \n",
       "3                        NaN                        0.0 NaN   \n",
       "4                        NaN                        0.0 NaN   \n",
       "\n",
       "   distance_nearest_attacker  non_shot_xG  Home Possession  \n",
       "0                        NaN          NaN              NaN  \n",
       "1                        NaN          NaN              NaN  \n",
       "2                        NaN          NaN              NaN  \n",
       "3                        NaN          NaN              NaN  \n",
       "4                        NaN          NaN              NaN  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Map the Possession identifiers to the respective tracking frames\n",
    "for index1, row1 in home_tracking_frames.iterrows():\n",
    "    for index2, row2 in home_possession_frames.iterrows():\n",
    "        if (index1 > home_possession_frames.loc[index2, 'Start Frame']) & (index1 < home_possession_frames.loc[index2, 'End Frame']):\n",
    "            home_tracking_frames.loc[index1, 'Home Possession'] = home_possession_frames.loc[index2, 'Possession']\n",
    "            next\n",
    "home_tracking_frames.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Away"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T15:10:50.199615Z",
     "start_time": "2021-01-03T14:45:25.732624Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Period</th>\n",
       "      <th>Time [s]</th>\n",
       "      <th>Home_11_x</th>\n",
       "      <th>Home_11_y</th>\n",
       "      <th>Home_1_x</th>\n",
       "      <th>Home_1_y</th>\n",
       "      <th>Home_2_x</th>\n",
       "      <th>Home_2_y</th>\n",
       "      <th>Home_3_x</th>\n",
       "      <th>Home_3_y</th>\n",
       "      <th>Home_4_x</th>\n",
       "      <th>Home_4_y</th>\n",
       "      <th>Home_5_x</th>\n",
       "      <th>Home_5_y</th>\n",
       "      <th>Home_6_x</th>\n",
       "      <th>Home_6_y</th>\n",
       "      <th>Home_7_x</th>\n",
       "      <th>Home_7_y</th>\n",
       "      <th>Home_8_x</th>\n",
       "      <th>Home_8_y</th>\n",
       "      <th>Home_9_x</th>\n",
       "      <th>Home_9_y</th>\n",
       "      <th>Home_10_x</th>\n",
       "      <th>Home_10_y</th>\n",
       "      <th>Home_12_x</th>\n",
       "      <th>Home_12_y</th>\n",
       "      <th>Home_13_x</th>\n",
       "      <th>Home_13_y</th>\n",
       "      <th>Home_14_x</th>\n",
       "      <th>Home_14_y</th>\n",
       "      <th>ball_x</th>\n",
       "      <th>ball_y</th>\n",
       "      <th>Away_25_x</th>\n",
       "      <th>Away_25_y</th>\n",
       "      <th>Away_15_x</th>\n",
       "      <th>Away_15_y</th>\n",
       "      <th>Away_16_x</th>\n",
       "      <th>Away_16_y</th>\n",
       "      <th>Away_17_x</th>\n",
       "      <th>Away_17_y</th>\n",
       "      <th>Away_18_x</th>\n",
       "      <th>Away_18_y</th>\n",
       "      <th>Away_19_x</th>\n",
       "      <th>Away_19_y</th>\n",
       "      <th>Away_20_x</th>\n",
       "      <th>Away_20_y</th>\n",
       "      <th>Away_21_x</th>\n",
       "      <th>Away_21_y</th>\n",
       "      <th>Away_22_x</th>\n",
       "      <th>Away_22_y</th>\n",
       "      <th>Away_23_x</th>\n",
       "      <th>Away_23_y</th>\n",
       "      <th>Away_24_x</th>\n",
       "      <th>Away_24_y</th>\n",
       "      <th>Away_26_x</th>\n",
       "      <th>Away_26_y</th>\n",
       "      <th>distance</th>\n",
       "      <th>angle</th>\n",
       "      <th>distance_nearest_defender</th>\n",
       "      <th>number_blocking_defenders</th>\n",
       "      <th>xG</th>\n",
       "      <th>distance_nearest_attacker</th>\n",
       "      <th>non_shot_xG</th>\n",
       "      <th>Away Possession</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.04</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>28.0068</td>\n",
       "      <td>59.3048</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4692</td>\n",
       "      <td>14.5232</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0.08</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>28.0068</td>\n",
       "      <td>59.3048</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4692</td>\n",
       "      <td>14.5232</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0.12</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>28.0068</td>\n",
       "      <td>59.3048</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4692</td>\n",
       "      <td>14.5232</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0.16</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>27.9048</td>\n",
       "      <td>59.3040</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.4032</td>\n",
       "      <td>14.5224</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0.20</td>\n",
       "      <td>113.13</td>\n",
       "      <td>39.6696</td>\n",
       "      <td>77.7744</td>\n",
       "      <td>57.116</td>\n",
       "      <td>81.3024</td>\n",
       "      <td>45.7576</td>\n",
       "      <td>83.8584</td>\n",
       "      <td>35.5152</td>\n",
       "      <td>77.2176</td>\n",
       "      <td>18.9976</td>\n",
       "      <td>27.8040</td>\n",
       "      <td>59.3032</td>\n",
       "      <td>72.3228</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>70.2096</td>\n",
       "      <td>37.5864</td>\n",
       "      <td>63.7956</td>\n",
       "      <td>19.9328</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>55.8904</td>\n",
       "      <td>60.2328</td>\n",
       "      <td>31.1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.4616</td>\n",
       "      <td>38.5896</td>\n",
       "      <td>39.3396</td>\n",
       "      <td>14.5224</td>\n",
       "      <td>36.8808</td>\n",
       "      <td>35.8544</td>\n",
       "      <td>38.682</td>\n",
       "      <td>48.8368</td>\n",
       "      <td>43.806</td>\n",
       "      <td>55.1608</td>\n",
       "      <td>59.4768</td>\n",
       "      <td>6.9088</td>\n",
       "      <td>47.7744</td>\n",
       "      <td>42.2256</td>\n",
       "      <td>51.9756</td>\n",
       "      <td>54.9168</td>\n",
       "      <td>59.8668</td>\n",
       "      <td>81.8104</td>\n",
       "      <td>60.2124</td>\n",
       "      <td>39.884</td>\n",
       "      <td>59.4204</td>\n",
       "      <td>51.0128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Period  Time [s]  Home_11_x  Home_11_y  Home_1_x  Home_1_y  Home_2_x  \\\n",
       "0       1      0.04     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "1       1      0.08     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "2       1      0.12     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "3       1      0.16     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "4       1      0.20     113.13    39.6696   77.7744    57.116   81.3024   \n",
       "\n",
       "   Home_2_y  Home_3_x  Home_3_y  Home_4_x  Home_4_y  Home_5_x  Home_5_y  \\\n",
       "0   45.7576   83.8584   35.5152   77.2176   18.9976   28.0068   59.3048   \n",
       "1   45.7576   83.8584   35.5152   77.2176   18.9976   28.0068   59.3048   \n",
       "2   45.7576   83.8584   35.5152   77.2176   18.9976   28.0068   59.3048   \n",
       "3   45.7576   83.8584   35.5152   77.2176   18.9976   27.9048   59.3040   \n",
       "4   45.7576   83.8584   35.5152   77.2176   18.9976   27.8040   59.3032   \n",
       "\n",
       "   Home_6_x  Home_6_y  Home_7_x  Home_7_y  Home_8_x  Home_8_y  Home_9_x  \\\n",
       "0   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "1   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "2   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "3   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "4   72.3228   42.0824   70.2096   37.5864   63.7956   19.9328   60.7644   \n",
       "\n",
       "   Home_9_y  Home_10_x  Home_10_y  Home_12_x  Home_12_y  Home_13_x  Home_13_y  \\\n",
       "0   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "1   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "2   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "3   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "4   55.8904    60.2328    31.1016        NaN        NaN        NaN        NaN   \n",
       "\n",
       "   Home_14_x  Home_14_y  ball_x  ball_y  Away_25_x  Away_25_y  Away_15_x  \\\n",
       "0        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4692   \n",
       "1        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4692   \n",
       "2        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4692   \n",
       "3        NaN        NaN     NaN     NaN     1.4616    38.5896    39.4032   \n",
       "4        NaN        NaN     NaN     NaN     1.4616    38.5896    39.3396   \n",
       "\n",
       "   Away_15_y  Away_16_x  Away_16_y  Away_17_x  Away_17_y  Away_18_x  \\\n",
       "0    14.5232    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "1    14.5232    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "2    14.5232    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "3    14.5224    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "4    14.5224    36.8808    35.8544     38.682    48.8368     43.806   \n",
       "\n",
       "   Away_18_y  Away_19_x  Away_19_y  Away_20_x  Away_20_y  Away_21_x  \\\n",
       "0    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "1    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "2    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "3    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "4    55.1608    59.4768     6.9088    47.7744    42.2256    51.9756   \n",
       "\n",
       "   Away_21_y  Away_22_x  Away_22_y  Away_23_x  Away_23_y  Away_24_x  \\\n",
       "0    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "1    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "2    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "3    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "4    54.9168    59.8668    81.8104    60.2124     39.884    59.4204   \n",
       "\n",
       "   Away_24_y  Away_26_x  Away_26_y  distance  angle  \\\n",
       "0    51.0128        NaN        NaN       NaN    NaN   \n",
       "1    51.0128        NaN        NaN       NaN    NaN   \n",
       "2    51.0128        NaN        NaN       NaN    NaN   \n",
       "3    51.0128        NaN        NaN       NaN    NaN   \n",
       "4    51.0128        NaN        NaN       NaN    NaN   \n",
       "\n",
       "   distance_nearest_defender  number_blocking_defenders  xG  \\\n",
       "0                        NaN                        0.0 NaN   \n",
       "1                        NaN                        0.0 NaN   \n",
       "2                        NaN                        0.0 NaN   \n",
       "3                        NaN                        0.0 NaN   \n",
       "4                        NaN                        0.0 NaN   \n",
       "\n",
       "   distance_nearest_attacker  non_shot_xG  Away Possession  \n",
       "0                        NaN          NaN              NaN  \n",
       "1                        NaN          NaN              NaN  \n",
       "2                        NaN          NaN              NaN  \n",
       "3                        NaN          NaN              NaN  \n",
       "4                        NaN          NaN              NaN  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Map the Possession identifiers to the respective tracking frames\n",
    "for index1, row1 in away_tracking_frames.iterrows():\n",
    "    for index2, row2 in away_possession_frames.iterrows():\n",
    "        if (index1 > away_possession_frames.loc[index2, 'Start Frame']) & (index1 < away_possession_frames.loc[index2, 'End Frame']):\n",
    "            away_tracking_frames.loc[index1, 'Away Possession'] = away_possession_frames.loc[index2, 'Possession']\n",
    "            next\n",
    "away_tracking_frames.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Include a Shot Indicator\n",
    "\n",
    "The shot indicator will allow the tracking data to know when an actual shot took place. For possessions where shots took place, the xG of the shot can be used to override and other non_shot_xG since the shot takes priority."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T15:10:50.575616Z",
     "start_time": "2021-01-03T15:10:50.200634Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Period</th>\n",
       "      <th>Time [s]</th>\n",
       "      <th>Home_11_x</th>\n",
       "      <th>Home_11_y</th>\n",
       "      <th>Home_1_x</th>\n",
       "      <th>Home_1_y</th>\n",
       "      <th>Home_2_x</th>\n",
       "      <th>Home_2_y</th>\n",
       "      <th>Home_3_x</th>\n",
       "      <th>Home_3_y</th>\n",
       "      <th>Home_4_x</th>\n",
       "      <th>Home_4_y</th>\n",
       "      <th>Home_5_x</th>\n",
       "      <th>Home_5_y</th>\n",
       "      <th>Home_6_x</th>\n",
       "      <th>Home_6_y</th>\n",
       "      <th>Home_7_x</th>\n",
       "      <th>Home_7_y</th>\n",
       "      <th>Home_8_x</th>\n",
       "      <th>Home_8_y</th>\n",
       "      <th>Home_9_x</th>\n",
       "      <th>Home_9_y</th>\n",
       "      <th>Home_10_x</th>\n",
       "      <th>Home_10_y</th>\n",
       "      <th>Home_12_x</th>\n",
       "      <th>Home_12_y</th>\n",
       "      <th>Home_13_x</th>\n",
       "      <th>Home_13_y</th>\n",
       "      <th>Home_14_x</th>\n",
       "      <th>Home_14_y</th>\n",
       "      <th>ball_x</th>\n",
       "      <th>ball_y</th>\n",
       "      <th>Away_25_x</th>\n",
       "      <th>Away_25_y</th>\n",
       "      <th>Away_15_x</th>\n",
       "      <th>Away_15_y</th>\n",
       "      <th>Away_16_x</th>\n",
       "      <th>Away_16_y</th>\n",
       "      <th>Away_17_x</th>\n",
       "      <th>Away_17_y</th>\n",
       "      <th>Away_18_x</th>\n",
       "      <th>Away_18_y</th>\n",
       "      <th>Away_19_x</th>\n",
       "      <th>Away_19_y</th>\n",
       "      <th>Away_20_x</th>\n",
       "      <th>Away_20_y</th>\n",
       "      <th>Away_21_x</th>\n",
       "      <th>Away_21_y</th>\n",
       "      <th>Away_22_x</th>\n",
       "      <th>Away_22_y</th>\n",
       "      <th>Away_23_x</th>\n",
       "      <th>Away_23_y</th>\n",
       "      <th>Away_24_x</th>\n",
       "      <th>Away_24_y</th>\n",
       "      <th>Away_26_x</th>\n",
       "      <th>Away_26_y</th>\n",
       "      <th>distance</th>\n",
       "      <th>angle</th>\n",
       "      <th>distance_nearest_defender</th>\n",
       "      <th>number_blocking_defenders</th>\n",
       "      <th>xG</th>\n",
       "      <th>distance_nearest_attacker</th>\n",
       "      <th>non_shot_xG</th>\n",
       "      <th>Home Possession</th>\n",
       "      <th>Shot Indicator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4418</th>\n",
       "      <td>1</td>\n",
       "      <td>176.76</td>\n",
       "      <td>89.2344</td>\n",
       "      <td>43.1432</td>\n",
       "      <td>12.7356</td>\n",
       "      <td>72.4264</td>\n",
       "      <td>41.0100</td>\n",
       "      <td>58.8976</td>\n",
       "      <td>48.4584</td>\n",
       "      <td>40.9808</td>\n",
       "      <td>29.9100</td>\n",
       "      <td>31.9096</td>\n",
       "      <td>15.5784</td>\n",
       "      <td>61.7808</td>\n",
       "      <td>28.9692</td>\n",
       "      <td>45.8976</td>\n",
       "      <td>10.8684</td>\n",
       "      <td>40.0832</td>\n",
       "      <td>15.0732</td>\n",
       "      <td>37.1216</td>\n",
       "      <td>5.1240</td>\n",
       "      <td>61.5696</td>\n",
       "      <td>6.8004</td>\n",
       "      <td>41.7656</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.2712</td>\n",
       "      <td>61.7568</td>\n",
       "      <td>1.2396</td>\n",
       "      <td>43.2752</td>\n",
       "      <td>6.7500</td>\n",
       "      <td>35.9824</td>\n",
       "      <td>5.9232</td>\n",
       "      <td>41.4272</td>\n",
       "      <td>5.3892</td>\n",
       "      <td>49.6744</td>\n",
       "      <td>6.8652</td>\n",
       "      <td>60.6816</td>\n",
       "      <td>11.5932</td>\n",
       "      <td>38.6544</td>\n",
       "      <td>9.8928</td>\n",
       "      <td>53.6088</td>\n",
       "      <td>11.0784</td>\n",
       "      <td>44.4784</td>\n",
       "      <td>18.1284</td>\n",
       "      <td>60.6552</td>\n",
       "      <td>37.4964</td>\n",
       "      <td>57.2328</td>\n",
       "      <td>32.2008</td>\n",
       "      <td>35.1632</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.581345</td>\n",
       "      <td>0.159782</td>\n",
       "      <td>3.062207</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.019134</td>\n",
       "      <td>0.308136</td>\n",
       "      <td>0.019134</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12201</th>\n",
       "      <td>1</td>\n",
       "      <td>488.08</td>\n",
       "      <td>89.4348</td>\n",
       "      <td>42.1136</td>\n",
       "      <td>14.8872</td>\n",
       "      <td>60.0056</td>\n",
       "      <td>38.8380</td>\n",
       "      <td>58.7016</td>\n",
       "      <td>52.3488</td>\n",
       "      <td>39.1992</td>\n",
       "      <td>28.7604</td>\n",
       "      <td>28.3064</td>\n",
       "      <td>8.0796</td>\n",
       "      <td>48.0784</td>\n",
       "      <td>37.3908</td>\n",
       "      <td>44.5304</td>\n",
       "      <td>8.0688</td>\n",
       "      <td>48.1480</td>\n",
       "      <td>9.9564</td>\n",
       "      <td>37.8424</td>\n",
       "      <td>16.4064</td>\n",
       "      <td>17.3600</td>\n",
       "      <td>6.3096</td>\n",
       "      <td>35.6648</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.5580</td>\n",
       "      <td>36.5160</td>\n",
       "      <td>2.3316</td>\n",
       "      <td>40.3192</td>\n",
       "      <td>8.3508</td>\n",
       "      <td>33.7896</td>\n",
       "      <td>6.5988</td>\n",
       "      <td>35.7232</td>\n",
       "      <td>6.4284</td>\n",
       "      <td>46.4688</td>\n",
       "      <td>10.9176</td>\n",
       "      <td>57.9616</td>\n",
       "      <td>13.4808</td>\n",
       "      <td>34.9488</td>\n",
       "      <td>12.9936</td>\n",
       "      <td>48.7032</td>\n",
       "      <td>15.0960</td>\n",
       "      <td>40.7152</td>\n",
       "      <td>19.1748</td>\n",
       "      <td>51.6248</td>\n",
       "      <td>38.5152</td>\n",
       "      <td>58.7088</td>\n",
       "      <td>28.0848</td>\n",
       "      <td>29.6264</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.426010</td>\n",
       "      <td>0.854438</td>\n",
       "      <td>0.793849</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.330727</td>\n",
       "      <td>0.886704</td>\n",
       "      <td>0.330727</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16483</th>\n",
       "      <td>1</td>\n",
       "      <td>659.36</td>\n",
       "      <td>101.1312</td>\n",
       "      <td>41.6400</td>\n",
       "      <td>66.6408</td>\n",
       "      <td>61.2456</td>\n",
       "      <td>65.7336</td>\n",
       "      <td>47.3912</td>\n",
       "      <td>74.8644</td>\n",
       "      <td>34.2560</td>\n",
       "      <td>75.7188</td>\n",
       "      <td>26.3896</td>\n",
       "      <td>27.5664</td>\n",
       "      <td>56.9176</td>\n",
       "      <td>58.0536</td>\n",
       "      <td>45.8032</td>\n",
       "      <td>62.2416</td>\n",
       "      <td>39.9184</td>\n",
       "      <td>55.2300</td>\n",
       "      <td>27.8584</td>\n",
       "      <td>17.5884</td>\n",
       "      <td>39.0392</td>\n",
       "      <td>12.9468</td>\n",
       "      <td>53.2672</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0092</td>\n",
       "      <td>53.2904</td>\n",
       "      <td>4.1676</td>\n",
       "      <td>42.8440</td>\n",
       "      <td>14.7300</td>\n",
       "      <td>37.9832</td>\n",
       "      <td>11.2320</td>\n",
       "      <td>43.6728</td>\n",
       "      <td>11.4984</td>\n",
       "      <td>51.4880</td>\n",
       "      <td>36.6696</td>\n",
       "      <td>58.9584</td>\n",
       "      <td>63.9660</td>\n",
       "      <td>31.2696</td>\n",
       "      <td>20.4060</td>\n",
       "      <td>46.3936</td>\n",
       "      <td>35.5920</td>\n",
       "      <td>38.3232</td>\n",
       "      <td>73.2060</td>\n",
       "      <td>64.7120</td>\n",
       "      <td>77.6340</td>\n",
       "      <td>44.1040</td>\n",
       "      <td>75.4080</td>\n",
       "      <td>55.1432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.597688</td>\n",
       "      <td>0.278761</td>\n",
       "      <td>2.351842</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.048740</td>\n",
       "      <td>0.066573</td>\n",
       "      <td>0.048740</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27344</th>\n",
       "      <td>1</td>\n",
       "      <td>1093.80</td>\n",
       "      <td>87.1824</td>\n",
       "      <td>41.7352</td>\n",
       "      <td>18.1668</td>\n",
       "      <td>64.4352</td>\n",
       "      <td>39.3312</td>\n",
       "      <td>50.3256</td>\n",
       "      <td>10.2048</td>\n",
       "      <td>32.7296</td>\n",
       "      <td>57.2208</td>\n",
       "      <td>41.7944</td>\n",
       "      <td>44.1408</td>\n",
       "      <td>34.9896</td>\n",
       "      <td>17.1288</td>\n",
       "      <td>39.9992</td>\n",
       "      <td>8.9988</td>\n",
       "      <td>30.4144</td>\n",
       "      <td>14.9388</td>\n",
       "      <td>17.1008</td>\n",
       "      <td>26.0916</td>\n",
       "      <td>67.1160</td>\n",
       "      <td>8.3376</td>\n",
       "      <td>38.5528</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.3872</td>\n",
       "      <td>33.1424</td>\n",
       "      <td>3.8220</td>\n",
       "      <td>38.0144</td>\n",
       "      <td>24.4308</td>\n",
       "      <td>60.7608</td>\n",
       "      <td>9.9252</td>\n",
       "      <td>34.1216</td>\n",
       "      <td>8.0184</td>\n",
       "      <td>39.2304</td>\n",
       "      <td>13.2540</td>\n",
       "      <td>51.6048</td>\n",
       "      <td>14.8188</td>\n",
       "      <td>40.5552</td>\n",
       "      <td>18.6240</td>\n",
       "      <td>58.1008</td>\n",
       "      <td>12.8640</td>\n",
       "      <td>43.2800</td>\n",
       "      <td>28.3416</td>\n",
       "      <td>41.1200</td>\n",
       "      <td>21.6264</td>\n",
       "      <td>44.7488</td>\n",
       "      <td>11.0736</td>\n",
       "      <td>29.7216</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.446710</td>\n",
       "      <td>0.492677</td>\n",
       "      <td>1.082717</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.142581</td>\n",
       "      <td>0.451302</td>\n",
       "      <td>0.142581</td>\n",
       "      <td>33.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29753</th>\n",
       "      <td>1</td>\n",
       "      <td>1190.16</td>\n",
       "      <td>92.1264</td>\n",
       "      <td>38.9536</td>\n",
       "      <td>19.3500</td>\n",
       "      <td>54.7016</td>\n",
       "      <td>49.6296</td>\n",
       "      <td>51.9928</td>\n",
       "      <td>55.6032</td>\n",
       "      <td>36.8200</td>\n",
       "      <td>24.5328</td>\n",
       "      <td>23.6600</td>\n",
       "      <td>15.0516</td>\n",
       "      <td>38.2616</td>\n",
       "      <td>42.5604</td>\n",
       "      <td>36.0304</td>\n",
       "      <td>13.9284</td>\n",
       "      <td>28.5000</td>\n",
       "      <td>12.5928</td>\n",
       "      <td>14.6424</td>\n",
       "      <td>28.0356</td>\n",
       "      <td>31.7720</td>\n",
       "      <td>10.1076</td>\n",
       "      <td>41.2696</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.6168</td>\n",
       "      <td>23.6496</td>\n",
       "      <td>3.0540</td>\n",
       "      <td>37.4104</td>\n",
       "      <td>12.6384</td>\n",
       "      <td>19.9912</td>\n",
       "      <td>13.5480</td>\n",
       "      <td>29.2376</td>\n",
       "      <td>12.0768</td>\n",
       "      <td>38.3864</td>\n",
       "      <td>11.8140</td>\n",
       "      <td>41.3768</td>\n",
       "      <td>18.0384</td>\n",
       "      <td>22.6400</td>\n",
       "      <td>20.9016</td>\n",
       "      <td>36.9336</td>\n",
       "      <td>18.8028</td>\n",
       "      <td>27.2640</td>\n",
       "      <td>22.4664</td>\n",
       "      <td>54.2024</td>\n",
       "      <td>47.0148</td>\n",
       "      <td>54.0720</td>\n",
       "      <td>48.4500</td>\n",
       "      <td>38.4328</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.552029</td>\n",
       "      <td>0.206422</td>\n",
       "      <td>6.655422</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.031972</td>\n",
       "      <td>0.084641</td>\n",
       "      <td>0.031972</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56078</th>\n",
       "      <td>1</td>\n",
       "      <td>2243.16</td>\n",
       "      <td>86.8812</td>\n",
       "      <td>44.1416</td>\n",
       "      <td>13.6692</td>\n",
       "      <td>68.6040</td>\n",
       "      <td>42.4776</td>\n",
       "      <td>52.8176</td>\n",
       "      <td>50.6280</td>\n",
       "      <td>39.8784</td>\n",
       "      <td>34.0152</td>\n",
       "      <td>33.7248</td>\n",
       "      <td>12.5904</td>\n",
       "      <td>47.0608</td>\n",
       "      <td>35.8164</td>\n",
       "      <td>47.9080</td>\n",
       "      <td>12.4176</td>\n",
       "      <td>31.7128</td>\n",
       "      <td>20.8920</td>\n",
       "      <td>56.4576</td>\n",
       "      <td>28.3920</td>\n",
       "      <td>65.9024</td>\n",
       "      <td>11.3292</td>\n",
       "      <td>37.6912</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.6684</td>\n",
       "      <td>47.7416</td>\n",
       "      <td>2.1936</td>\n",
       "      <td>41.4696</td>\n",
       "      <td>9.7428</td>\n",
       "      <td>33.0792</td>\n",
       "      <td>9.6372</td>\n",
       "      <td>38.3760</td>\n",
       "      <td>8.3124</td>\n",
       "      <td>45.5016</td>\n",
       "      <td>11.7240</td>\n",
       "      <td>63.5288</td>\n",
       "      <td>15.8124</td>\n",
       "      <td>32.6072</td>\n",
       "      <td>18.2160</td>\n",
       "      <td>44.2304</td>\n",
       "      <td>14.0940</td>\n",
       "      <td>53.2208</td>\n",
       "      <td>20.8188</td>\n",
       "      <td>60.2800</td>\n",
       "      <td>40.1676</td>\n",
       "      <td>34.5504</td>\n",
       "      <td>30.3804</td>\n",
       "      <td>53.3064</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.846573</td>\n",
       "      <td>0.420855</td>\n",
       "      <td>4.898197</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.155117</td>\n",
       "      <td>0.685254</td>\n",
       "      <td>0.155117</td>\n",
       "      <td>65.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67066</th>\n",
       "      <td>1</td>\n",
       "      <td>2682.68</td>\n",
       "      <td>91.7532</td>\n",
       "      <td>39.0696</td>\n",
       "      <td>23.9244</td>\n",
       "      <td>60.1184</td>\n",
       "      <td>53.9220</td>\n",
       "      <td>48.9056</td>\n",
       "      <td>53.6376</td>\n",
       "      <td>26.2224</td>\n",
       "      <td>32.9388</td>\n",
       "      <td>25.3240</td>\n",
       "      <td>23.7204</td>\n",
       "      <td>24.2776</td>\n",
       "      <td>42.2424</td>\n",
       "      <td>44.4088</td>\n",
       "      <td>15.6588</td>\n",
       "      <td>18.5792</td>\n",
       "      <td>20.3196</td>\n",
       "      <td>43.0264</td>\n",
       "      <td>14.0760</td>\n",
       "      <td>37.3648</td>\n",
       "      <td>9.5532</td>\n",
       "      <td>36.5432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.6792</td>\n",
       "      <td>18.4888</td>\n",
       "      <td>4.0104</td>\n",
       "      <td>36.1312</td>\n",
       "      <td>13.9896</td>\n",
       "      <td>20.2760</td>\n",
       "      <td>9.3360</td>\n",
       "      <td>33.5616</td>\n",
       "      <td>10.3080</td>\n",
       "      <td>38.5128</td>\n",
       "      <td>9.6936</td>\n",
       "      <td>45.1272</td>\n",
       "      <td>14.6256</td>\n",
       "      <td>23.3424</td>\n",
       "      <td>18.3372</td>\n",
       "      <td>29.7848</td>\n",
       "      <td>17.7864</td>\n",
       "      <td>37.2848</td>\n",
       "      <td>20.6772</td>\n",
       "      <td>50.4344</td>\n",
       "      <td>50.5416</td>\n",
       "      <td>26.2856</td>\n",
       "      <td>23.3520</td>\n",
       "      <td>32.2592</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.618960</td>\n",
       "      <td>0.163513</td>\n",
       "      <td>2.459437</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.024509</td>\n",
       "      <td>0.092673</td>\n",
       "      <td>0.024509</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73982</th>\n",
       "      <td>2</td>\n",
       "      <td>2959.32</td>\n",
       "      <td>91.3824</td>\n",
       "      <td>39.2240</td>\n",
       "      <td>29.4516</td>\n",
       "      <td>51.5744</td>\n",
       "      <td>55.9548</td>\n",
       "      <td>48.0952</td>\n",
       "      <td>62.1876</td>\n",
       "      <td>31.5896</td>\n",
       "      <td>55.9188</td>\n",
       "      <td>26.2144</td>\n",
       "      <td>4.7496</td>\n",
       "      <td>30.3312</td>\n",
       "      <td>33.2496</td>\n",
       "      <td>39.5912</td>\n",
       "      <td>32.1756</td>\n",
       "      <td>27.8720</td>\n",
       "      <td>7.2216</td>\n",
       "      <td>16.0280</td>\n",
       "      <td>6.3564</td>\n",
       "      <td>41.2136</td>\n",
       "      <td>17.8644</td>\n",
       "      <td>37.2440</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.3708</td>\n",
       "      <td>40.8568</td>\n",
       "      <td>2.7444</td>\n",
       "      <td>41.3576</td>\n",
       "      <td>4.2372</td>\n",
       "      <td>22.4352</td>\n",
       "      <td>4.8828</td>\n",
       "      <td>31.6624</td>\n",
       "      <td>3.7728</td>\n",
       "      <td>37.2168</td>\n",
       "      <td>6.7716</td>\n",
       "      <td>43.0744</td>\n",
       "      <td>14.7588</td>\n",
       "      <td>28.0568</td>\n",
       "      <td>11.0328</td>\n",
       "      <td>31.0512</td>\n",
       "      <td>10.0524</td>\n",
       "      <td>37.1088</td>\n",
       "      <td>23.1012</td>\n",
       "      <td>47.5288</td>\n",
       "      <td>54.4308</td>\n",
       "      <td>51.0536</td>\n",
       "      <td>56.1504</td>\n",
       "      <td>27.5168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.428157</td>\n",
       "      <td>1.030677</td>\n",
       "      <td>2.253528</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.467064</td>\n",
       "      <td>0.357090</td>\n",
       "      <td>0.467064</td>\n",
       "      <td>89.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98879</th>\n",
       "      <td>2</td>\n",
       "      <td>3955.20</td>\n",
       "      <td>86.3016</td>\n",
       "      <td>38.5376</td>\n",
       "      <td>51.9936</td>\n",
       "      <td>34.6272</td>\n",
       "      <td>42.8700</td>\n",
       "      <td>39.0688</td>\n",
       "      <td>9.6252</td>\n",
       "      <td>44.9400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.3616</td>\n",
       "      <td>19.2896</td>\n",
       "      <td>14.3040</td>\n",
       "      <td>35.4184</td>\n",
       "      <td>33.3216</td>\n",
       "      <td>25.5128</td>\n",
       "      <td>15.0228</td>\n",
       "      <td>20.9504</td>\n",
       "      <td>5.3808</td>\n",
       "      <td>15.2384</td>\n",
       "      <td>4.4640</td>\n",
       "      <td>34.9560</td>\n",
       "      <td>23.9040</td>\n",
       "      <td>44.0848</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.6152</td>\n",
       "      <td>33.9928</td>\n",
       "      <td>1.8072</td>\n",
       "      <td>36.4120</td>\n",
       "      <td>6.3540</td>\n",
       "      <td>30.7448</td>\n",
       "      <td>8.3532</td>\n",
       "      <td>40.7712</td>\n",
       "      <td>6.1692</td>\n",
       "      <td>38.4368</td>\n",
       "      <td>7.9884</td>\n",
       "      <td>45.2904</td>\n",
       "      <td>13.1844</td>\n",
       "      <td>33.2592</td>\n",
       "      <td>16.2024</td>\n",
       "      <td>47.7312</td>\n",
       "      <td>9.8808</td>\n",
       "      <td>39.5720</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.3288</td>\n",
       "      <td>29.5368</td>\n",
       "      <td>36.1884</td>\n",
       "      <td>14.3280</td>\n",
       "      <td>6.1344</td>\n",
       "      <td>17.9936</td>\n",
       "      <td>7.575389</td>\n",
       "      <td>0.654387</td>\n",
       "      <td>3.684146</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.335298</td>\n",
       "      <td>0.974995</td>\n",
       "      <td>0.335298</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117217</th>\n",
       "      <td>2</td>\n",
       "      <td>4688.72</td>\n",
       "      <td>93.6876</td>\n",
       "      <td>40.1840</td>\n",
       "      <td>15.8316</td>\n",
       "      <td>75.2896</td>\n",
       "      <td>49.1016</td>\n",
       "      <td>59.0504</td>\n",
       "      <td>53.8308</td>\n",
       "      <td>42.0976</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.6968</td>\n",
       "      <td>41.5352</td>\n",
       "      <td>32.8848</td>\n",
       "      <td>51.2432</td>\n",
       "      <td>40.6488</td>\n",
       "      <td>30.0432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.6096</td>\n",
       "      <td>48.7112</td>\n",
       "      <td>10.2204</td>\n",
       "      <td>37.9640</td>\n",
       "      <td>16.8984</td>\n",
       "      <td>61.4096</td>\n",
       "      <td>24.9816</td>\n",
       "      <td>68.9048</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.8364</td>\n",
       "      <td>50.4360</td>\n",
       "      <td>2.1888</td>\n",
       "      <td>40.7768</td>\n",
       "      <td>10.1400</td>\n",
       "      <td>38.4248</td>\n",
       "      <td>10.1352</td>\n",
       "      <td>38.4816</td>\n",
       "      <td>9.4632</td>\n",
       "      <td>47.5456</td>\n",
       "      <td>12.4680</td>\n",
       "      <td>69.9824</td>\n",
       "      <td>12.9000</td>\n",
       "      <td>64.4872</td>\n",
       "      <td>19.1904</td>\n",
       "      <td>48.0384</td>\n",
       "      <td>17.6412</td>\n",
       "      <td>56.5608</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.9984</td>\n",
       "      <td>58.9608</td>\n",
       "      <td>35.8188</td>\n",
       "      <td>46.9456</td>\n",
       "      <td>20.9604</td>\n",
       "      <td>37.5144</td>\n",
       "      <td>16.543375</td>\n",
       "      <td>0.346205</td>\n",
       "      <td>4.442172</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.113531</td>\n",
       "      <td>1.739647</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121026</th>\n",
       "      <td>2</td>\n",
       "      <td>4841.08</td>\n",
       "      <td>91.3128</td>\n",
       "      <td>40.2960</td>\n",
       "      <td>35.7120</td>\n",
       "      <td>58.2232</td>\n",
       "      <td>58.8360</td>\n",
       "      <td>45.7520</td>\n",
       "      <td>20.4252</td>\n",
       "      <td>25.7336</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.7268</td>\n",
       "      <td>14.2688</td>\n",
       "      <td>40.8936</td>\n",
       "      <td>32.0384</td>\n",
       "      <td>59.1588</td>\n",
       "      <td>31.2504</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0180</td>\n",
       "      <td>69.8560</td>\n",
       "      <td>17.9856</td>\n",
       "      <td>32.1200</td>\n",
       "      <td>25.6464</td>\n",
       "      <td>46.3376</td>\n",
       "      <td>44.3664</td>\n",
       "      <td>43.0208</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.8120</td>\n",
       "      <td>46.2784</td>\n",
       "      <td>4.7952</td>\n",
       "      <td>41.0040</td>\n",
       "      <td>18.0672</td>\n",
       "      <td>28.5584</td>\n",
       "      <td>17.8620</td>\n",
       "      <td>33.7064</td>\n",
       "      <td>21.0048</td>\n",
       "      <td>45.7616</td>\n",
       "      <td>19.2600</td>\n",
       "      <td>56.6736</td>\n",
       "      <td>26.3580</td>\n",
       "      <td>45.7536</td>\n",
       "      <td>36.2004</td>\n",
       "      <td>41.4320</td>\n",
       "      <td>26.1072</td>\n",
       "      <td>40.7344</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.7360</td>\n",
       "      <td>54.1264</td>\n",
       "      <td>55.6632</td>\n",
       "      <td>33.1264</td>\n",
       "      <td>32.5908</td>\n",
       "      <td>22.4032</td>\n",
       "      <td>26.564594</td>\n",
       "      <td>0.266267</td>\n",
       "      <td>0.757318</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.023571</td>\n",
       "      <td>0.175864</td>\n",
       "      <td>0.023571</td>\n",
       "      <td>136.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124335</th>\n",
       "      <td>2</td>\n",
       "      <td>4973.44</td>\n",
       "      <td>94.3608</td>\n",
       "      <td>38.6968</td>\n",
       "      <td>42.3276</td>\n",
       "      <td>53.3024</td>\n",
       "      <td>64.3848</td>\n",
       "      <td>44.0480</td>\n",
       "      <td>68.6820</td>\n",
       "      <td>32.1432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.8656</td>\n",
       "      <td>16.2472</td>\n",
       "      <td>53.7192</td>\n",
       "      <td>34.7920</td>\n",
       "      <td>64.3380</td>\n",
       "      <td>24.4680</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.1456</td>\n",
       "      <td>40.3680</td>\n",
       "      <td>-3.9684</td>\n",
       "      <td>23.1144</td>\n",
       "      <td>13.0908</td>\n",
       "      <td>47.9296</td>\n",
       "      <td>4.3320</td>\n",
       "      <td>35.3000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.1456</td>\n",
       "      <td>40.3680</td>\n",
       "      <td>0.2244</td>\n",
       "      <td>37.4368</td>\n",
       "      <td>9.4896</td>\n",
       "      <td>25.3984</td>\n",
       "      <td>-1.2660</td>\n",
       "      <td>26.6296</td>\n",
       "      <td>5.4288</td>\n",
       "      <td>34.2952</td>\n",
       "      <td>6.8448</td>\n",
       "      <td>41.2848</td>\n",
       "      <td>10.4388</td>\n",
       "      <td>43.9848</td>\n",
       "      <td>28.1112</td>\n",
       "      <td>37.3976</td>\n",
       "      <td>6.0432</td>\n",
       "      <td>38.4512</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.0588</td>\n",
       "      <td>48.8016</td>\n",
       "      <td>65.9460</td>\n",
       "      <td>22.1352</td>\n",
       "      <td>37.6608</td>\n",
       "      <td>19.5336</td>\n",
       "      <td>8.153908</td>\n",
       "      <td>0.842822</td>\n",
       "      <td>1.591415</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.331111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>137.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139890</th>\n",
       "      <td>2</td>\n",
       "      <td>5595.64</td>\n",
       "      <td>89.5548</td>\n",
       "      <td>39.0832</td>\n",
       "      <td>43.4292</td>\n",
       "      <td>30.7312</td>\n",
       "      <td>53.9796</td>\n",
       "      <td>49.4448</td>\n",
       "      <td>14.8056</td>\n",
       "      <td>26.2432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.4324</td>\n",
       "      <td>27.3952</td>\n",
       "      <td>45.3240</td>\n",
       "      <td>39.9208</td>\n",
       "      <td>15.8436</td>\n",
       "      <td>54.1128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.7576</td>\n",
       "      <td>41.5592</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.4336</td>\n",
       "      <td>33.0984</td>\n",
       "      <td>31.7184</td>\n",
       "      <td>48.5024</td>\n",
       "      <td>45.1224</td>\n",
       "      <td>62.1672</td>\n",
       "      <td>35.7576</td>\n",
       "      <td>41.5592</td>\n",
       "      <td>0.9948</td>\n",
       "      <td>39.6032</td>\n",
       "      <td>15.9228</td>\n",
       "      <td>29.7464</td>\n",
       "      <td>15.3060</td>\n",
       "      <td>27.5984</td>\n",
       "      <td>18.4644</td>\n",
       "      <td>39.8696</td>\n",
       "      <td>14.7072</td>\n",
       "      <td>54.8600</td>\n",
       "      <td>16.7748</td>\n",
       "      <td>50.9856</td>\n",
       "      <td>23.8248</td>\n",
       "      <td>47.1288</td>\n",
       "      <td>19.5660</td>\n",
       "      <td>43.4496</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.9496</td>\n",
       "      <td>41.5544</td>\n",
       "      <td>36.3408</td>\n",
       "      <td>31.1816</td>\n",
       "      <td>46.1400</td>\n",
       "      <td>53.8056</td>\n",
       "      <td>35.791578</td>\n",
       "      <td>0.203488</td>\n",
       "      <td>10.393974</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.018879</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>147.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Period  Time [s]  Home_11_x  Home_11_y  Home_1_x  Home_1_y  Home_2_x  \\\n",
       "4418         1    176.76    89.2344    43.1432   12.7356   72.4264   41.0100   \n",
       "12201        1    488.08    89.4348    42.1136   14.8872   60.0056   38.8380   \n",
       "16483        1    659.36   101.1312    41.6400   66.6408   61.2456   65.7336   \n",
       "27344        1   1093.80    87.1824    41.7352   18.1668   64.4352   39.3312   \n",
       "29753        1   1190.16    92.1264    38.9536   19.3500   54.7016   49.6296   \n",
       "56078        1   2243.16    86.8812    44.1416   13.6692   68.6040   42.4776   \n",
       "67066        1   2682.68    91.7532    39.0696   23.9244   60.1184   53.9220   \n",
       "73982        2   2959.32    91.3824    39.2240   29.4516   51.5744   55.9548   \n",
       "98879        2   3955.20    86.3016    38.5376   51.9936   34.6272   42.8700   \n",
       "117217       2   4688.72    93.6876    40.1840   15.8316   75.2896   49.1016   \n",
       "121026       2   4841.08    91.3128    40.2960   35.7120   58.2232   58.8360   \n",
       "124335       2   4973.44    94.3608    38.6968   42.3276   53.3024   64.3848   \n",
       "139890       2   5595.64    89.5548    39.0832   43.4292   30.7312   53.9796   \n",
       "\n",
       "        Home_2_y  Home_3_x  Home_3_y  Home_4_x  Home_4_y  Home_5_x  Home_5_y  \\\n",
       "4418     58.8976   48.4584   40.9808   29.9100   31.9096   15.5784   61.7808   \n",
       "12201    58.7016   52.3488   39.1992   28.7604   28.3064    8.0796   48.0784   \n",
       "16483    47.3912   74.8644   34.2560   75.7188   26.3896   27.5664   56.9176   \n",
       "27344    50.3256   10.2048   32.7296   57.2208   41.7944   44.1408   34.9896   \n",
       "29753    51.9928   55.6032   36.8200   24.5328   23.6600   15.0516   38.2616   \n",
       "56078    52.8176   50.6280   39.8784   34.0152   33.7248   12.5904   47.0608   \n",
       "67066    48.9056   53.6376   26.2224   32.9388   25.3240   23.7204   24.2776   \n",
       "73982    48.0952   62.1876   31.5896   55.9188   26.2144    4.7496   30.3312   \n",
       "98879    39.0688    9.6252   44.9400       NaN       NaN   32.3616   19.2896   \n",
       "117217   59.0504   53.8308   42.0976       NaN       NaN   13.6968   41.5352   \n",
       "121026   45.7520   20.4252   25.7336       NaN       NaN   31.7268   14.2688   \n",
       "124335   44.0480   68.6820   32.1432       NaN       NaN   32.8656   16.2472   \n",
       "139890   49.4448   14.8056   26.2432       NaN       NaN   17.4324   27.3952   \n",
       "\n",
       "        Home_6_x  Home_6_y  Home_7_x  Home_7_y  Home_8_x  Home_8_y  Home_9_x  \\\n",
       "4418     28.9692   45.8976   10.8684   40.0832   15.0732   37.1216    5.1240   \n",
       "12201    37.3908   44.5304    8.0688   48.1480    9.9564   37.8424   16.4064   \n",
       "16483    58.0536   45.8032   62.2416   39.9184   55.2300   27.8584   17.5884   \n",
       "27344    17.1288   39.9992    8.9988   30.4144   14.9388   17.1008   26.0916   \n",
       "29753    42.5604   36.0304   13.9284   28.5000   12.5928   14.6424   28.0356   \n",
       "56078    35.8164   47.9080   12.4176   31.7128   20.8920   56.4576   28.3920   \n",
       "67066    42.2424   44.4088   15.6588   18.5792   20.3196   43.0264   14.0760   \n",
       "73982    33.2496   39.5912   32.1756   27.8720    7.2216   16.0280    6.3564   \n",
       "98879    14.3040   35.4184   33.3216   25.5128   15.0228   20.9504    5.3808   \n",
       "117217   32.8848   51.2432   40.6488   30.0432       NaN       NaN   12.6096   \n",
       "121026   40.8936   32.0384   59.1588   31.2504       NaN       NaN   24.0180   \n",
       "124335   53.7192   34.7920   64.3380   24.4680       NaN       NaN    8.1456   \n",
       "139890   45.3240   39.9208   15.8436   54.1128       NaN       NaN   35.7576   \n",
       "\n",
       "        Home_9_y  Home_10_x  Home_10_y  Home_12_x  Home_12_y  Home_13_x  \\\n",
       "4418     61.5696     6.8004    41.7656        NaN        NaN        NaN   \n",
       "12201    17.3600     6.3096    35.6648        NaN        NaN        NaN   \n",
       "16483    39.0392    12.9468    53.2672        NaN        NaN        NaN   \n",
       "27344    67.1160     8.3376    38.5528        NaN        NaN        NaN   \n",
       "29753    31.7720    10.1076    41.2696        NaN        NaN        NaN   \n",
       "56078    65.9024    11.3292    37.6912        NaN        NaN        NaN   \n",
       "67066    37.3648     9.5532    36.5432        NaN        NaN        NaN   \n",
       "73982    41.2136    17.8644    37.2440        NaN        NaN        NaN   \n",
       "98879    15.2384     4.4640    34.9560    23.9040    44.0848        NaN   \n",
       "117217   48.7112    10.2204    37.9640    16.8984    61.4096    24.9816   \n",
       "121026   69.8560    17.9856    32.1200    25.6464    46.3376    44.3664   \n",
       "124335   40.3680    -3.9684    23.1144    13.0908    47.9296     4.3320   \n",
       "139890   41.5592        NaN        NaN    29.4336    33.0984    31.7184   \n",
       "\n",
       "        Home_13_y  Home_14_x  Home_14_y   ball_x   ball_y  Away_25_x  \\\n",
       "4418          NaN        NaN        NaN  15.2712  61.7568     1.2396   \n",
       "12201         NaN        NaN        NaN   6.5580  36.5160     2.3316   \n",
       "16483         NaN        NaN        NaN  13.0092  53.2904     4.1676   \n",
       "27344         NaN        NaN        NaN  10.3872  33.1424     3.8220   \n",
       "29753         NaN        NaN        NaN  24.6168  23.6496     3.0540   \n",
       "56078         NaN        NaN        NaN  12.6684  47.7416     2.1936   \n",
       "67066         NaN        NaN        NaN  15.6792  18.4888     4.0104   \n",
       "73982         NaN        NaN        NaN   6.3708  40.8568     2.7444   \n",
       "98879         NaN        NaN        NaN   4.6152  33.9928     1.8072   \n",
       "117217    68.9048        NaN        NaN  12.8364  50.4360     2.1888   \n",
       "121026    43.0208        NaN        NaN  25.8120  46.2784     4.7952   \n",
       "124335    35.3000        NaN        NaN   8.1456  40.3680     0.2244   \n",
       "139890    48.5024    45.1224    62.1672  35.7576  41.5592     0.9948   \n",
       "\n",
       "        Away_25_y  Away_15_x  Away_15_y  Away_16_x  Away_16_y  Away_17_x  \\\n",
       "4418      43.2752     6.7500    35.9824     5.9232    41.4272     5.3892   \n",
       "12201     40.3192     8.3508    33.7896     6.5988    35.7232     6.4284   \n",
       "16483     42.8440    14.7300    37.9832    11.2320    43.6728    11.4984   \n",
       "27344     38.0144    24.4308    60.7608     9.9252    34.1216     8.0184   \n",
       "29753     37.4104    12.6384    19.9912    13.5480    29.2376    12.0768   \n",
       "56078     41.4696     9.7428    33.0792     9.6372    38.3760     8.3124   \n",
       "67066     36.1312    13.9896    20.2760     9.3360    33.5616    10.3080   \n",
       "73982     41.3576     4.2372    22.4352     4.8828    31.6624     3.7728   \n",
       "98879     36.4120     6.3540    30.7448     8.3532    40.7712     6.1692   \n",
       "117217    40.7768    10.1400    38.4248    10.1352    38.4816     9.4632   \n",
       "121026    41.0040    18.0672    28.5584    17.8620    33.7064    21.0048   \n",
       "124335    37.4368     9.4896    25.3984    -1.2660    26.6296     5.4288   \n",
       "139890    39.6032    15.9228    29.7464    15.3060    27.5984    18.4644   \n",
       "\n",
       "        Away_17_y  Away_18_x  Away_18_y  Away_19_x  Away_19_y  Away_20_x  \\\n",
       "4418      49.6744     6.8652    60.6816    11.5932    38.6544     9.8928   \n",
       "12201     46.4688    10.9176    57.9616    13.4808    34.9488    12.9936   \n",
       "16483     51.4880    36.6696    58.9584    63.9660    31.2696    20.4060   \n",
       "27344     39.2304    13.2540    51.6048    14.8188    40.5552    18.6240   \n",
       "29753     38.3864    11.8140    41.3768    18.0384    22.6400    20.9016   \n",
       "56078     45.5016    11.7240    63.5288    15.8124    32.6072    18.2160   \n",
       "67066     38.5128     9.6936    45.1272    14.6256    23.3424    18.3372   \n",
       "73982     37.2168     6.7716    43.0744    14.7588    28.0568    11.0328   \n",
       "98879     38.4368     7.9884    45.2904    13.1844    33.2592    16.2024   \n",
       "117217    47.5456    12.4680    69.9824    12.9000    64.4872    19.1904   \n",
       "121026    45.7616    19.2600    56.6736    26.3580    45.7536    36.2004   \n",
       "124335    34.2952     6.8448    41.2848    10.4388    43.9848    28.1112   \n",
       "139890    39.8696    14.7072    54.8600    16.7748    50.9856    23.8248   \n",
       "\n",
       "        Away_20_y  Away_21_x  Away_21_y  Away_22_x  Away_22_y  Away_23_x  \\\n",
       "4418      53.6088    11.0784    44.4784    18.1284    60.6552    37.4964   \n",
       "12201     48.7032    15.0960    40.7152    19.1748    51.6248    38.5152   \n",
       "16483     46.3936    35.5920    38.3232    73.2060    64.7120    77.6340   \n",
       "27344     58.1008    12.8640    43.2800    28.3416    41.1200    21.6264   \n",
       "29753     36.9336    18.8028    27.2640    22.4664    54.2024    47.0148   \n",
       "56078     44.2304    14.0940    53.2208    20.8188    60.2800    40.1676   \n",
       "67066     29.7848    17.7864    37.2848    20.6772    50.4344    50.5416   \n",
       "73982     31.0512    10.0524    37.1088    23.1012    47.5288    54.4308   \n",
       "98879     47.7312     9.8808    39.5720        NaN        NaN    21.3288   \n",
       "117217    48.0384    17.6412    56.5608        NaN        NaN    48.9984   \n",
       "121026    41.4320    26.1072    40.7344        NaN        NaN    47.7360   \n",
       "124335    37.3976     6.0432    38.4512        NaN        NaN    54.0588   \n",
       "139890    47.1288    19.5660    43.4496        NaN        NaN    23.9496   \n",
       "\n",
       "        Away_23_y  Away_24_x  Away_24_y  Away_26_x  Away_26_y   distance  \\\n",
       "4418      57.2328    32.2008    35.1632        NaN        NaN  26.581345   \n",
       "12201     58.7088    28.0848    29.6264        NaN        NaN   7.426010   \n",
       "16483     44.1040    75.4080    55.1432        NaN        NaN  18.597688   \n",
       "27344     44.7488    11.0736    29.7216        NaN        NaN  12.446710   \n",
       "29753     54.0720    48.4500    38.4328        NaN        NaN  29.552029   \n",
       "56078     34.5504    30.3804    53.3064        NaN        NaN  14.846573   \n",
       "67066     26.2856    23.3520    32.2592        NaN        NaN  26.618960   \n",
       "73982     51.0536    56.1504    27.5168        NaN        NaN   6.428157   \n",
       "98879     29.5368    36.1884    14.3280     6.1344    17.9936   7.575389   \n",
       "117217    58.9608    35.8188    46.9456    20.9604    37.5144  16.543375   \n",
       "121026    54.1264    55.6632    33.1264    32.5908    22.4032  26.564594   \n",
       "124335    48.8016    65.9460    22.1352    37.6608    19.5336   8.153908   \n",
       "139890    41.5544    36.3408    31.1816    46.1400    53.8056  35.791578   \n",
       "\n",
       "           angle  distance_nearest_defender  number_blocking_defenders  \\\n",
       "4418    0.159782                   3.062207                        2.0   \n",
       "12201   0.854438                   0.793849                        1.0   \n",
       "16483   0.278761                   2.351842                        2.0   \n",
       "27344   0.492677                   1.082717                        1.0   \n",
       "29753   0.206422                   6.655422                        1.0   \n",
       "56078   0.420855                   4.898197                        1.0   \n",
       "67066   0.163513                   2.459437                        1.0   \n",
       "73982   1.030677                   2.253528                        1.0   \n",
       "98879   0.654387                   3.684146                        1.0   \n",
       "117217  0.346205                   4.442172                        1.0   \n",
       "121026  0.266267                   0.757318                        1.0   \n",
       "124335  0.842822                   1.591415                        1.0   \n",
       "139890  0.203488                  10.393974                        2.0   \n",
       "\n",
       "              xG  distance_nearest_attacker  non_shot_xG  Home Possession  \\\n",
       "4418    0.019134                   0.308136     0.019134              7.0   \n",
       "12201   0.330727                   0.886704     0.330727             16.0   \n",
       "16483   0.048740                   0.066573     0.048740             21.0   \n",
       "27344   0.142581                   0.451302     0.142581             33.0   \n",
       "29753   0.031972                   0.084641     0.031972             35.0   \n",
       "56078   0.155117                   0.685254     0.155117             65.0   \n",
       "67066   0.024509                   0.092673     0.024509             79.0   \n",
       "73982   0.467064                   0.357090     0.467064             89.0   \n",
       "98879   0.335298                   0.974995     0.335298            112.0   \n",
       "117217  0.113531                   1.739647          NaN            131.0   \n",
       "121026  0.023571                   0.175864     0.023571            136.0   \n",
       "124335  0.331111                   0.000000          NaN            137.0   \n",
       "139890  0.018879                   0.000000          NaN            147.0   \n",
       "\n",
       "        Shot Indicator  \n",
       "4418               1.0  \n",
       "12201              1.0  \n",
       "16483              1.0  \n",
       "27344              1.0  \n",
       "29753              1.0  \n",
       "56078              1.0  \n",
       "67066              1.0  \n",
       "73982              1.0  \n",
       "98879              1.0  \n",
       "117217             1.0  \n",
       "121026             1.0  \n",
       "124335             1.0  \n",
       "139890             1.0  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create shot indicator and merge to tracking data\n",
    "home_shots['Shot Indicator'] = 1\n",
    "home_tracking_frames = pd.merge(home_tracking_frames, home_shots[['Start Time [s]', 'Shot Indicator']], how='left', left_on='Time [s]', right_on='Start Time [s]')\n",
    "home_tracking_frames.drop(['Start Time [s]'], axis=1, inplace=True)\n",
    "home_tracking_frames[home_tracking_frames['Shot Indicator'] == 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T15:10:50.923407Z",
     "start_time": "2021-01-03T15:10:50.576607Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Period</th>\n",
       "      <th>Time [s]</th>\n",
       "      <th>Home_11_x</th>\n",
       "      <th>Home_11_y</th>\n",
       "      <th>Home_1_x</th>\n",
       "      <th>Home_1_y</th>\n",
       "      <th>Home_2_x</th>\n",
       "      <th>Home_2_y</th>\n",
       "      <th>Home_3_x</th>\n",
       "      <th>Home_3_y</th>\n",
       "      <th>Home_4_x</th>\n",
       "      <th>Home_4_y</th>\n",
       "      <th>Home_5_x</th>\n",
       "      <th>Home_5_y</th>\n",
       "      <th>Home_6_x</th>\n",
       "      <th>Home_6_y</th>\n",
       "      <th>Home_7_x</th>\n",
       "      <th>Home_7_y</th>\n",
       "      <th>Home_8_x</th>\n",
       "      <th>Home_8_y</th>\n",
       "      <th>Home_9_x</th>\n",
       "      <th>Home_9_y</th>\n",
       "      <th>Home_10_x</th>\n",
       "      <th>Home_10_y</th>\n",
       "      <th>Home_12_x</th>\n",
       "      <th>Home_12_y</th>\n",
       "      <th>Home_13_x</th>\n",
       "      <th>Home_13_y</th>\n",
       "      <th>Home_14_x</th>\n",
       "      <th>Home_14_y</th>\n",
       "      <th>ball_x</th>\n",
       "      <th>ball_y</th>\n",
       "      <th>Away_25_x</th>\n",
       "      <th>Away_25_y</th>\n",
       "      <th>Away_15_x</th>\n",
       "      <th>Away_15_y</th>\n",
       "      <th>Away_16_x</th>\n",
       "      <th>Away_16_y</th>\n",
       "      <th>Away_17_x</th>\n",
       "      <th>Away_17_y</th>\n",
       "      <th>Away_18_x</th>\n",
       "      <th>Away_18_y</th>\n",
       "      <th>Away_19_x</th>\n",
       "      <th>Away_19_y</th>\n",
       "      <th>Away_20_x</th>\n",
       "      <th>Away_20_y</th>\n",
       "      <th>Away_21_x</th>\n",
       "      <th>Away_21_y</th>\n",
       "      <th>Away_22_x</th>\n",
       "      <th>Away_22_y</th>\n",
       "      <th>Away_23_x</th>\n",
       "      <th>Away_23_y</th>\n",
       "      <th>Away_24_x</th>\n",
       "      <th>Away_24_y</th>\n",
       "      <th>Away_26_x</th>\n",
       "      <th>Away_26_y</th>\n",
       "      <th>distance</th>\n",
       "      <th>angle</th>\n",
       "      <th>distance_nearest_defender</th>\n",
       "      <th>number_blocking_defenders</th>\n",
       "      <th>xG</th>\n",
       "      <th>distance_nearest_attacker</th>\n",
       "      <th>non_shot_xG</th>\n",
       "      <th>Away Possession</th>\n",
       "      <th>Shot Indicator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18514</th>\n",
       "      <td>1</td>\n",
       "      <td>740.60</td>\n",
       "      <td>115.7292</td>\n",
       "      <td>41.3944</td>\n",
       "      <td>101.7096</td>\n",
       "      <td>51.4880</td>\n",
       "      <td>102.6804</td>\n",
       "      <td>45.6096</td>\n",
       "      <td>104.2860</td>\n",
       "      <td>34.5560</td>\n",
       "      <td>101.4156</td>\n",
       "      <td>18.2360</td>\n",
       "      <td>94.1424</td>\n",
       "      <td>44.6888</td>\n",
       "      <td>94.0284</td>\n",
       "      <td>40.5592</td>\n",
       "      <td>91.1124</td>\n",
       "      <td>29.8064</td>\n",
       "      <td>87.3444</td>\n",
       "      <td>7.3488</td>\n",
       "      <td>80.8764</td>\n",
       "      <td>51.5000</td>\n",
       "      <td>69.0252</td>\n",
       "      <td>31.6600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95.3916</td>\n",
       "      <td>52.0408</td>\n",
       "      <td>26.5776</td>\n",
       "      <td>40.1832</td>\n",
       "      <td>73.7928</td>\n",
       "      <td>13.0480</td>\n",
       "      <td>63.0900</td>\n",
       "      <td>30.1120</td>\n",
       "      <td>65.1696</td>\n",
       "      <td>37.2776</td>\n",
       "      <td>77.9616</td>\n",
       "      <td>57.6632</td>\n",
       "      <td>95.6904</td>\n",
       "      <td>20.1792</td>\n",
       "      <td>97.3188</td>\n",
       "      <td>41.2296</td>\n",
       "      <td>76.5504</td>\n",
       "      <td>35.1056</td>\n",
       "      <td>95.5584</td>\n",
       "      <td>52.0760</td>\n",
       "      <td>106.2144</td>\n",
       "      <td>38.1336</td>\n",
       "      <td>103.0992</td>\n",
       "      <td>49.0856</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.396245</td>\n",
       "      <td>0.239509</td>\n",
       "      <td>6.342138</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.055348</td>\n",
       "      <td>0.170474</td>\n",
       "      <td>0.055348</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53048</th>\n",
       "      <td>1</td>\n",
       "      <td>2121.96</td>\n",
       "      <td>116.9964</td>\n",
       "      <td>39.2760</td>\n",
       "      <td>109.1556</td>\n",
       "      <td>42.4840</td>\n",
       "      <td>109.7688</td>\n",
       "      <td>31.2960</td>\n",
       "      <td>111.4464</td>\n",
       "      <td>30.9216</td>\n",
       "      <td>106.7136</td>\n",
       "      <td>21.7816</td>\n",
       "      <td>99.8724</td>\n",
       "      <td>30.6280</td>\n",
       "      <td>97.8324</td>\n",
       "      <td>41.4744</td>\n",
       "      <td>99.0972</td>\n",
       "      <td>22.0168</td>\n",
       "      <td>88.8564</td>\n",
       "      <td>58.6744</td>\n",
       "      <td>70.8384</td>\n",
       "      <td>29.1272</td>\n",
       "      <td>69.0648</td>\n",
       "      <td>40.7312</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.4768</td>\n",
       "      <td>43.5784</td>\n",
       "      <td>24.3168</td>\n",
       "      <td>42.4752</td>\n",
       "      <td>80.6364</td>\n",
       "      <td>13.6480</td>\n",
       "      <td>67.1796</td>\n",
       "      <td>27.2304</td>\n",
       "      <td>63.7668</td>\n",
       "      <td>44.9872</td>\n",
       "      <td>64.6680</td>\n",
       "      <td>61.3024</td>\n",
       "      <td>101.6724</td>\n",
       "      <td>21.8384</td>\n",
       "      <td>85.1256</td>\n",
       "      <td>34.1976</td>\n",
       "      <td>71.6448</td>\n",
       "      <td>45.7160</td>\n",
       "      <td>94.4760</td>\n",
       "      <td>52.7136</td>\n",
       "      <td>107.8152</td>\n",
       "      <td>30.7568</td>\n",
       "      <td>110.5464</td>\n",
       "      <td>43.5840</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.173312</td>\n",
       "      <td>0.658078</td>\n",
       "      <td>1.715599</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.293708</td>\n",
       "      <td>0.069825</td>\n",
       "      <td>0.293708</td>\n",
       "      <td>62.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63361</th>\n",
       "      <td>1</td>\n",
       "      <td>2534.48</td>\n",
       "      <td>119.6184</td>\n",
       "      <td>37.8928</td>\n",
       "      <td>108.7056</td>\n",
       "      <td>49.2408</td>\n",
       "      <td>110.2896</td>\n",
       "      <td>58.3304</td>\n",
       "      <td>111.5364</td>\n",
       "      <td>41.9384</td>\n",
       "      <td>113.8632</td>\n",
       "      <td>34.4856</td>\n",
       "      <td>107.9868</td>\n",
       "      <td>40.0192</td>\n",
       "      <td>109.4280</td>\n",
       "      <td>45.0960</td>\n",
       "      <td>111.4728</td>\n",
       "      <td>40.4592</td>\n",
       "      <td>101.0352</td>\n",
       "      <td>58.7056</td>\n",
       "      <td>71.1408</td>\n",
       "      <td>24.7664</td>\n",
       "      <td>59.8560</td>\n",
       "      <td>40.1104</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>111.8136</td>\n",
       "      <td>40.6848</td>\n",
       "      <td>12.5148</td>\n",
       "      <td>43.7640</td>\n",
       "      <td>68.9568</td>\n",
       "      <td>22.0584</td>\n",
       "      <td>57.3408</td>\n",
       "      <td>30.7000</td>\n",
       "      <td>58.9320</td>\n",
       "      <td>41.1952</td>\n",
       "      <td>62.4420</td>\n",
       "      <td>55.6864</td>\n",
       "      <td>109.1964</td>\n",
       "      <td>31.5000</td>\n",
       "      <td>91.6428</td>\n",
       "      <td>37.8504</td>\n",
       "      <td>81.4476</td>\n",
       "      <td>47.8312</td>\n",
       "      <td>111.2712</td>\n",
       "      <td>63.6040</td>\n",
       "      <td>111.7860</td>\n",
       "      <td>40.5560</td>\n",
       "      <td>102.4452</td>\n",
       "      <td>43.8400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.214992</td>\n",
       "      <td>0.836034</td>\n",
       "      <td>0.408705</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.295756</td>\n",
       "      <td>0.131724</td>\n",
       "      <td>0.295756</td>\n",
       "      <td>71.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64771</th>\n",
       "      <td>1</td>\n",
       "      <td>2590.88</td>\n",
       "      <td>118.6536</td>\n",
       "      <td>39.5288</td>\n",
       "      <td>108.0276</td>\n",
       "      <td>50.3304</td>\n",
       "      <td>108.7104</td>\n",
       "      <td>41.7848</td>\n",
       "      <td>105.5148</td>\n",
       "      <td>38.0216</td>\n",
       "      <td>108.5532</td>\n",
       "      <td>37.5944</td>\n",
       "      <td>97.7232</td>\n",
       "      <td>43.4792</td>\n",
       "      <td>94.8216</td>\n",
       "      <td>37.7832</td>\n",
       "      <td>98.7408</td>\n",
       "      <td>33.5928</td>\n",
       "      <td>91.9584</td>\n",
       "      <td>51.7032</td>\n",
       "      <td>84.5772</td>\n",
       "      <td>52.1408</td>\n",
       "      <td>64.2132</td>\n",
       "      <td>35.7504</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92.3496</td>\n",
       "      <td>35.6200</td>\n",
       "      <td>20.9700</td>\n",
       "      <td>41.0080</td>\n",
       "      <td>82.0140</td>\n",
       "      <td>16.4920</td>\n",
       "      <td>62.3688</td>\n",
       "      <td>29.9392</td>\n",
       "      <td>60.7644</td>\n",
       "      <td>42.1768</td>\n",
       "      <td>110.3040</td>\n",
       "      <td>39.4992</td>\n",
       "      <td>110.2524</td>\n",
       "      <td>34.3472</td>\n",
       "      <td>92.3712</td>\n",
       "      <td>35.6464</td>\n",
       "      <td>77.7204</td>\n",
       "      <td>35.6136</td>\n",
       "      <td>89.3280</td>\n",
       "      <td>49.4040</td>\n",
       "      <td>77.7000</td>\n",
       "      <td>23.0112</td>\n",
       "      <td>102.3516</td>\n",
       "      <td>65.0192</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.995161</td>\n",
       "      <td>0.256770</td>\n",
       "      <td>3.284847</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.037192</td>\n",
       "      <td>0.034110</td>\n",
       "      <td>0.037192</td>\n",
       "      <td>73.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69886</th>\n",
       "      <td>2</td>\n",
       "      <td>2795.48</td>\n",
       "      <td>118.2540</td>\n",
       "      <td>41.0528</td>\n",
       "      <td>107.0988</td>\n",
       "      <td>61.2120</td>\n",
       "      <td>110.2344</td>\n",
       "      <td>52.8184</td>\n",
       "      <td>107.8584</td>\n",
       "      <td>39.8696</td>\n",
       "      <td>108.8448</td>\n",
       "      <td>35.5288</td>\n",
       "      <td>98.3520</td>\n",
       "      <td>64.0488</td>\n",
       "      <td>104.3760</td>\n",
       "      <td>53.7040</td>\n",
       "      <td>104.2800</td>\n",
       "      <td>46.5400</td>\n",
       "      <td>99.2052</td>\n",
       "      <td>45.7536</td>\n",
       "      <td>75.6612</td>\n",
       "      <td>56.5632</td>\n",
       "      <td>70.0488</td>\n",
       "      <td>39.9408</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94.4976</td>\n",
       "      <td>52.8360</td>\n",
       "      <td>25.4388</td>\n",
       "      <td>40.2296</td>\n",
       "      <td>83.4084</td>\n",
       "      <td>24.3944</td>\n",
       "      <td>67.3500</td>\n",
       "      <td>39.6136</td>\n",
       "      <td>71.5368</td>\n",
       "      <td>56.0128</td>\n",
       "      <td>103.2228</td>\n",
       "      <td>68.9864</td>\n",
       "      <td>100.5588</td>\n",
       "      <td>26.1696</td>\n",
       "      <td>85.2900</td>\n",
       "      <td>42.3160</td>\n",
       "      <td>94.4988</td>\n",
       "      <td>52.7880</td>\n",
       "      <td>110.2020</td>\n",
       "      <td>66.6744</td>\n",
       "      <td>109.1784</td>\n",
       "      <td>48.0176</td>\n",
       "      <td>108.2184</td>\n",
       "      <td>34.7400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.550574</td>\n",
       "      <td>0.228615</td>\n",
       "      <td>8.504228</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.045788</td>\n",
       "      <td>0.048015</td>\n",
       "      <td>0.045788</td>\n",
       "      <td>77.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86190</th>\n",
       "      <td>2</td>\n",
       "      <td>3447.64</td>\n",
       "      <td>118.9272</td>\n",
       "      <td>41.1416</td>\n",
       "      <td>110.2620</td>\n",
       "      <td>44.1624</td>\n",
       "      <td>109.1400</td>\n",
       "      <td>34.3856</td>\n",
       "      <td>109.7580</td>\n",
       "      <td>36.4784</td>\n",
       "      <td>112.7628</td>\n",
       "      <td>38.5080</td>\n",
       "      <td>106.6056</td>\n",
       "      <td>46.0120</td>\n",
       "      <td>107.9280</td>\n",
       "      <td>41.0328</td>\n",
       "      <td>111.1560</td>\n",
       "      <td>47.7968</td>\n",
       "      <td>114.7332</td>\n",
       "      <td>64.3152</td>\n",
       "      <td>100.0380</td>\n",
       "      <td>39.2408</td>\n",
       "      <td>108.9084</td>\n",
       "      <td>56.8624</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.6596</td>\n",
       "      <td>45.8616</td>\n",
       "      <td>40.8108</td>\n",
       "      <td>40.6200</td>\n",
       "      <td>93.0864</td>\n",
       "      <td>28.1600</td>\n",
       "      <td>108.6024</td>\n",
       "      <td>31.7000</td>\n",
       "      <td>110.1012</td>\n",
       "      <td>34.5176</td>\n",
       "      <td>83.8056</td>\n",
       "      <td>52.5504</td>\n",
       "      <td>96.7020</td>\n",
       "      <td>43.5840</td>\n",
       "      <td>101.4264</td>\n",
       "      <td>66.4248</td>\n",
       "      <td>108.0024</td>\n",
       "      <td>51.4328</td>\n",
       "      <td>115.1136</td>\n",
       "      <td>71.4016</td>\n",
       "      <td>104.9304</td>\n",
       "      <td>43.2512</td>\n",
       "      <td>112.8504</td>\n",
       "      <td>40.5792</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.209142</td>\n",
       "      <td>0.343913</td>\n",
       "      <td>5.947902</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125456</td>\n",
       "      <td>4.566187</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90164</th>\n",
       "      <td>2</td>\n",
       "      <td>3606.60</td>\n",
       "      <td>117.8256</td>\n",
       "      <td>36.0600</td>\n",
       "      <td>97.8828</td>\n",
       "      <td>47.4856</td>\n",
       "      <td>114.2388</td>\n",
       "      <td>32.6272</td>\n",
       "      <td>106.7592</td>\n",
       "      <td>22.9080</td>\n",
       "      <td>109.8708</td>\n",
       "      <td>27.5520</td>\n",
       "      <td>110.4948</td>\n",
       "      <td>43.1968</td>\n",
       "      <td>109.3404</td>\n",
       "      <td>33.9176</td>\n",
       "      <td>102.6252</td>\n",
       "      <td>29.9360</td>\n",
       "      <td>73.8012</td>\n",
       "      <td>21.6016</td>\n",
       "      <td>103.5780</td>\n",
       "      <td>38.3576</td>\n",
       "      <td>55.3764</td>\n",
       "      <td>26.6400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112.8816</td>\n",
       "      <td>26.5600</td>\n",
       "      <td>17.4936</td>\n",
       "      <td>39.6232</td>\n",
       "      <td>71.8992</td>\n",
       "      <td>17.9728</td>\n",
       "      <td>59.6748</td>\n",
       "      <td>32.5728</td>\n",
       "      <td>56.8284</td>\n",
       "      <td>48.8296</td>\n",
       "      <td>76.0368</td>\n",
       "      <td>58.1536</td>\n",
       "      <td>112.9464</td>\n",
       "      <td>26.5808</td>\n",
       "      <td>99.5568</td>\n",
       "      <td>49.4936</td>\n",
       "      <td>76.7976</td>\n",
       "      <td>42.1960</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.9160</td>\n",
       "      <td>49.6400</td>\n",
       "      <td>99.9048</td>\n",
       "      <td>24.9312</td>\n",
       "      <td>113.5740</td>\n",
       "      <td>32.4112</td>\n",
       "      <td>15.208722</td>\n",
       "      <td>0.234547</td>\n",
       "      <td>3.170013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.127539</td>\n",
       "      <td>0.068056</td>\n",
       "      <td>0.127539</td>\n",
       "      <td>91.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111757</th>\n",
       "      <td>2</td>\n",
       "      <td>4470.32</td>\n",
       "      <td>119.2752</td>\n",
       "      <td>39.9336</td>\n",
       "      <td>104.9100</td>\n",
       "      <td>62.4872</td>\n",
       "      <td>117.1308</td>\n",
       "      <td>53.5912</td>\n",
       "      <td>117.5400</td>\n",
       "      <td>42.9600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.6228</td>\n",
       "      <td>35.5400</td>\n",
       "      <td>111.5436</td>\n",
       "      <td>42.3448</td>\n",
       "      <td>113.7768</td>\n",
       "      <td>36.1216</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95.1612</td>\n",
       "      <td>52.6920</td>\n",
       "      <td>72.2556</td>\n",
       "      <td>34.9448</td>\n",
       "      <td>111.0648</td>\n",
       "      <td>51.5024</td>\n",
       "      <td>114.0744</td>\n",
       "      <td>45.2552</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109.6128</td>\n",
       "      <td>31.2592</td>\n",
       "      <td>29.0244</td>\n",
       "      <td>39.4032</td>\n",
       "      <td>86.0148</td>\n",
       "      <td>22.4856</td>\n",
       "      <td>71.0316</td>\n",
       "      <td>31.9936</td>\n",
       "      <td>66.1524</td>\n",
       "      <td>44.6920</td>\n",
       "      <td>121.0188</td>\n",
       "      <td>54.3520</td>\n",
       "      <td>99.4464</td>\n",
       "      <td>62.9528</td>\n",
       "      <td>104.7312</td>\n",
       "      <td>45.9600</td>\n",
       "      <td>87.6168</td>\n",
       "      <td>43.6288</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>117.8844</td>\n",
       "      <td>47.9832</td>\n",
       "      <td>109.5936</td>\n",
       "      <td>31.1280</td>\n",
       "      <td>117.1932</td>\n",
       "      <td>37.8976</td>\n",
       "      <td>13.575548</td>\n",
       "      <td>0.418328</td>\n",
       "      <td>4.393785</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.124502</td>\n",
       "      <td>0.132597</td>\n",
       "      <td>0.124502</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115008</th>\n",
       "      <td>2</td>\n",
       "      <td>4600.36</td>\n",
       "      <td>119.0316</td>\n",
       "      <td>41.1160</td>\n",
       "      <td>101.5236</td>\n",
       "      <td>50.4768</td>\n",
       "      <td>101.8308</td>\n",
       "      <td>47.2080</td>\n",
       "      <td>102.2148</td>\n",
       "      <td>30.2440</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.2728</td>\n",
       "      <td>31.6992</td>\n",
       "      <td>97.7556</td>\n",
       "      <td>45.3744</td>\n",
       "      <td>99.3024</td>\n",
       "      <td>32.6424</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95.7048</td>\n",
       "      <td>36.5312</td>\n",
       "      <td>101.2224</td>\n",
       "      <td>25.9176</td>\n",
       "      <td>101.4912</td>\n",
       "      <td>48.9832</td>\n",
       "      <td>101.1036</td>\n",
       "      <td>27.7488</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106.0740</td>\n",
       "      <td>41.7048</td>\n",
       "      <td>29.5752</td>\n",
       "      <td>38.1336</td>\n",
       "      <td>91.9236</td>\n",
       "      <td>30.6560</td>\n",
       "      <td>100.7460</td>\n",
       "      <td>49.2504</td>\n",
       "      <td>65.8416</td>\n",
       "      <td>42.5920</td>\n",
       "      <td>77.0952</td>\n",
       "      <td>49.1272</td>\n",
       "      <td>96.2040</td>\n",
       "      <td>41.6240</td>\n",
       "      <td>106.0740</td>\n",
       "      <td>41.7048</td>\n",
       "      <td>97.5420</td>\n",
       "      <td>38.7176</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.5928</td>\n",
       "      <td>47.6608</td>\n",
       "      <td>100.8948</td>\n",
       "      <td>32.5512</td>\n",
       "      <td>101.8176</td>\n",
       "      <td>28.8968</td>\n",
       "      <td>14.029961</td>\n",
       "      <td>0.506883</td>\n",
       "      <td>6.949098</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.291622</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132569</th>\n",
       "      <td>2</td>\n",
       "      <td>5302.80</td>\n",
       "      <td>118.6140</td>\n",
       "      <td>40.4328</td>\n",
       "      <td>109.8048</td>\n",
       "      <td>30.8808</td>\n",
       "      <td>109.9668</td>\n",
       "      <td>29.4800</td>\n",
       "      <td>108.9072</td>\n",
       "      <td>32.1056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.5620</td>\n",
       "      <td>42.0824</td>\n",
       "      <td>108.5196</td>\n",
       "      <td>32.7824</td>\n",
       "      <td>109.2684</td>\n",
       "      <td>31.5272</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102.8796</td>\n",
       "      <td>43.0448</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.4716</td>\n",
       "      <td>33.8584</td>\n",
       "      <td>108.3960</td>\n",
       "      <td>38.7736</td>\n",
       "      <td>108.480</td>\n",
       "      <td>47.4840</td>\n",
       "      <td>98.2176</td>\n",
       "      <td>30.2880</td>\n",
       "      <td>30.9600</td>\n",
       "      <td>42.3808</td>\n",
       "      <td>94.9140</td>\n",
       "      <td>33.4280</td>\n",
       "      <td>108.0216</td>\n",
       "      <td>36.3912</td>\n",
       "      <td>109.6212</td>\n",
       "      <td>36.9440</td>\n",
       "      <td>98.2176</td>\n",
       "      <td>30.2880</td>\n",
       "      <td>108.6828</td>\n",
       "      <td>36.0584</td>\n",
       "      <td>108.6444</td>\n",
       "      <td>33.9464</td>\n",
       "      <td>97.9332</td>\n",
       "      <td>42.9760</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106.2960</td>\n",
       "      <td>48.7168</td>\n",
       "      <td>108.2868</td>\n",
       "      <td>42.8752</td>\n",
       "      <td>109.5972</td>\n",
       "      <td>29.6752</td>\n",
       "      <td>23.849442</td>\n",
       "      <td>0.279384</td>\n",
       "      <td>10.599681</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.134575</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136059</th>\n",
       "      <td>2</td>\n",
       "      <td>5442.40</td>\n",
       "      <td>118.7184</td>\n",
       "      <td>39.7176</td>\n",
       "      <td>113.8944</td>\n",
       "      <td>34.5312</td>\n",
       "      <td>113.9988</td>\n",
       "      <td>45.9784</td>\n",
       "      <td>114.7884</td>\n",
       "      <td>38.9888</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.2520</td>\n",
       "      <td>38.0960</td>\n",
       "      <td>108.5676</td>\n",
       "      <td>45.8416</td>\n",
       "      <td>107.3700</td>\n",
       "      <td>58.0152</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.2080</td>\n",
       "      <td>53.1856</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94.4352</td>\n",
       "      <td>36.9800</td>\n",
       "      <td>105.0480</td>\n",
       "      <td>48.4744</td>\n",
       "      <td>112.716</td>\n",
       "      <td>56.2368</td>\n",
       "      <td>113.9304</td>\n",
       "      <td>36.7648</td>\n",
       "      <td>43.2720</td>\n",
       "      <td>39.9992</td>\n",
       "      <td>102.7572</td>\n",
       "      <td>23.0456</td>\n",
       "      <td>73.7988</td>\n",
       "      <td>36.8320</td>\n",
       "      <td>80.5620</td>\n",
       "      <td>53.3936</td>\n",
       "      <td>99.9312</td>\n",
       "      <td>42.7688</td>\n",
       "      <td>114.7512</td>\n",
       "      <td>44.6920</td>\n",
       "      <td>93.1032</td>\n",
       "      <td>40.6800</td>\n",
       "      <td>90.7572</td>\n",
       "      <td>54.8608</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.5700</td>\n",
       "      <td>66.6752</td>\n",
       "      <td>113.7768</td>\n",
       "      <td>30.3336</td>\n",
       "      <td>113.9412</td>\n",
       "      <td>36.7088</td>\n",
       "      <td>6.877977</td>\n",
       "      <td>0.918300</td>\n",
       "      <td>2.233890</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.490506</td>\n",
       "      <td>0.057032</td>\n",
       "      <td>0.490506</td>\n",
       "      <td>135.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Period  Time [s]  Home_11_x  Home_11_y  Home_1_x  Home_1_y  Home_2_x  \\\n",
       "18514        1    740.60   115.7292    41.3944  101.7096   51.4880  102.6804   \n",
       "53048        1   2121.96   116.9964    39.2760  109.1556   42.4840  109.7688   \n",
       "63361        1   2534.48   119.6184    37.8928  108.7056   49.2408  110.2896   \n",
       "64771        1   2590.88   118.6536    39.5288  108.0276   50.3304  108.7104   \n",
       "69886        2   2795.48   118.2540    41.0528  107.0988   61.2120  110.2344   \n",
       "86190        2   3447.64   118.9272    41.1416  110.2620   44.1624  109.1400   \n",
       "90164        2   3606.60   117.8256    36.0600   97.8828   47.4856  114.2388   \n",
       "111757       2   4470.32   119.2752    39.9336  104.9100   62.4872  117.1308   \n",
       "115008       2   4600.36   119.0316    41.1160  101.5236   50.4768  101.8308   \n",
       "132569       2   5302.80   118.6140    40.4328  109.8048   30.8808  109.9668   \n",
       "136059       2   5442.40   118.7184    39.7176  113.8944   34.5312  113.9988   \n",
       "\n",
       "        Home_2_y  Home_3_x  Home_3_y  Home_4_x  Home_4_y  Home_5_x  Home_5_y  \\\n",
       "18514    45.6096  104.2860   34.5560  101.4156   18.2360   94.1424   44.6888   \n",
       "53048    31.2960  111.4464   30.9216  106.7136   21.7816   99.8724   30.6280   \n",
       "63361    58.3304  111.5364   41.9384  113.8632   34.4856  107.9868   40.0192   \n",
       "64771    41.7848  105.5148   38.0216  108.5532   37.5944   97.7232   43.4792   \n",
       "69886    52.8184  107.8584   39.8696  108.8448   35.5288   98.3520   64.0488   \n",
       "86190    34.3856  109.7580   36.4784  112.7628   38.5080  106.6056   46.0120   \n",
       "90164    32.6272  106.7592   22.9080  109.8708   27.5520  110.4948   43.1968   \n",
       "111757   53.5912  117.5400   42.9600       NaN       NaN  108.6228   35.5400   \n",
       "115008   47.2080  102.2148   30.2440       NaN       NaN  101.2728   31.6992   \n",
       "132569   29.4800  108.9072   32.1056       NaN       NaN  107.5620   42.0824   \n",
       "136059   45.9784  114.7884   38.9888       NaN       NaN  108.2520   38.0960   \n",
       "\n",
       "        Home_6_x  Home_6_y  Home_7_x  Home_7_y  Home_8_x  Home_8_y  Home_9_x  \\\n",
       "18514    94.0284   40.5592   91.1124   29.8064   87.3444    7.3488   80.8764   \n",
       "53048    97.8324   41.4744   99.0972   22.0168   88.8564   58.6744   70.8384   \n",
       "63361   109.4280   45.0960  111.4728   40.4592  101.0352   58.7056   71.1408   \n",
       "64771    94.8216   37.7832   98.7408   33.5928   91.9584   51.7032   84.5772   \n",
       "69886   104.3760   53.7040  104.2800   46.5400   99.2052   45.7536   75.6612   \n",
       "86190   107.9280   41.0328  111.1560   47.7968  114.7332   64.3152  100.0380   \n",
       "90164   109.3404   33.9176  102.6252   29.9360   73.8012   21.6016  103.5780   \n",
       "111757  111.5436   42.3448  113.7768   36.1216       NaN       NaN   95.1612   \n",
       "115008   97.7556   45.3744   99.3024   32.6424       NaN       NaN   95.7048   \n",
       "132569  108.5196   32.7824  109.2684   31.5272       NaN       NaN  102.8796   \n",
       "136059  108.5676   45.8416  107.3700   58.0152       NaN       NaN   86.2080   \n",
       "\n",
       "        Home_9_y  Home_10_x  Home_10_y  Home_12_x  Home_12_y  Home_13_x  \\\n",
       "18514    51.5000    69.0252    31.6600        NaN        NaN        NaN   \n",
       "53048    29.1272    69.0648    40.7312        NaN        NaN        NaN   \n",
       "63361    24.7664    59.8560    40.1104        NaN        NaN        NaN   \n",
       "64771    52.1408    64.2132    35.7504        NaN        NaN        NaN   \n",
       "69886    56.5632    70.0488    39.9408        NaN        NaN        NaN   \n",
       "86190    39.2408   108.9084    56.8624        NaN        NaN        NaN   \n",
       "90164    38.3576    55.3764    26.6400        NaN        NaN        NaN   \n",
       "111757   52.6920    72.2556    34.9448   111.0648    51.5024   114.0744   \n",
       "115008   36.5312   101.2224    25.9176   101.4912    48.9832   101.1036   \n",
       "132569   43.0448        NaN        NaN   108.4716    33.8584   108.3960   \n",
       "136059   53.1856        NaN        NaN    94.4352    36.9800   105.0480   \n",
       "\n",
       "        Home_13_y  Home_14_x  Home_14_y    ball_x   ball_y  Away_25_x  \\\n",
       "18514         NaN        NaN        NaN   95.3916  52.0408    26.5776   \n",
       "53048         NaN        NaN        NaN  110.4768  43.5784    24.3168   \n",
       "63361         NaN        NaN        NaN  111.8136  40.6848    12.5148   \n",
       "64771         NaN        NaN        NaN   92.3496  35.6200    20.9700   \n",
       "69886         NaN        NaN        NaN   94.4976  52.8360    25.4388   \n",
       "86190         NaN        NaN        NaN  100.6596  45.8616    40.8108   \n",
       "90164         NaN        NaN        NaN  112.8816  26.5600    17.4936   \n",
       "111757    45.2552        NaN        NaN  109.6128  31.2592    29.0244   \n",
       "115008    27.7488        NaN        NaN  106.0740  41.7048    29.5752   \n",
       "132569    38.7736    108.480    47.4840   98.2176  30.2880    30.9600   \n",
       "136059    48.4744    112.716    56.2368  113.9304  36.7648    43.2720   \n",
       "\n",
       "        Away_25_y  Away_15_x  Away_15_y  Away_16_x  Away_16_y  Away_17_x  \\\n",
       "18514     40.1832    73.7928    13.0480    63.0900    30.1120    65.1696   \n",
       "53048     42.4752    80.6364    13.6480    67.1796    27.2304    63.7668   \n",
       "63361     43.7640    68.9568    22.0584    57.3408    30.7000    58.9320   \n",
       "64771     41.0080    82.0140    16.4920    62.3688    29.9392    60.7644   \n",
       "69886     40.2296    83.4084    24.3944    67.3500    39.6136    71.5368   \n",
       "86190     40.6200    93.0864    28.1600   108.6024    31.7000   110.1012   \n",
       "90164     39.6232    71.8992    17.9728    59.6748    32.5728    56.8284   \n",
       "111757    39.4032    86.0148    22.4856    71.0316    31.9936    66.1524   \n",
       "115008    38.1336    91.9236    30.6560   100.7460    49.2504    65.8416   \n",
       "132569    42.3808    94.9140    33.4280   108.0216    36.3912   109.6212   \n",
       "136059    39.9992   102.7572    23.0456    73.7988    36.8320    80.5620   \n",
       "\n",
       "        Away_17_y  Away_18_x  Away_18_y  Away_19_x  Away_19_y  Away_20_x  \\\n",
       "18514     37.2776    77.9616    57.6632    95.6904    20.1792    97.3188   \n",
       "53048     44.9872    64.6680    61.3024   101.6724    21.8384    85.1256   \n",
       "63361     41.1952    62.4420    55.6864   109.1964    31.5000    91.6428   \n",
       "64771     42.1768   110.3040    39.4992   110.2524    34.3472    92.3712   \n",
       "69886     56.0128   103.2228    68.9864   100.5588    26.1696    85.2900   \n",
       "86190     34.5176    83.8056    52.5504    96.7020    43.5840   101.4264   \n",
       "90164     48.8296    76.0368    58.1536   112.9464    26.5808    99.5568   \n",
       "111757    44.6920   121.0188    54.3520    99.4464    62.9528   104.7312   \n",
       "115008    42.5920    77.0952    49.1272    96.2040    41.6240   106.0740   \n",
       "132569    36.9440    98.2176    30.2880   108.6828    36.0584   108.6444   \n",
       "136059    53.3936    99.9312    42.7688   114.7512    44.6920    93.1032   \n",
       "\n",
       "        Away_20_y  Away_21_x  Away_21_y  Away_22_x  Away_22_y  Away_23_x  \\\n",
       "18514     41.2296    76.5504    35.1056    95.5584    52.0760   106.2144   \n",
       "53048     34.1976    71.6448    45.7160    94.4760    52.7136   107.8152   \n",
       "63361     37.8504    81.4476    47.8312   111.2712    63.6040   111.7860   \n",
       "64771     35.6464    77.7204    35.6136    89.3280    49.4040    77.7000   \n",
       "69886     42.3160    94.4988    52.7880   110.2020    66.6744   109.1784   \n",
       "86190     66.4248   108.0024    51.4328   115.1136    71.4016   104.9304   \n",
       "90164     49.4936    76.7976    42.1960        NaN        NaN   107.9160   \n",
       "111757    45.9600    87.6168    43.6288        NaN        NaN   117.8844   \n",
       "115008    41.7048    97.5420    38.7176        NaN        NaN    99.5928   \n",
       "132569    33.9464    97.9332    42.9760        NaN        NaN   106.2960   \n",
       "136059    40.6800    90.7572    54.8608        NaN        NaN   108.5700   \n",
       "\n",
       "        Away_23_y  Away_24_x  Away_24_y  Away_26_x  Away_26_y   distance  \\\n",
       "18514     38.1336   103.0992    49.0856        NaN        NaN  27.396245   \n",
       "53048     30.7568   110.5464    43.5840        NaN        NaN  10.173312   \n",
       "63361     40.5560   102.4452    43.8400        NaN        NaN   8.214992   \n",
       "64771     23.0112   102.3516    65.0192        NaN        NaN  27.995161   \n",
       "69886     48.0176   108.2184    34.7400        NaN        NaN  28.550574   \n",
       "86190     43.2512   112.8504    40.5792        NaN        NaN  20.209142   \n",
       "90164     49.6400    99.9048    24.9312   113.5740    32.4112  15.208722   \n",
       "111757    47.9832   109.5936    31.1280   117.1932    37.8976  13.575548   \n",
       "115008    47.6608   100.8948    32.5512   101.8176    28.8968  14.029961   \n",
       "132569    48.7168   108.2868    42.8752   109.5972    29.6752  23.849442   \n",
       "136059    66.6752   113.7768    30.3336   113.9412    36.7088   6.877977   \n",
       "\n",
       "           angle  distance_nearest_defender  number_blocking_defenders  \\\n",
       "18514   0.239509                   6.342138                        0.0   \n",
       "53048   0.658078                   1.715599                        0.0   \n",
       "63361   0.836034                   0.408705                        1.0   \n",
       "64771   0.256770                   3.284847                        0.0   \n",
       "69886   0.228615                   8.504228                        1.0   \n",
       "86190   0.343913                   5.947902                        0.0   \n",
       "90164   0.234547                   3.170013                        0.0   \n",
       "111757  0.418328                   4.393785                        2.0   \n",
       "115008  0.506883                   6.949098                        0.0   \n",
       "132569  0.279384                  10.599681                        0.0   \n",
       "136059  0.918300                   2.233890                        0.0   \n",
       "\n",
       "              xG  distance_nearest_attacker  non_shot_xG  Away Possession  \\\n",
       "18514   0.055348                   0.170474     0.055348             26.0   \n",
       "53048   0.293708                   0.069825     0.293708             62.0   \n",
       "63361   0.295756                   0.131724     0.295756             71.0   \n",
       "64771   0.037192                   0.034110     0.037192             73.0   \n",
       "69886   0.045788                   0.048015     0.045788             77.0   \n",
       "86190   0.125456                   4.566187          NaN             90.0   \n",
       "90164   0.127539                   0.068056     0.127539             91.0   \n",
       "111757  0.124502                   0.132597     0.124502            120.0   \n",
       "115008  0.291622                   0.000000          NaN            120.0   \n",
       "132569  0.134575                   0.000000          NaN            130.0   \n",
       "136059  0.490506                   0.057032     0.490506            135.0   \n",
       "\n",
       "        Shot Indicator  \n",
       "18514              1.0  \n",
       "53048              1.0  \n",
       "63361              1.0  \n",
       "64771              1.0  \n",
       "69886              1.0  \n",
       "86190              1.0  \n",
       "90164              1.0  \n",
       "111757             1.0  \n",
       "115008             1.0  \n",
       "132569             1.0  \n",
       "136059             1.0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create shot indicator and merge to tracking data\n",
    "away_shots['Shot Indicator'] = 1\n",
    "away_tracking_frames = pd.merge(away_tracking_frames, away_shots[['Start Time [s]', 'Shot Indicator']], how='left', left_on='Time [s]', right_on='Start Time [s]')\n",
    "away_tracking_frames.drop(['Start Time [s]'], axis=1, inplace=True)\n",
    "away_tracking_frames[away_tracking_frames['Shot Indicator'] == 1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sum xG and Non Shot xG\n",
    "\n",
    "Sum the shot expected goals and the non-shot expected goals using xG and non_shot_xG respectively for the possessions that the team has.\n",
    "\n",
    "### Home"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T15:10:50.937370Z",
     "start_time": "2021-01-03T15:10:50.925401Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total xG for all shots: 2.0422338503137234.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>xG</th>\n",
       "      <th>Home Possession</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4418</th>\n",
       "      <td>0.019134</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12201</th>\n",
       "      <td>0.330727</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16483</th>\n",
       "      <td>0.048740</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27344</th>\n",
       "      <td>0.142581</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29753</th>\n",
       "      <td>0.031972</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56078</th>\n",
       "      <td>0.155117</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67066</th>\n",
       "      <td>0.024509</td>\n",
       "      <td>79.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73982</th>\n",
       "      <td>0.467064</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98879</th>\n",
       "      <td>0.335298</td>\n",
       "      <td>112.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117217</th>\n",
       "      <td>0.113531</td>\n",
       "      <td>131.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121026</th>\n",
       "      <td>0.023571</td>\n",
       "      <td>136.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124335</th>\n",
       "      <td>0.331111</td>\n",
       "      <td>137.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139890</th>\n",
       "      <td>0.018879</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              xG  Home Possession\n",
       "4418    0.019134              7.0\n",
       "12201   0.330727             16.0\n",
       "16483   0.048740             21.0\n",
       "27344   0.142581             33.0\n",
       "29753   0.031972             35.0\n",
       "56078   0.155117             65.0\n",
       "67066   0.024509             79.0\n",
       "73982   0.467064             89.0\n",
       "98879   0.335298            112.0\n",
       "117217  0.113531            131.0\n",
       "121026  0.023571            136.0\n",
       "124335  0.331111            137.0\n",
       "139890  0.018879            147.0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sum the xG for the shots\n",
    "home_shot_xg = home_tracking_frames[home_tracking_frames['Shot Indicator'] == 1][['xG', 'Home Possession']]\n",
    "print('Total xG for all shots: {}.'.format(home_shot_xg['xG'].sum()))\n",
    "home_shot_xg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T15:13:10.633580Z",
     "start_time": "2021-01-03T15:13:10.552796Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total non-shot xG for all possessions: 6.471366602506773.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Home Possession\n",
       "1.0      0.000173\n",
       "2.0      0.000373\n",
       "3.0      0.000130\n",
       "4.0      0.000085\n",
       "5.0      0.000184\n",
       "           ...   \n",
       "143.0         NaN\n",
       "144.0    0.000018\n",
       "145.0    0.000009\n",
       "146.0    0.001678\n",
       "147.0    0.014475\n",
       "Name: non_shot_xG, Length: 146, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sum the non-shot xG for all possessions\n",
    "home_non_shot_xG = home_tracking_frames.groupby('Home Possession').max()['non_shot_xG']\n",
    "print('Total non-shot xG for all possessions: {}.'.format(home_non_shot_xG.sum()))\n",
    "home_non_shot_xG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T15:13:22.096982Z",
     "start_time": "2021-01-03T15:13:22.085015Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Combined xG and non-shot xG for all possessions: 5.3129587422610225.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Home Possession\n",
       "1.0      0.000173\n",
       "2.0      0.000373\n",
       "3.0      0.000130\n",
       "4.0      0.000085\n",
       "5.0      0.000184\n",
       "           ...   \n",
       "143.0         NaN\n",
       "144.0    0.000018\n",
       "145.0    0.000009\n",
       "146.0    0.001678\n",
       "147.0    0.018879\n",
       "Name: non_shot_xG, Length: 146, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# If a possession had a shot, then attribute the xG to that possession\n",
    "home_xG_combined = home_non_shot_xG.copy()\n",
    "row_count=0\n",
    "for possession in list(home_shot_xg['Home Possession']):\n",
    "    for index in home_xG_combined.index:\n",
    "        if possession == index:\n",
    "            home_xG_combined[index] = home_shot_xg['xG'].iloc[row_count]\n",
    "    row_count+=1\n",
    "print('Combined xG and non-shot xG for all possessions: {}.'.format(home_xG_combined.sum()))\n",
    "home_xG_combined"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Away"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T15:13:32.513286Z",
     "start_time": "2021-01-03T15:13:32.501334Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total xG for all shots: 2.0219916974382524.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>xG</th>\n",
       "      <th>Away Possession</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18514</th>\n",
       "      <td>0.055348</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53048</th>\n",
       "      <td>0.293708</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63361</th>\n",
       "      <td>0.295756</td>\n",
       "      <td>71.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64771</th>\n",
       "      <td>0.037192</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69886</th>\n",
       "      <td>0.045788</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86190</th>\n",
       "      <td>0.125456</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90164</th>\n",
       "      <td>0.127539</td>\n",
       "      <td>91.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111757</th>\n",
       "      <td>0.124502</td>\n",
       "      <td>120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115008</th>\n",
       "      <td>0.291622</td>\n",
       "      <td>120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132569</th>\n",
       "      <td>0.134575</td>\n",
       "      <td>130.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136059</th>\n",
       "      <td>0.490506</td>\n",
       "      <td>135.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              xG  Away Possession\n",
       "18514   0.055348             26.0\n",
       "53048   0.293708             62.0\n",
       "63361   0.295756             71.0\n",
       "64771   0.037192             73.0\n",
       "69886   0.045788             77.0\n",
       "86190   0.125456             90.0\n",
       "90164   0.127539             91.0\n",
       "111757  0.124502            120.0\n",
       "115008  0.291622            120.0\n",
       "132569  0.134575            130.0\n",
       "136059  0.490506            135.0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "away_shot_xg = away_tracking_frames[away_tracking_frames['Shot Indicator'] == 1][['xG', 'Away Possession']]\n",
    "print('Total xG for all shots: {}.'.format(away_shot_xg['xG'].sum()))\n",
    "away_shot_xg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T15:13:32.953524Z",
     "start_time": "2021-01-03T15:13:32.875683Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total non-shot xG for all possessions: 3.8990711322285203.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Away Possession\n",
       "1.0     0.002531\n",
       "2.0     0.000991\n",
       "3.0     0.002739\n",
       "4.0     0.003080\n",
       "5.0     0.007574\n",
       "6.0     0.000847\n",
       "7.0     0.000031\n",
       "8.0     0.000782\n",
       "9.0     0.000069\n",
       "10.0    0.000391\n",
       "Name: non_shot_xG, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "away_non_shot_xG = away_tracking_frames.groupby('Away Possession').max()['non_shot_xG']\n",
    "print('Total non-shot xG for all possessions: {}.'.format(away_non_shot_xG.sum()))\n",
    "away_non_shot_xG[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-03T15:13:35.530352Z",
     "start_time": "2021-01-03T15:13:35.519380Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Combined xG and non-shot xG for all possessions: 3.4645735037493606.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Away Possession\n",
       "1.0      0.002531\n",
       "2.0      0.000991\n",
       "3.0      0.002739\n",
       "4.0      0.003080\n",
       "5.0      0.007574\n",
       "           ...   \n",
       "131.0    0.000900\n",
       "132.0    0.016164\n",
       "133.0    0.015819\n",
       "134.0    0.006342\n",
       "135.0    0.490506\n",
       "Name: non_shot_xG, Length: 134, dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "away_xG_combined = away_non_shot_xG.copy()\n",
    "row_count=0\n",
    "for possession in list(away_shot_xg['Away Possession']):\n",
    "    for index in away_xG_combined.index:\n",
    "        if possession == index:\n",
    "            away_xG_combined[index] = away_shot_xg['xG'].iloc[row_count]\n",
    "    row_count+=1\n",
    "print('Combined xG and non-shot xG for all possessions: {}.'.format(away_xG_combined.sum()))\n",
    "away_xG_combined"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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