{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# World Cup Analysis\n",
    "\n",
    "In this notebook I present the code required to replicate my World Cup analysis post using event data.\n",
    "\n",
    "## Required Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as ticker\n",
    "import matplotlib.patheffects as path_effects\n",
    "import matplotlib.font_manager as fm\n",
    "from matplotlib.colors import LinearSegmentedColormap, Normalize\n",
    "import matplotlib.patches as mpatches\n",
    "from matplotlib import cm\n",
    "import numpy as np\n",
    "from matplotlib import cm\n",
    "from highlight_text import fig_text, ax_text\n",
    "from ast import literal_eval\n",
    "\n",
    "from mplsoccer import Pitch, VerticalPitch\n",
    "\n",
    "from PIL import Image\n",
    "import urllib\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "font_path = \"../assets/fonts\"\n",
    "for x in os.listdir(font_path):\n",
    "    for y in os.listdir(f\"{font_path}/{x}\"):\n",
    "        if (y.split(\".\")[-1] == \"ttf\") or (y.split(\".\")[-1] == \"otf\"):\n",
    "            fm.fontManager.addfont(f\"{font_path}/{x}/{y}\")\n",
    "            try:\n",
    "                fm.FontProperties(weight=y.split(\"-\")[-1].split(\".\")[0].lower(), fname=y.split(\"-\")[0])\n",
    "            except Exception:\n",
    "                continue\n",
    "\n",
    "plt.style.use(\"../assets/stylesheets/soc_base.mplstyle\")\n",
    "plt.rcParams['font.family'] = 'DM Sans'"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define SOC colormap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "colors = [\n",
    "    '#efe9e6',\n",
    "    '#e9e1dd',\n",
    "    '#e3dad3',\n",
    "    '#dcd3c9',\n",
    "    '#d4ccc0',\n",
    "    '#ccc6b7',\n",
    "    '#c3bfae',\n",
    "    '#bab9a6',\n",
    "    '#b0b39e',\n",
    "    '#a6ad96',\n",
    "    '#9ba790',\n",
    "    '#90a18a',\n",
    "    '#849b84',\n",
    "    '#789680',\n",
    "    '#6c907c',\n",
    "    '#608a79',\n",
    "    '#538476',\n",
    "    '#467e74',\n",
    "    '#387872',\n",
    "    '#287271',\n",
    "]\n",
    "soc_cm = LinearSegmentedColormap.from_list('SOC', colors, N=50)\n",
    "cm.register_cmap(name='SOC', cmap=soc_cm)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the dataset\n",
    "\n",
    "The following CSV file contains event level data for every match played during the 2022 FIFA World Cup."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('data/world_cup_data.csv', index_col=0, low_memory=False)\n",
    "data['qualifiers'] = [literal_eval(x) for x in data['qualifiers']]\n",
    "data['satisfied_events_types'] = [literal_eval(x) for x in data['satisfied_events_types']]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Viz 1. The player with most passes made during a single match\n",
    "\n",
    "For our first chart we will look at the player that made the most passes during a single match in the World Cup (excluding extra-time).\n",
    "\n",
    "Let's begin by performing some computations on our dataset to find which player fits the criteria and then proceed with our visual."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Filter out corners and throw-ins.\n",
    "data_passes = data.copy()\n",
    "data_passes['is_throw_or_corner'] = False\n",
    "for index, row in enumerate(data_passes['qualifiers']):\n",
    "    for element in row:\n",
    "        if 'ThrowIn' in element.keys() or 'CornerTaken' in element.keys():\n",
    "            data_passes.at[index, 'is_throw_or_corner'] = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The player with the most passes in a single match was Rodri in Japan - Spain, with 215 passes made.\n"
     ]
    }
   ],
   "source": [
    "data_most_passes = (\n",
    "    data_passes[(data_passes['period'].isin(['FirstHalf', 'SecondHalf'])) & (data_passes['event_type'] == 'Pass') & (~data_passes['is_throw_or_corner'])]\n",
    "    .groupby(['match_id', 'player_name', 'player_id', 'match_string']).size()\n",
    "    .reset_index(name='total_passes')\n",
    "    .sort_values(by='total_passes', ascending=False)\n",
    "    .reset_index(drop=True)\n",
    ")\n",
    "player_most_passes = data_most_passes.loc[0]\n",
    "print(f'The player with the most passes in a single match was {player_most_passes[\"player_name\"]} in {player_most_passes[\"match_string\"]}, with {player_most_passes[\"total_passes\"]:.0f} passes made.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "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>event_id</th>\n",
       "      <th>minute</th>\n",
       "      <th>second</th>\n",
       "      <th>team_id</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>expanded_minute</th>\n",
       "      <th>period</th>\n",
       "      <th>outcome_type</th>\n",
       "      <th>qualifiers</th>\n",
       "      <th>...</th>\n",
       "      <th>is_goal</th>\n",
       "      <th>player_name</th>\n",
       "      <th>event_type</th>\n",
       "      <th>pass_recipient</th>\n",
       "      <th>team_name</th>\n",
       "      <th>match_date</th>\n",
       "      <th>match_id</th>\n",
       "      <th>match_string</th>\n",
       "      <th>is_own_goal</th>\n",
       "      <th>is_throw_or_corner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.488483e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>338</td>\n",
       "      <td>14.7</td>\n",
       "      <td>17.3</td>\n",
       "      <td>0</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Successful</td>\n",
       "      <td>[{'Angle': '1.3'}, {'Length': '30.6'}, {'Zone'...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rodri</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Pau Torres</td>\n",
       "      <td>Spain</td>\n",
       "      <td>2022-12-01T19:00:00</td>\n",
       "      <td>1632107</td>\n",
       "      <td>Japan - Spain</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.488483e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>338</td>\n",
       "      <td>43.7</td>\n",
       "      <td>38.8</td>\n",
       "      <td>0</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Successful</td>\n",
       "      <td>[{'StandingSave': True}, {'Length': '18.5'}, {...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rodri</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Pau Torres</td>\n",
       "      <td>Spain</td>\n",
       "      <td>2022-12-01T19:00:00</td>\n",
       "      <td>1632107</td>\n",
       "      <td>Japan - Spain</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.488483e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>338</td>\n",
       "      <td>44.0</td>\n",
       "      <td>42.7</td>\n",
       "      <td>0</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Successful</td>\n",
       "      <td>[{'Length': '19.1'}, {'PassEndY': '14.8'}, {'P...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rodri</td>\n",
       "      <td>Pass</td>\n",
       "      <td>César Azpilicueta</td>\n",
       "      <td>Spain</td>\n",
       "      <td>2022-12-01T19:00:00</td>\n",
       "      <td>1632107</td>\n",
       "      <td>Japan - Spain</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.488483e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>338</td>\n",
       "      <td>34.9</td>\n",
       "      <td>44.2</td>\n",
       "      <td>0</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Successful</td>\n",
       "      <td>[{'PassEndX': '26.5'}, {'Zone': 'Back'}, {'Sta...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rodri</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Pau Torres</td>\n",
       "      <td>Spain</td>\n",
       "      <td>2022-12-01T19:00:00</td>\n",
       "      <td>1632107</td>\n",
       "      <td>Japan - Spain</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.488483e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>338</td>\n",
       "      <td>38.7</td>\n",
       "      <td>28.3</td>\n",
       "      <td>0</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Successful</td>\n",
       "      <td>[{'Zone': 'Back'}, {'StandingSave': True}, {'A...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rodri</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Pau Torres</td>\n",
       "      <td>Spain</td>\n",
       "      <td>2022-12-01T19:00:00</td>\n",
       "      <td>1632107</td>\n",
       "      <td>Japan - Spain</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       event_id  minute  second  team_id     x     y  expanded_minute  \\\n",
       "0  2.488483e+09       0    15.0      338  14.7  17.3                0   \n",
       "1  2.488483e+09       0    30.0      338  43.7  38.8                0   \n",
       "2  2.488483e+09       0    38.0      338  44.0  42.7                0   \n",
       "3  2.488483e+09       0    47.0      338  34.9  44.2                0   \n",
       "4  2.488483e+09       0    57.0      338  38.7  28.3                0   \n",
       "\n",
       "      period outcome_type                                         qualifiers  \\\n",
       "0  FirstHalf   Successful  [{'Angle': '1.3'}, {'Length': '30.6'}, {'Zone'...   \n",
       "1  FirstHalf   Successful  [{'StandingSave': True}, {'Length': '18.5'}, {...   \n",
       "2  FirstHalf   Successful  [{'Length': '19.1'}, {'PassEndY': '14.8'}, {'P...   \n",
       "3  FirstHalf   Successful  [{'PassEndX': '26.5'}, {'Zone': 'Back'}, {'Sta...   \n",
       "4  FirstHalf   Successful  [{'Zone': 'Back'}, {'StandingSave': True}, {'A...   \n",
       "\n",
       "   ... is_goal  player_name  event_type     pass_recipient  team_name  \\\n",
       "0  ...     NaN        Rodri        Pass         Pau Torres      Spain   \n",
       "1  ...     NaN        Rodri        Pass         Pau Torres      Spain   \n",
       "2  ...     NaN        Rodri        Pass  César Azpilicueta      Spain   \n",
       "3  ...     NaN        Rodri        Pass         Pau Torres      Spain   \n",
       "4  ...     NaN        Rodri        Pass         Pau Torres      Spain   \n",
       "\n",
       "            match_date  match_id   match_string  is_own_goal  \\\n",
       "0  2022-12-01T19:00:00   1632107  Japan - Spain          NaN   \n",
       "1  2022-12-01T19:00:00   1632107  Japan - Spain          NaN   \n",
       "2  2022-12-01T19:00:00   1632107  Japan - Spain          NaN   \n",
       "3  2022-12-01T19:00:00   1632107  Japan - Spain          NaN   \n",
       "4  2022-12-01T19:00:00   1632107  Japan - Spain          NaN   \n",
       "\n",
       "  is_throw_or_corner  \n",
       "0              False  \n",
       "1              False  \n",
       "2              False  \n",
       "3              False  \n",
       "4              False  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filter conditions\n",
    "condition_ft = data_passes['period'].isin(['FirstHalf', 'SecondHalf'])\n",
    "condition_passes = data_passes['event_type'] == 'Pass'\n",
    "condition_player = data_passes['player_id'] == player_most_passes['player_id']\n",
    "condition_match = data_passes['match_id'] == player_most_passes['match_id']\n",
    "# We create a new DataFrame\n",
    "df_plot_passes = (\n",
    "    data_passes[\n",
    "        (condition_ft) & (condition_passes) &\n",
    "        (condition_player) & (condition_match)\n",
    "    ].reset_index(drop=True)\n",
    ")\n",
    "df_plot_passes.head()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we check which passes were progressive, i.e. passes that ended within the opposition box or which took the ball closer to the opposition's center of the goal by 25%."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def check_if_pass_is_progressive(x, y, end_x, end_y):\n",
    "    '''\n",
    "    This function returns \"True\" if the pass meets the criteria\n",
    "    for a progressive pass.\n",
    "    '''\n",
    "    # -- Start position\n",
    "    height_start = abs(x - 100)\n",
    "    length_start = abs(y - 50)\n",
    "    distance_sq_start = height_start**2 + length_start**2\n",
    "    distance_start = distance_sq_start**(1/2)\n",
    "    # -- End position\n",
    "    height_end = abs(end_x - 100)\n",
    "    length_end = abs(end_y - 50)\n",
    "    distance_sq_end = height_end**2 + length_end**2\n",
    "    distance_end = distance_sq_end**(1/2)\n",
    "    # -- Calculate change in distance\n",
    "    delta_distance = distance_end/distance_start - 1\n",
    "    if delta_distance <= -0.25:\n",
    "        return True\n",
    "    else:\n",
    "        return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_plot_passes['is_progressive'] = df_plot_passes.apply(lambda x: check_if_pass_is_progressive(x['x'], x['y'], x['end_x'], x['end_y']), axis=1)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we can proceed to make our visual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(4,4), dpi=300)\n",
    "ax = plt.subplot(111)\n",
    "pitch = VerticalPitch(\n",
    "    pitch_type='opta',\n",
    "    goal_type='box',\n",
    "    linewidth=.85,\n",
    "    line_color='black',\n",
    ")\n",
    "pitch.draw(ax = ax)\n",
    "\n",
    "# - We need to invert the coordinates because of the Vertical Pitch!!\n",
    "for index, pass_made in df_plot_passes.iterrows():\n",
    "    if pass_made['is_progressive']:\n",
    "        if pass_made['outcome_type'] == 'Successful':\n",
    "            color = '#287271'\n",
    "        else:\n",
    "            color = '#8B0D11'\n",
    "        x = pass_made['y']\n",
    "        y = pass_made['x']\n",
    "        dx = pass_made['end_y']\n",
    "        dy = pass_made['end_x']\n",
    "        pass_arrow = mpatches.FancyArrowPatch((x,y), (dx, dy), ec='None',\n",
    "                                            fc='#efe9e6',arrowstyle='-|>,head_length=2.6,head_width=1.2', zorder=4)\n",
    "        ax.add_patch(pass_arrow)\n",
    "        pass_arrow = mpatches.FancyArrowPatch((x,y), (dx, dy), ec=color,\n",
    "                                            fc='None',arrowstyle='-|>,head_length=3,head_width=2', zorder=2)\n",
    "        ax.add_patch(pass_arrow)\n",
    "\n",
    "pitch.kdeplot(\n",
    "    df_plot_passes.x, df_plot_passes.y, \n",
    "    ax=ax, shade=True, \n",
    "    levels=50, shade_lowest=True,\n",
    "    cut=4, zorder=-1, cmap='SOC')\n",
    "\n",
    "# -- We plot the scatter (also with inverted coords)\n",
    "df_plot_passes_succ = df_plot_passes[df_plot_passes['outcome_type'] == 'Successful']\n",
    "df_plot_passes_unsucc = df_plot_passes[df_plot_passes['outcome_type'] != 'Successful']\n",
    "ax.scatter(df_plot_passes_succ.y, df_plot_passes_succ.x, s=10, alpha=0.15, lw=1.5, color='#287271', zorder=3)\n",
    "ax.scatter(df_plot_passes_unsucc.y, df_plot_passes_unsucc.x, s=10, alpha=0.15, lw=1.5, color='#8B0D11', zorder=3)\n",
    "\n",
    "# -- Add Fancy Logo and Text\n",
    "DC_to_FC = ax.transData.transform\n",
    "FC_to_NFC = fig.transFigure.inverted().transform\n",
    "# -- Take data coordinates and transform them to normalized figure coordinates\n",
    "DC_to_NFC = lambda x: FC_to_NFC(DC_to_FC(x))\n",
    "ax_coords = DC_to_NFC((80,2))\n",
    "ax_size = .055\n",
    "image_ax = fig.add_axes(\n",
    "    [ax_coords[0], ax_coords[1], ax_size, ax_size],\n",
    "    fc='None'\n",
    ")\n",
    "fotmob_url = 'https://cdn-icons-png.flaticon.com/512/939/939640.png'\n",
    "club_icon = Image.open(urllib.request.urlopen(f'{fotmob_url}'))\n",
    "image_ax.imshow(club_icon)\n",
    "image_ax.axis('off')\n",
    "\n",
    "ax_coords = DC_to_NFC((80,90))\n",
    "ax_size = .055\n",
    "image_ax = fig.add_axes(\n",
    "    [ax_coords[0], ax_coords[1], ax_size, ax_size],\n",
    "    fc='None'\n",
    ")\n",
    "fotmob_url = 'https://cdn-icons-png.flaticon.com/512/939/939616.png'\n",
    "club_icon = Image.open(urllib.request.urlopen(f'{fotmob_url}'))\n",
    "image_ax.imshow(club_icon)\n",
    "image_ax.axis('off')\n",
    "\n",
    "ax_text(\n",
    "    x=100, y=119,\n",
    "    s='<Rodri> made the most passes\\nin a single match during the WC',\n",
    "    size=8, family='Nippo',\n",
    "    ha='left', ax=ax, va='bottom', weight='bold'\n",
    ")\n",
    "\n",
    "succes_rate = df_plot_passes_succ.shape[0]/(df_plot_passes.shape[0])\n",
    "\n",
    "str_text = f'''\n",
    "In the match against Japan, Rodri attempted 215 passes, the most of any\n",
    "player during the 2022 World Cup; of those passes <{succes_rate:.0%} were successful>\n",
    "and <{1-succes_rate:.0%} were unsuccessful>. He also attempted {df_plot_passes[df_plot_passes[\"is_progressive\"]].shape[0]:.0f} progressive passes (arrows).\n",
    "Viz by @sonofacorner | Data source: Opta.\n",
    "'''\n",
    "\n",
    "ax_text(\n",
    "    x=100, y=119,\n",
    "    s=str_text,\n",
    "    size=3.5, family='DM Sans', \n",
    "    highlight_textprops=[{'color':'#287271', 'weight':'bold'}, {'color':'#8B0D11', 'weight':'bold'}],\n",
    "    ha='left', ax=ax, va='top'\n",
    ")\n",
    "\n",
    "plt.savefig(\n",
    "\t\"figures/12232022_most_passes.png\",\n",
    "\tdpi = 600,\n",
    "\tfacecolor = \"None\",\n",
    "\tbbox_inches=\"tight\",\n",
    "    edgecolor=\"none\",\n",
    "\ttransparent = True\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Viz 2. Teams with Most Recoveries in the Opposing Final Third\n",
    "\n",
    "Next, we will look at which team had the most number of recoveries of the ball in the opposition's final third."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We define a set that covers all (I think) recovery ball actions:\n",
    "recovery_set = set(['ballRecovery','interceptionWon','tackleWon','foulGiven','duelAerialWon'])\n",
    "data_recoveries = data.copy()\n",
    "data_recoveries['won_possession'] = False\n",
    "for index, row in enumerate(data_recoveries['satisfied_events_types']):\n",
    "    set_element = set(row)\n",
    "    if len(recovery_set.intersection(set_element)) > 0:\n",
    "        data_recoveries.at[index, 'won_possession'] = True"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the next step, we check filter only those recoveries that happened in the opposition's final third."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_recoveries = data_recoveries[data_recoveries['won_possession']]\n",
    "data_recoveries = data_recoveries[data_recoveries['x'] > 100 - 100/3].reset_index(drop=True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we group the data to check the team that had the most recoveries in the final third."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>match_id</th>\n",
       "      <th>team_name</th>\n",
       "      <th>team_id</th>\n",
       "      <th>match_string</th>\n",
       "      <th>total_recoveries</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>1632119</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>423</td>\n",
       "      <td>Serbia - Switzerland</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>1638014</td>\n",
       "      <td>Wales</td>\n",
       "      <td>421</td>\n",
       "      <td>Wales - England</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>1697162</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>335</td>\n",
       "      <td>Netherlands - USA</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>1632105</td>\n",
       "      <td>Japan</td>\n",
       "      <td>986</td>\n",
       "      <td>Germany - Japan</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>1697399</td>\n",
       "      <td>South Korea</td>\n",
       "      <td>1159</td>\n",
       "      <td>Brazil - South Korea</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1632102</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>425</td>\n",
       "      <td>Denmark - Tunisia</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1632101</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>972</td>\n",
       "      <td>Saudi Arabia - Mexico</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1638013</td>\n",
       "      <td>Wales</td>\n",
       "      <td>421</td>\n",
       "      <td>Wales - Iran</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1632105</td>\n",
       "      <td>Germany</td>\n",
       "      <td>336</td>\n",
       "      <td>Germany - Japan</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1697726</td>\n",
       "      <td>England</td>\n",
       "      <td>345</td>\n",
       "      <td>England - France</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>128 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     match_id    team_name  team_id           match_string  total_recoveries\n",
       "127   1632119  Switzerland      423   Serbia - Switzerland                 2\n",
       "123   1638014        Wales      421        Wales - England                 3\n",
       "126   1697162  Netherlands      335      Netherlands - USA                 3\n",
       "125   1632105        Japan      986        Germany - Japan                 3\n",
       "124   1697399  South Korea     1159   Brazil - South Korea                 3\n",
       "..        ...          ...      ...                    ...               ...\n",
       "4     1632102      Denmark      425      Denmark - Tunisia                21\n",
       "3     1632101       Mexico      972  Saudi Arabia - Mexico                23\n",
       "2     1638013        Wales      421           Wales - Iran                23\n",
       "1     1632105      Germany      336        Germany - Japan                23\n",
       "0     1697726      England      345       England - France                24\n",
       "\n",
       "[128 rows x 5 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_most_recoveries = (\n",
    "    data_recoveries[(data_recoveries['period'].isin(['FirstHalf', 'SecondHalf']))]\n",
    "    .groupby(['match_id', 'team_name', 'team_id', 'match_string']).size()\n",
    "    .reset_index(name='total_recoveries')\n",
    "    .sort_values(by='total_recoveries', ascending=False)\n",
    "    .reset_index(drop=True)\n",
    ")\n",
    "data_most_recoveries.sort_values(by='total_recoveries')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Time to do the visual."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>event_id</th>\n",
       "      <th>minute</th>\n",
       "      <th>second</th>\n",
       "      <th>team_id</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>expanded_minute</th>\n",
       "      <th>period</th>\n",
       "      <th>outcome_type</th>\n",
       "      <th>qualifiers</th>\n",
       "      <th>...</th>\n",
       "      <th>is_goal</th>\n",
       "      <th>player_name</th>\n",
       "      <th>event_type</th>\n",
       "      <th>pass_recipient</th>\n",
       "      <th>team_name</th>\n",
       "      <th>match_date</th>\n",
       "      <th>match_id</th>\n",
       "      <th>match_string</th>\n",
       "      <th>is_own_goal</th>\n",
       "      <th>won_possession</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1338</th>\n",
       "      <td>2.490214e+09</td>\n",
       "      <td>2</td>\n",
       "      <td>45.0</td>\n",
       "      <td>345</td>\n",
       "      <td>68.4</td>\n",
       "      <td>39.8</td>\n",
       "      <td>2</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Successful</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bukayo Saka</td>\n",
       "      <td>BallRecovery</td>\n",
       "      <td>NaN</td>\n",
       "      <td>England</td>\n",
       "      <td>2022-12-10T19:00:00</td>\n",
       "      <td>1697726</td>\n",
       "      <td>England - France</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1339</th>\n",
       "      <td>2.490214e+09</td>\n",
       "      <td>3</td>\n",
       "      <td>12.0</td>\n",
       "      <td>345</td>\n",
       "      <td>76.2</td>\n",
       "      <td>14.7</td>\n",
       "      <td>3</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Successful</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jordan Henderson</td>\n",
       "      <td>BallRecovery</td>\n",
       "      <td>NaN</td>\n",
       "      <td>England</td>\n",
       "      <td>2022-12-10T19:00:00</td>\n",
       "      <td>1697726</td>\n",
       "      <td>England - France</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1340</th>\n",
       "      <td>2.490215e+09</td>\n",
       "      <td>4</td>\n",
       "      <td>23.0</td>\n",
       "      <td>345</td>\n",
       "      <td>71.1</td>\n",
       "      <td>94.7</td>\n",
       "      <td>4</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Successful</td>\n",
       "      <td>[{'Foul': True}, {'Offensive': True}, {'Opposi...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Phil Foden</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>England</td>\n",
       "      <td>2022-12-10T19:00:00</td>\n",
       "      <td>1697726</td>\n",
       "      <td>England - France</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1342</th>\n",
       "      <td>2.490218e+09</td>\n",
       "      <td>18</td>\n",
       "      <td>42.0</td>\n",
       "      <td>345</td>\n",
       "      <td>76.9</td>\n",
       "      <td>33.0</td>\n",
       "      <td>18</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Successful</td>\n",
       "      <td>[{'Zone': 'Center'}, {'OppositeRelatedEvent': ...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bukayo Saka</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>England</td>\n",
       "      <td>2022-12-10T19:00:00</td>\n",
       "      <td>1697726</td>\n",
       "      <td>England - France</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1343</th>\n",
       "      <td>2.490218e+09</td>\n",
       "      <td>21</td>\n",
       "      <td>33.0</td>\n",
       "      <td>345</td>\n",
       "      <td>96.7</td>\n",
       "      <td>56.8</td>\n",
       "      <td>21</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Successful</td>\n",
       "      <td>[{'Zone': 'Center'}, {'OppositeRelatedEvent': ...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jude Bellingham</td>\n",
       "      <td>Aerial</td>\n",
       "      <td>NaN</td>\n",
       "      <td>England</td>\n",
       "      <td>2022-12-10T19:00:00</td>\n",
       "      <td>1697726</td>\n",
       "      <td>England - France</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          event_id  minute  second  team_id     x     y  expanded_minute  \\\n",
       "1338  2.490214e+09       2    45.0      345  68.4  39.8                2   \n",
       "1339  2.490214e+09       3    12.0      345  76.2  14.7                3   \n",
       "1340  2.490215e+09       4    23.0      345  71.1  94.7                4   \n",
       "1342  2.490218e+09      18    42.0      345  76.9  33.0               18   \n",
       "1343  2.490218e+09      21    33.0      345  96.7  56.8               21   \n",
       "\n",
       "         period outcome_type  \\\n",
       "1338  FirstHalf   Successful   \n",
       "1339  FirstHalf   Successful   \n",
       "1340  FirstHalf   Successful   \n",
       "1342  FirstHalf   Successful   \n",
       "1343  FirstHalf   Successful   \n",
       "\n",
       "                                             qualifiers  ... is_goal  \\\n",
       "1338                                                 []  ...     NaN   \n",
       "1339                                                 []  ...     NaN   \n",
       "1340  [{'Foul': True}, {'Offensive': True}, {'Opposi...  ...     NaN   \n",
       "1342  [{'Zone': 'Center'}, {'OppositeRelatedEvent': ...  ...     NaN   \n",
       "1343  [{'Zone': 'Center'}, {'OppositeRelatedEvent': ...  ...     NaN   \n",
       "\n",
       "           player_name    event_type  pass_recipient  team_name  \\\n",
       "1338       Bukayo Saka  BallRecovery             NaN    England   \n",
       "1339  Jordan Henderson  BallRecovery             NaN    England   \n",
       "1340        Phil Foden          Foul             NaN    England   \n",
       "1342       Bukayo Saka          Foul             NaN    England   \n",
       "1343   Jude Bellingham        Aerial             NaN    England   \n",
       "\n",
       "               match_date  match_id      match_string  is_own_goal  \\\n",
       "1338  2022-12-10T19:00:00   1697726  England - France          NaN   \n",
       "1339  2022-12-10T19:00:00   1697726  England - France          NaN   \n",
       "1340  2022-12-10T19:00:00   1697726  England - France          NaN   \n",
       "1342  2022-12-10T19:00:00   1697726  England - France          NaN   \n",
       "1343  2022-12-10T19:00:00   1697726  England - France          NaN   \n",
       "\n",
       "     won_possession  \n",
       "1338           True  \n",
       "1339           True  \n",
       "1340           True  \n",
       "1342           True  \n",
       "1343           True  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_eng = data_recoveries[(data_recoveries['match_id'] == 1697726) & (data_recoveries['team_id'] == 345)]\n",
    "data_eng.head()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, first we need to get the coordinates of the pitch to specify the bounds of the bins we'll use to cut the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pitch = VerticalPitch(\n",
    "    pitch_type='opta',\n",
    "    goal_type='box',\n",
    "    linewidth=.85,\n",
    "    line_color='black',\n",
    "    half=True\n",
    ")\n",
    "\n",
    "# Here we can get the positional dimensions\n",
    "pos_x = pitch.dim.positional_x\n",
    "pos_y = pitch.dim.positional_y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_eng = data_eng.assign(bins_x = lambda x: pd.cut(x.x, bins=pos_x))\n",
    "data_eng = data_eng.assign(bins_y = lambda x: pd.cut(x.y, bins=pos_y))\n",
    "data_eng_groupped = data_eng.groupby(['bins_x', 'bins_y']).size().reset_index(name='count')\n",
    "data_eng_groupped['left_x'] = data_eng_groupped['bins_x'].apply(lambda x: x.left)\n",
    "data_eng_groupped['right_x'] = data_eng_groupped['bins_x'].apply(lambda x: x.right)\n",
    "data_eng_groupped['left_y'] = data_eng_groupped['bins_y'].apply(lambda x: x.left)\n",
    "data_eng_groupped['right_y'] = data_eng_groupped['bins_y'].apply(lambda x: x.right)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we do our visual."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(4,4), dpi=300)\n",
    "ax = plt.subplot(111)\n",
    "pitch = VerticalPitch(\n",
    "    pitch_type='opta',\n",
    "    goal_type='box',\n",
    "    linewidth=.85,\n",
    "    line_color='black',\n",
    "    half=True\n",
    ")\n",
    "pitch.draw(ax = ax)\n",
    "\n",
    "# Here we can get the positional dimensions\n",
    "pos_x = pitch.dim.positional_x\n",
    "pos_y = pitch.dim.positional_y\n",
    "\n",
    "# Remember that we need to invert the axis!!\n",
    "for x in pos_x[1:-1]:\n",
    "    ax.plot([pos_y[0], pos_y[-1]], [x,x], color='lightgrey', ls='dashed', zorder=0, lw=0.3, alpha=0.85)\n",
    "for y in pos_y[1:-1]:\n",
    "    ax.plot([y,y], [pos_x[0], pos_x[-1]], color='lightgrey', ls='dashed', zorder=0, lw=0.3, alpha=0.85)\n",
    "\n",
    "counter = 1\n",
    "for index_y, y in enumerate(pos_y):\n",
    "    for index_x, x in enumerate(pos_x):\n",
    "        try:\n",
    "            lower_y = pos_y[index_y]\n",
    "            lower_x = pos_x[index_x]\n",
    "            upper_y = pos_y[index_y + 1]\n",
    "            upper_x = pos_x[index_x + 1]\n",
    "        except:\n",
    "            continue\n",
    "        condition_bounds = (data_eng_groupped['left_x'] >= lower_x) & (data_eng_groupped['right_x'] <= upper_x) & (data_eng_groupped['left_y'] >= lower_y) & (data_eng_groupped['right_y'] <= upper_y)\n",
    "        alpha = data_eng_groupped[condition_bounds]['count'].iloc[0]/data_eng_groupped['count'].max()\n",
    "        if alpha > 0:\n",
    "            ax.fill_between(\n",
    "                x=[lower_y, upper_y],\n",
    "                y1=lower_x,\n",
    "                y2=upper_x,\n",
    "                color='#EA1F29',\n",
    "                zorder=0,\n",
    "                alpha=alpha*.6,\n",
    "                ec='None'\n",
    "            )\n",
    "        else:\n",
    "            ax.fill_between(\n",
    "                x=[lower_y, upper_y],\n",
    "                y1=lower_x,\n",
    "                y2=upper_x,\n",
    "                color='grey',\n",
    "                zorder=0,\n",
    "                alpha=.35,\n",
    "                ec='None'\n",
    "            )\n",
    "        counter += 1\n",
    "\n",
    "\n",
    "actions = ['BallRecovery', 'Foul', 'Aerial', 'Tackle', 'Interception']\n",
    "markers = ['o', 'X', 'v', 's', '^']\n",
    "for a, m in zip(actions, markers):\n",
    "    if a == 'BallRecovery':\n",
    "        a_label = 'Ball recovery'\n",
    "    else:\n",
    "        a_label = a\n",
    "    ax.scatter(data_eng[data_eng['event_type'] == a].y, data_eng[data_eng['event_type'] == a].x, \n",
    "    s=10, alpha=0.85, lw=0.85, fc='#FFFFFF', ec='#EA1F29', zorder=3, marker=m, label=a_label)\n",
    "\n",
    "ax.legend(ncol=5, loc='lower center', fontsize=5.5, bbox_to_anchor=[.48, -.1])\n",
    "\n",
    "# -- Add Fancy Logo and Text\n",
    "DC_to_FC = ax.transData.transform\n",
    "FC_to_NFC = fig.transFigure.inverted().transform\n",
    "# -- Take data coordinates and transform them to normalized figure coordinates\n",
    "DC_to_NFC = lambda x: FC_to_NFC(DC_to_FC(x))\n",
    "ax_coords = DC_to_NFC((95,95))\n",
    "ax_size = .07\n",
    "image_ax = fig.add_axes(\n",
    "    [ax_coords[0], ax_coords[1], ax_size, ax_size],\n",
    "    fc='None'\n",
    ")\n",
    "fotmob_url = 'https://cdn-icons-png.flaticon.com/512/491/491560.png'\n",
    "club_icon = Image.open(urllib.request.urlopen(f'{fotmob_url}'))\n",
    "image_ax.imshow(club_icon)\n",
    "image_ax.axis('off')\n",
    "\n",
    "ax_coords = DC_to_NFC((13,95))\n",
    "ax_size = .06\n",
    "image_ax = fig.add_axes(\n",
    "    [ax_coords[0], ax_coords[1], ax_size, ax_size],\n",
    "    fc='None'\n",
    ")\n",
    "fotmob_url = 'https://cdn-icons-png.flaticon.com/512/3013/3013904.png'\n",
    "club_icon = Image.open(urllib.request.urlopen(f'{fotmob_url}'))\n",
    "image_ax.imshow(club_icon)\n",
    "image_ax.axis('off')\n",
    "\n",
    "ax_text(\n",
    "    x=50, y=112,\n",
    "    s='ENGLAND HAD THE MOST RECOVERIES\\nDURING A SINGLE MATCH IN THE OPPOSING FINAL THIRD',\n",
    "    size=8, family='Nippo',\n",
    "    ha='center', ax=ax, va='bottom', weight='bold', textalign='center'\n",
    ")\n",
    "\n",
    "ax_text(\n",
    "    x=50, y=106.5,\n",
    "    s='Successful actions that regained possession in the opposing final third\\nRegular time only | FIFA 2022 WC | Viz by @sonofacorner | Data: Opta',\n",
    "    size=4, family='DM Sans',\n",
    "    ha='center', ax=ax, va='bottom', weight='normal', textalign='center'\n",
    ")\n",
    "\n",
    "plt.savefig(\n",
    "\t\"figures/12232022_most_recoveries.png\",\n",
    "\tdpi = 600,\n",
    "\tfacecolor = \"None\",\n",
    "\tbbox_inches=\"tight\",\n",
    "    edgecolor=\"none\",\n",
    "\ttransparent=True\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Viz 3. Contested Zones\n",
    "\n",
    "For the final visual we'll explore the contested zones for all matches played by the Canadian national team during the World Cup."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_contested = data.copy()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We define a function that cuts and groups the data so we can check who had the most possession on each area."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compute_contested_zones(match_id, team_name, data=data_contested):\n",
    "    pitch = VerticalPitch(\n",
    "        pitch_type='opta',\n",
    "        goal_type='box',\n",
    "        linewidth=1.1,\n",
    "        line_color='black',\n",
    "        pad_top=10,\n",
    "        corner_arcs=True\n",
    "    )\n",
    "    # Here we can get the positional dimensions\n",
    "    pos_x = pitch.dim.positional_x\n",
    "    pos_y = pitch.dim.positional_y\n",
    "    df = data.copy()\n",
    "    df_match = df[df['match_id'] == match_id]\n",
    "    # -- Adjust opposition figures\n",
    "    df_match.loc[:,'x'] = [100 - x if y != team_name else x for x,y in zip(df_match['x'], df_match['team_name'])]\n",
    "    df_match.loc[:,'y'] = [100 - x if y != team_name else x for x,y in zip(df_match['y'], df_match['team_name'])]\n",
    "    df_match = df_match.assign(bins_x = lambda x: pd.cut(x.x, bins=pos_x))\n",
    "    df_match = df_match.assign(bins_y = lambda x: pd.cut(x.y, bins=list(pos_y) + [105]))\n",
    "    df_match_groupped = df_match.groupby(['bins_x', 'bins_y', 'team_name', 'match_id'])['is_touch'].sum().reset_index(name='touches')\n",
    "    df_team = df_match_groupped[df_match_groupped['team_name'] == team_name]\n",
    "    df_oppo = df_match_groupped[df_match_groupped['team_name'] != team_name].rename(columns={'team_name':'opp_name', 'touches':'opp_touches'})\n",
    "    df_plot = pd.merge(df_team, df_oppo, on=['bins_x', 'bins_y'])\n",
    "    df_plot = df_plot.assign(ratio = lambda x: x.touches/(x.touches + x.opp_touches))\n",
    "    df_plot['left_x'] = df_plot['bins_x'].apply(lambda x: x.left).astype(float)\n",
    "    df_plot['right_x'] = df_plot['bins_x'].apply(lambda x: x.right).astype(float)\n",
    "    df_plot['left_y'] = df_plot['bins_y'].apply(lambda x: x.left).astype(float)\n",
    "    df_plot['right_y'] = df_plot['bins_y'].apply(lambda x: x.right).astype(float)\n",
    "    return df_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "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>match_id</th>\n",
       "      <th>match_string</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>20586</th>\n",
       "      <td>1632113</td>\n",
       "      <td>Canada - Morocco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47738</th>\n",
       "      <td>1632108</td>\n",
       "      <td>Belgium - Canada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71171</th>\n",
       "      <td>1632111</td>\n",
       "      <td>Croatia - Canada</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       match_id      match_string\n",
       "20586   1632113  Canada - Morocco\n",
       "47738   1632108  Belgium - Canada\n",
       "71171   1632111  Croatia - Canada"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_contested[data_contested['match_string'].str.contains('Canada')][['match_id', 'match_string']].drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/miguel/Documents/Personal/Son of a corner/soc-viz-of-the-week/.venv/lib/python3.10/site-packages/pandas/core/indexing.py:1773: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_column(ilocs[0], value, pi)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "697"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "compute_contested_zones(1632113, 'Canada')['touches'].sum()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we test our function."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the final step, we define another function that plots our data for a single fixture."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_zone_dominance(ax, match_id, team_name, df=data_contested):\n",
    "    data_plot = df.copy()\n",
    "    data_plot = compute_contested_zones(match_id, team_name, data=data_plot)\n",
    "    pitch = VerticalPitch(\n",
    "        pitch_type='opta',\n",
    "        goal_type='box',\n",
    "        linewidth=1.1,\n",
    "        line_color='black',\n",
    "        pad_top=10,\n",
    "        corner_arcs=True\n",
    "    )\n",
    "    pitch.draw(ax = ax)\n",
    "\n",
    "    # Here we can get the positional dimensions\n",
    "    pos_x = pitch.dim.positional_x\n",
    "    pos_y = pitch.dim.positional_y\n",
    "\n",
    "    for index_y, y in enumerate(pos_y):\n",
    "        for index_x, x in enumerate(pos_x):\n",
    "            try:\n",
    "                lower_y = pos_y[index_y]\n",
    "                lower_x = pos_x[index_x]\n",
    "                upper_y = pos_y[index_y + 1]\n",
    "                upper_x = pos_x[index_x + 1]\n",
    "                condition_bounds = (data_plot['left_x'] >= lower_x) & (data_plot['right_x'] <= upper_x) & (data_plot['left_y'] >= lower_y) & (data_plot['right_y'] <= upper_y)\n",
    "                data_point = data_plot[condition_bounds]['ratio'].iloc[0]\n",
    "                if data_point > .55:\n",
    "                    color = '#3E5641'\n",
    "                elif data_point < .45:\n",
    "                    color = '#461220'\n",
    "                else:\n",
    "                    color = '#FCB9B2'\n",
    "                ax.fill_between(\n",
    "                    x=[lower_y, upper_y],\n",
    "                    y1=lower_x,\n",
    "                    y2=upper_x,\n",
    "                    color=color,\n",
    "                    zorder=0,\n",
    "                    alpha=0.75,\n",
    "                    ec='None'\n",
    "                )\n",
    "            except:\n",
    "                continue\n",
    "\n",
    "    ax_text(\n",
    "        x=100,y=115,\n",
    "        s=f\"{data_plot['team_name'].iloc[0].upper()} vs. {data_plot['opp_name'].iloc[0].upper()}\",\n",
    "        color='black',\n",
    "        ha='left',\n",
    "        va='center',\n",
    "        weight='bold',\n",
    "        size=10,\n",
    "        ax=ax\n",
    "    )\n",
    "\n",
    "    # Remember that we need to invert the axis!!\n",
    "    for x in pos_x[1:-1]:\n",
    "        ax.plot([pos_y[0], pos_y[-1]], [x,x], color='black', ls='dashed', zorder=0, lw=0.3, alpha=0.85)\n",
    "    for y in pos_y[1:-1]:\n",
    "        ax.plot([y,y], [pos_x[0], pos_x[-1]], color='black', ls='dashed', zorder=0, lw=0.3, alpha=0.85)\n",
    "\n",
    "    return ax"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Time to visualize the data!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 3600x1200 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(nrows=1, ncols=3, figsize=(12,4), dpi=300)\n",
    "plot_zone_dominance(axs[0], 1632108, 'Canada')\n",
    "plot_zone_dominance(axs[1], 1632111, 'Canada')\n",
    "plot_zone_dominance(axs[2], 1632113, 'Canada')\n",
    "\n",
    "plt.subplots_adjust(wspace=.01)\n",
    "other_flags = [\n",
    "    'https://cdn-icons-png.flaticon.com/512/317/317098.png',\n",
    "    'https://cdn-icons-png.flaticon.com/512/164/164946.png',\n",
    "    'https://cdn-icons-png.flaticon.com/512/317/317251.png',\n",
    "]\n",
    "for i, flag in enumerate(other_flags):\n",
    "    # -- Add Fancy Logo and Text\n",
    "    DC_to_FC = axs[i].transData.transform\n",
    "    FC_to_NFC = fig.transFigure.inverted().transform\n",
    "    # -- Take data coordinates and transform them to normalized figure coordinates\n",
    "    DC_to_NFC = lambda x: FC_to_NFC(DC_to_FC(x))\n",
    "    ax_coords = DC_to_NFC((90,-8))\n",
    "    ax_size = .055\n",
    "    image_ax = fig.add_axes(\n",
    "        [ax_coords[0], ax_coords[1], ax_size, ax_size],\n",
    "        fc='None'\n",
    "    )\n",
    "    fotmob_url = 'https://cdn-icons-png.flaticon.com/512/317/317142.png'\n",
    "    club_icon = Image.open(urllib.request.urlopen(f'{fotmob_url}'))\n",
    "    image_ax.imshow(club_icon)\n",
    "    image_ax.axis('off')\n",
    "    ax_coords = DC_to_NFC((90,100))\n",
    "    ax_size = .055\n",
    "    image_ax = fig.add_axes(\n",
    "        [ax_coords[0], ax_coords[1], ax_size, ax_size],\n",
    "        fc='None'\n",
    "    )\n",
    "    club_icon = Image.open(urllib.request.urlopen(f'{flag}'))\n",
    "    image_ax.imshow(club_icon)\n",
    "    image_ax.axis('off')\n",
    "\n",
    "\n",
    "fig_text(\n",
    "    x=0.17, y=1.1,\n",
    "    s='ZONES OF CONTROL FOR CANADA',\n",
    "    size=18, family='Nippo',\n",
    "    va='bottom', weight='bold'\n",
    ")\n",
    "\n",
    "bbox_pad = 1.5\n",
    "bboxprops = {'linewidth': 0, 'pad': bbox_pad}\n",
    "\n",
    "\n",
    "fig_text(\n",
    "    x=0.17, y=1.0,\n",
    "    s='AREAS WHERE CANADA HAD <MORE THAN 55% OF TOUCHES>, <LESS THAN 45% OF TOUCHES> AND <CONTESTED AREAS>.\\nFIFA 2022 WC | VIZ BY @sonofacorner | DATA: OPTA',\n",
    "    size=7, family='DM Sans',\n",
    "    va='bottom', weight='normal',\n",
    "        highlight_textprops=[\n",
    "        {'color': 'w', 'weight': 'bold', 'bbox': {'facecolor':'#3E5641', **bboxprops}},\n",
    "        {'color': 'w', 'weight': 'bold', 'bbox': {'facecolor':'#461220', **bboxprops}},\n",
    "        {'color': 'black', 'weight': 'bold', 'bbox': {'facecolor':'#FCB9B2', **bboxprops}},\n",
    "    ]\n",
    ")\n",
    "\n",
    "plt.savefig(\n",
    "\t\"figures/12232022_control_zones.png\",\n",
    "\tdpi = 600,\n",
    "\tfacecolor = \"None\",\n",
    "\tbbox_inches=\"tight\",\n",
    "    edgecolor=\"none\",\n",
    "\ttransparent=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.5 ('.venv': venv)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5 (main, Oct 28 2022, 13:53:03) [Clang 14.0.0 (clang-1400.0.29.102)]"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "aca485b89563c2a75260df8a2edb95eb97ae5cb9672718c4acedaab4d644be16"
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 },
 "nbformat": 4,
 "nbformat_minor": 2
}