{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import the libraries and packages we need\n",
    "import numpy as np\n",
    "from sklearn.linear_model import LinearRegression\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import highlight_text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the famous import font code to use Andale Mono\n",
    "import matplotlib.font_manager\n",
    "from IPython.core.display import HTML\n",
    "\n",
    "def make_html(fontname):\n",
    "    return \"<p>{font}: <span style='font-family:{font}; font-size: 24px;'>{font}</p>\".format(font=fontname)\n",
    "\n",
    "code = \"\\n\".join([make_html(font) for font in sorted(set([f.name for f in matplotlib.font_manager.fontManager.ttflist]))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('1995_96 - 2020 Premier league standings.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>Rk</th>\n",
       "      <th>Squad</th>\n",
       "      <th>MP</th>\n",
       "      <th>W</th>\n",
       "      <th>D</th>\n",
       "      <th>L</th>\n",
       "      <th>GF</th>\n",
       "      <th>GA</th>\n",
       "      <th>Pts</th>\n",
       "      <th>Attendance</th>\n",
       "      <th>Top Team Scorer</th>\n",
       "      <th>Goalkeeper</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>73</td>\n",
       "      <td>35</td>\n",
       "      <td>82</td>\n",
       "      <td>41001</td>\n",
       "      <td>Eric Cantona - 14</td>\n",
       "      <td>Peter Schmeichel</td>\n",
       "      <td>1996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Newcastle Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>66</td>\n",
       "      <td>37</td>\n",
       "      <td>78</td>\n",
       "      <td>36501</td>\n",
       "      <td>Les Ferdinand - 25</td>\n",
       "      <td>Shaka Hislop</td>\n",
       "      <td>1996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>38</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>70</td>\n",
       "      <td>34</td>\n",
       "      <td>71</td>\n",
       "      <td>39553</td>\n",
       "      <td>Robbie Fowler - 28</td>\n",
       "      <td>David James</td>\n",
       "      <td>1996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>38</td>\n",
       "      <td>18</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>52</td>\n",
       "      <td>35</td>\n",
       "      <td>63</td>\n",
       "      <td>37492</td>\n",
       "      <td>Dwight Yorke - 17</td>\n",
       "      <td>Mark Bosnich</td>\n",
       "      <td>1996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>38</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>49</td>\n",
       "      <td>32</td>\n",
       "      <td>63</td>\n",
       "      <td>32614</td>\n",
       "      <td>Ian Wright - 15</td>\n",
       "      <td>David Seaman</td>\n",
       "      <td>1996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>16</td>\n",
       "      <td>West Ham</td>\n",
       "      <td>38</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>19</td>\n",
       "      <td>49</td>\n",
       "      <td>62</td>\n",
       "      <td>39</td>\n",
       "      <td>44155</td>\n",
       "      <td>Michail Antonio - 10</td>\n",
       "      <td>Łukasz Fabiański</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>17</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>38</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>41</td>\n",
       "      <td>67</td>\n",
       "      <td>35</td>\n",
       "      <td>28505</td>\n",
       "      <td>Jack Grealish - 8</td>\n",
       "      <td>Tom Heaton</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>18</td>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>38</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>65</td>\n",
       "      <td>34</td>\n",
       "      <td>7745</td>\n",
       "      <td>Callum Wilson - 8</td>\n",
       "      <td>Aaron Ramsdale</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>19</td>\n",
       "      <td>Watford</td>\n",
       "      <td>38</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>20</td>\n",
       "      <td>36</td>\n",
       "      <td>64</td>\n",
       "      <td>34</td>\n",
       "      <td>15353</td>\n",
       "      <td>Troy Deeney - 10</td>\n",
       "      <td>Ben Foster</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>20</td>\n",
       "      <td>Norwich City</td>\n",
       "      <td>38</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>27</td>\n",
       "      <td>26</td>\n",
       "      <td>75</td>\n",
       "      <td>21</td>\n",
       "      <td>19913</td>\n",
       "      <td>Teemu Pukki - 11</td>\n",
       "      <td>Tim Krul</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>500 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Rk           Squad  MP   W   D   L  GF  GA  Pts  Attendance  \\\n",
       "0     1  Manchester Utd  38  25   7   6  73  35   82       41001   \n",
       "1     2   Newcastle Utd  38  24   6   8  66  37   78       36501   \n",
       "2     3       Liverpool  38  20  11   7  70  34   71       39553   \n",
       "3     4     Aston Villa  38  18   9  11  52  35   63       37492   \n",
       "4     5         Arsenal  38  17  12   9  49  32   63       32614   \n",
       "..   ..             ...  ..  ..  ..  ..  ..  ..  ...         ...   \n",
       "495  16        West Ham  38  10   9  19  49  62   39       44155   \n",
       "496  17     Aston Villa  38   9   8  21  41  67   35       28505   \n",
       "497  18     Bournemouth  38   9   7  22  40  65   34        7745   \n",
       "498  19         Watford  38   8  10  20  36  64   34       15353   \n",
       "499  20    Norwich City  38   5   6  27  26  75   21       19913   \n",
       "\n",
       "          Top Team Scorer        Goalkeeper  Year  \n",
       "0       Eric Cantona - 14  Peter Schmeichel  1996  \n",
       "1      Les Ferdinand - 25      Shaka Hislop  1996  \n",
       "2      Robbie Fowler - 28       David James  1996  \n",
       "3       Dwight Yorke - 17      Mark Bosnich  1996  \n",
       "4         Ian Wright - 15      David Seaman  1996  \n",
       "..                    ...               ...   ...  \n",
       "495  Michail Antonio - 10  Łukasz Fabiański  2020  \n",
       "496     Jack Grealish - 8        Tom Heaton  2020  \n",
       "497     Callum Wilson - 8    Aaron Ramsdale  2020  \n",
       "498      Troy Deeney - 10        Ben Foster  2020  \n",
       "499      Teemu Pukki - 11          Tim Krul  2020  \n",
       "\n",
       "[500 rows x 13 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['GD'] = df['GF'] - df['GA']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "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>Rk</th>\n",
       "      <th>Squad</th>\n",
       "      <th>MP</th>\n",
       "      <th>W</th>\n",
       "      <th>D</th>\n",
       "      <th>L</th>\n",
       "      <th>GF</th>\n",
       "      <th>GA</th>\n",
       "      <th>Pts</th>\n",
       "      <th>Attendance</th>\n",
       "      <th>Top Team Scorer</th>\n",
       "      <th>Goalkeeper</th>\n",
       "      <th>Year</th>\n",
       "      <th>GD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>73</td>\n",
       "      <td>35</td>\n",
       "      <td>82</td>\n",
       "      <td>41001</td>\n",
       "      <td>Eric Cantona - 14</td>\n",
       "      <td>Peter Schmeichel</td>\n",
       "      <td>1996</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Newcastle Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>66</td>\n",
       "      <td>37</td>\n",
       "      <td>78</td>\n",
       "      <td>36501</td>\n",
       "      <td>Les Ferdinand - 25</td>\n",
       "      <td>Shaka Hislop</td>\n",
       "      <td>1996</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>38</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>70</td>\n",
       "      <td>34</td>\n",
       "      <td>71</td>\n",
       "      <td>39553</td>\n",
       "      <td>Robbie Fowler - 28</td>\n",
       "      <td>David James</td>\n",
       "      <td>1996</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>38</td>\n",
       "      <td>18</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>52</td>\n",
       "      <td>35</td>\n",
       "      <td>63</td>\n",
       "      <td>37492</td>\n",
       "      <td>Dwight Yorke - 17</td>\n",
       "      <td>Mark Bosnich</td>\n",
       "      <td>1996</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>38</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>49</td>\n",
       "      <td>32</td>\n",
       "      <td>63</td>\n",
       "      <td>32614</td>\n",
       "      <td>Ian Wright - 15</td>\n",
       "      <td>David Seaman</td>\n",
       "      <td>1996</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>16</td>\n",
       "      <td>West Ham</td>\n",
       "      <td>38</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>19</td>\n",
       "      <td>49</td>\n",
       "      <td>62</td>\n",
       "      <td>39</td>\n",
       "      <td>44155</td>\n",
       "      <td>Michail Antonio - 10</td>\n",
       "      <td>Łukasz Fabiański</td>\n",
       "      <td>2020</td>\n",
       "      <td>-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>17</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>38</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>41</td>\n",
       "      <td>67</td>\n",
       "      <td>35</td>\n",
       "      <td>28505</td>\n",
       "      <td>Jack Grealish - 8</td>\n",
       "      <td>Tom Heaton</td>\n",
       "      <td>2020</td>\n",
       "      <td>-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>18</td>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>38</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>65</td>\n",
       "      <td>34</td>\n",
       "      <td>7745</td>\n",
       "      <td>Callum Wilson - 8</td>\n",
       "      <td>Aaron Ramsdale</td>\n",
       "      <td>2020</td>\n",
       "      <td>-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>19</td>\n",
       "      <td>Watford</td>\n",
       "      <td>38</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>20</td>\n",
       "      <td>36</td>\n",
       "      <td>64</td>\n",
       "      <td>34</td>\n",
       "      <td>15353</td>\n",
       "      <td>Troy Deeney - 10</td>\n",
       "      <td>Ben Foster</td>\n",
       "      <td>2020</td>\n",
       "      <td>-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>20</td>\n",
       "      <td>Norwich City</td>\n",
       "      <td>38</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>27</td>\n",
       "      <td>26</td>\n",
       "      <td>75</td>\n",
       "      <td>21</td>\n",
       "      <td>19913</td>\n",
       "      <td>Teemu Pukki - 11</td>\n",
       "      <td>Tim Krul</td>\n",
       "      <td>2020</td>\n",
       "      <td>-49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>500 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Rk           Squad  MP   W   D   L  GF  GA  Pts  Attendance  \\\n",
       "0     1  Manchester Utd  38  25   7   6  73  35   82       41001   \n",
       "1     2   Newcastle Utd  38  24   6   8  66  37   78       36501   \n",
       "2     3       Liverpool  38  20  11   7  70  34   71       39553   \n",
       "3     4     Aston Villa  38  18   9  11  52  35   63       37492   \n",
       "4     5         Arsenal  38  17  12   9  49  32   63       32614   \n",
       "..   ..             ...  ..  ..  ..  ..  ..  ..  ...         ...   \n",
       "495  16        West Ham  38  10   9  19  49  62   39       44155   \n",
       "496  17     Aston Villa  38   9   8  21  41  67   35       28505   \n",
       "497  18     Bournemouth  38   9   7  22  40  65   34        7745   \n",
       "498  19         Watford  38   8  10  20  36  64   34       15353   \n",
       "499  20    Norwich City  38   5   6  27  26  75   21       19913   \n",
       "\n",
       "          Top Team Scorer        Goalkeeper  Year  GD  \n",
       "0       Eric Cantona - 14  Peter Schmeichel  1996  38  \n",
       "1      Les Ferdinand - 25      Shaka Hislop  1996  29  \n",
       "2      Robbie Fowler - 28       David James  1996  36  \n",
       "3       Dwight Yorke - 17      Mark Bosnich  1996  17  \n",
       "4         Ian Wright - 15      David Seaman  1996  17  \n",
       "..                    ...               ...   ...  ..  \n",
       "495  Michail Antonio - 10  Łukasz Fabiański  2020 -13  \n",
       "496     Jack Grealish - 8        Tom Heaton  2020 -26  \n",
       "497     Callum Wilson - 8    Aaron Ramsdale  2020 -25  \n",
       "498      Troy Deeney - 10        Ben Foster  2020 -28  \n",
       "499      Teemu Pukki - 11          Tim Krul  2020 -49  \n",
       "\n",
       "[500 rows x 14 columns]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "y=df.Rk\n",
    "x=df.GD.values.reshape(-1,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(500, 1)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(500,)"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = LinearRegression().fit(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "r_sq = model.score(x,y)\n",
    "intercept = model.intercept_\n",
    "slope = model.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = intercept + slope*x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(10,10))\n",
    "fig.set_facecolor('#f3edd3')\n",
    "ax.patch.set_facecolor('#f3edd3')\n",
    "\n",
    "ax.grid(ls='dotted',lw=.5,color='lightgrey',axis='y',zorder=1)\n",
    "spines = ['top','right']\n",
    "for i in spines:\n",
    "    if i in spines:\n",
    "        ax.spines[i].set_visible(False)\n",
    "\n",
    "#plot data\n",
    "plt.scatter(x,y,alpha=.7)\n",
    "plt.plot(x,y_pred,c='red',linestyle='--',dashes=(5,5))\n",
    "\n",
    "\n",
    "plt.ylim(.5,20.5)\n",
    "plt.gca().invert_yaxis()\n",
    "\n",
    "plt.yticks([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20])\n",
    "\n",
    "plt.xlabel('Goal Differential',fontsize=18,fontname='Andale Mono')\n",
    "plt.ylabel('Final Leage Rank',fontsize=18,fontname='Andale Mono')\n",
    "plt.title('Evaluating the Relationship Between Goal Differential and League Table Rank\\nPremier League Seasons 1995/96 - 2019/2020',ha='center',fontsize=16,fontname='Andale Mono')\n",
    "\n",
    "#annotate teams\n",
    "ax.annotate(xy=(79,.7),text='Man City,2017/18')\n",
    "ax.annotate(xy=(-75,19.5),text='Derby County,2007/08')\n",
    "\n",
    "\n",
    "#analysis\n",
    "ax.annotate(xy=(-65,1.65),text=f'R-Squared = {round(r_sq,2)}\\nThe regression equation: y = {intercept} + {slope} * x ',fontname='Andale Mono')\n",
    "#ax.annotate(xy=(10,9),text='No team that finished 9th underperformed the model',fontname='Andale Mono')\n",
    "#ax.annotate(xy=(-5,17),text='No team that finished 17th overperformed the model',fontname='Andale Mono')\n",
    "ax.annotate(xy=(-65,3),text=f'The model fits the data very well.\\nInterestingly enough, the spread of all the data points\\nfor each rank is fairly small.',fontname='Andale Mono')\n",
    "\n",
    "plt.savefig('premline.png',dpi=300,bbox_inches = 'tight',facecolor='#f3edd3')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "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>Rk</th>\n",
       "      <th>Squad</th>\n",
       "      <th>MP</th>\n",
       "      <th>W</th>\n",
       "      <th>D</th>\n",
       "      <th>L</th>\n",
       "      <th>GF</th>\n",
       "      <th>GA</th>\n",
       "      <th>Pts</th>\n",
       "      <th>Attendance</th>\n",
       "      <th>Top Team Scorer</th>\n",
       "      <th>Goalkeeper</th>\n",
       "      <th>Year</th>\n",
       "      <th>GD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>73</td>\n",
       "      <td>35</td>\n",
       "      <td>82</td>\n",
       "      <td>41001</td>\n",
       "      <td>Eric Cantona - 14</td>\n",
       "      <td>Peter Schmeichel</td>\n",
       "      <td>1996</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>38</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>106</td>\n",
       "      <td>27</td>\n",
       "      <td>100</td>\n",
       "      <td>54070</td>\n",
       "      <td>Sergio Agüero - 21</td>\n",
       "      <td>Ederson</td>\n",
       "      <td>2018</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>22</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>80</td>\n",
       "      <td>37</td>\n",
       "      <td>79</td>\n",
       "      <td>55188</td>\n",
       "      <td>Dwight Yorke - 18</td>\n",
       "      <td>Peter Schmeichel</td>\n",
       "      <td>1999</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>1</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>38</td>\n",
       "      <td>30</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>85</td>\n",
       "      <td>33</td>\n",
       "      <td>93</td>\n",
       "      <td>41508</td>\n",
       "      <td>Diego Costa - 20</td>\n",
       "      <td>Thibaut Courtois</td>\n",
       "      <td>2017</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>97</td>\n",
       "      <td>45</td>\n",
       "      <td>91</td>\n",
       "      <td>55107</td>\n",
       "      <td>Dwight Yorke - 20</td>\n",
       "      <td>Mark Bosnich</td>\n",
       "      <td>2000</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>1</td>\n",
       "      <td>Leicester City</td>\n",
       "      <td>38</td>\n",
       "      <td>23</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>68</td>\n",
       "      <td>36</td>\n",
       "      <td>81</td>\n",
       "      <td>31998</td>\n",
       "      <td>Jamie Vardy - 24</td>\n",
       "      <td>Kasper Schmeichel</td>\n",
       "      <td>2016</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>24</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>79</td>\n",
       "      <td>31</td>\n",
       "      <td>80</td>\n",
       "      <td>67489</td>\n",
       "      <td>Teddy Sheringham - 15</td>\n",
       "      <td>Fabien Barthez</td>\n",
       "      <td>2001</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>1</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>38</td>\n",
       "      <td>26</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>73</td>\n",
       "      <td>32</td>\n",
       "      <td>87</td>\n",
       "      <td>41546</td>\n",
       "      <td>Diego Costa - 20</td>\n",
       "      <td>Thibaut Courtois</td>\n",
       "      <td>2015</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>1</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>38</td>\n",
       "      <td>26</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>79</td>\n",
       "      <td>36</td>\n",
       "      <td>87</td>\n",
       "      <td>38055</td>\n",
       "      <td>Thierry Henry - 24</td>\n",
       "      <td>David Seaman</td>\n",
       "      <td>2002</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>38</td>\n",
       "      <td>27</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>102</td>\n",
       "      <td>37</td>\n",
       "      <td>86</td>\n",
       "      <td>47075</td>\n",
       "      <td>Yaya Touré - 20</td>\n",
       "      <td>Joe Hart</td>\n",
       "      <td>2014</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>74</td>\n",
       "      <td>34</td>\n",
       "      <td>83</td>\n",
       "      <td>67602</td>\n",
       "      <td>Ruud van Nistelrooy - 25</td>\n",
       "      <td>Fabien Barthez</td>\n",
       "      <td>2003</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>86</td>\n",
       "      <td>43</td>\n",
       "      <td>89</td>\n",
       "      <td>75530</td>\n",
       "      <td>Robin van Persie - 26</td>\n",
       "      <td>David de Gea</td>\n",
       "      <td>2013</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>1</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>38</td>\n",
       "      <td>26</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>26</td>\n",
       "      <td>90</td>\n",
       "      <td>38079</td>\n",
       "      <td>Thierry Henry - 30</td>\n",
       "      <td>Jens Lehmann</td>\n",
       "      <td>2004</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>38</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>93</td>\n",
       "      <td>29</td>\n",
       "      <td>89</td>\n",
       "      <td>47045</td>\n",
       "      <td>Sergio Agüero - 23</td>\n",
       "      <td>Joe Hart</td>\n",
       "      <td>2012</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>1</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>38</td>\n",
       "      <td>29</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>72</td>\n",
       "      <td>15</td>\n",
       "      <td>95</td>\n",
       "      <td>41870</td>\n",
       "      <td>Frank Lampard - 13</td>\n",
       "      <td>Petr Čech</td>\n",
       "      <td>2005</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>23</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>78</td>\n",
       "      <td>37</td>\n",
       "      <td>80</td>\n",
       "      <td>75109</td>\n",
       "      <td>Dimitar Berbatov - 20</td>\n",
       "      <td>Edwin van der Sar</td>\n",
       "      <td>2011</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>1</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>38</td>\n",
       "      <td>27</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>103</td>\n",
       "      <td>32</td>\n",
       "      <td>86</td>\n",
       "      <td>41423</td>\n",
       "      <td>Didier Drogba - 29</td>\n",
       "      <td>Petr Čech</td>\n",
       "      <td>2010</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>1</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>38</td>\n",
       "      <td>29</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>72</td>\n",
       "      <td>22</td>\n",
       "      <td>91</td>\n",
       "      <td>41902</td>\n",
       "      <td>Frank Lampard - 16</td>\n",
       "      <td>Petr Čech</td>\n",
       "      <td>2006</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>68</td>\n",
       "      <td>24</td>\n",
       "      <td>90</td>\n",
       "      <td>75304</td>\n",
       "      <td>Cristiano Ronaldo - 18</td>\n",
       "      <td>Edwin van der Sar</td>\n",
       "      <td>2009</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>83</td>\n",
       "      <td>27</td>\n",
       "      <td>89</td>\n",
       "      <td>75826</td>\n",
       "      <td>Cristiano Ronaldo - 17</td>\n",
       "      <td>Edwin van der Sar</td>\n",
       "      <td>2007</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>1</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>38</td>\n",
       "      <td>23</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>68</td>\n",
       "      <td>33</td>\n",
       "      <td>78</td>\n",
       "      <td>38053</td>\n",
       "      <td>Dennis Bergkamp - 16</td>\n",
       "      <td>David Seaman</td>\n",
       "      <td>1998</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>38</td>\n",
       "      <td>32</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>95</td>\n",
       "      <td>23</td>\n",
       "      <td>98</td>\n",
       "      <td>54130</td>\n",
       "      <td>Sergio Agüero - 21</td>\n",
       "      <td>Ederson</td>\n",
       "      <td>2019</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>80</td>\n",
       "      <td>22</td>\n",
       "      <td>87</td>\n",
       "      <td>75691</td>\n",
       "      <td>Cristiano Ronaldo - 31</td>\n",
       "      <td>Edwin van der Sar</td>\n",
       "      <td>2008</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>1</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>38</td>\n",
       "      <td>32</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>85</td>\n",
       "      <td>33</td>\n",
       "      <td>99</td>\n",
       "      <td>41955</td>\n",
       "      <td>Mohamed Salah - 19</td>\n",
       "      <td>Alisson</td>\n",
       "      <td>2020</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>21</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>76</td>\n",
       "      <td>44</td>\n",
       "      <td>75</td>\n",
       "      <td>55081</td>\n",
       "      <td>Ole Gunnar Solskjær - 18</td>\n",
       "      <td>Peter Schmeichel</td>\n",
       "      <td>1997</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>2</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>38</td>\n",
       "      <td>26</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>102</td>\n",
       "      <td>35</td>\n",
       "      <td>81</td>\n",
       "      <td>37097</td>\n",
       "      <td>Raheem Sterling - 20</td>\n",
       "      <td>Ederson</td>\n",
       "      <td>2020</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>2</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>38</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>67</td>\n",
       "      <td>30</td>\n",
       "      <td>79</td>\n",
       "      <td>41234</td>\n",
       "      <td>Jimmy Floyd Hasselbaink - 13</td>\n",
       "      <td>Carlo Cudicini</td>\n",
       "      <td>2004</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>2</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>38</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>65</td>\n",
       "      <td>36</td>\n",
       "      <td>71</td>\n",
       "      <td>59944</td>\n",
       "      <td>Olivier Giroud - 16</td>\n",
       "      <td>Petr Čech</td>\n",
       "      <td>2016</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>2</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>38</td>\n",
       "      <td>23</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>66</td>\n",
       "      <td>34</td>\n",
       "      <td>78</td>\n",
       "      <td>46974</td>\n",
       "      <td>Edin Džeko - 14</td>\n",
       "      <td>Joe Hart</td>\n",
       "      <td>2013</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>2</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>38</td>\n",
       "      <td>25</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>68</td>\n",
       "      <td>28</td>\n",
       "      <td>81</td>\n",
       "      <td>74976</td>\n",
       "      <td>Romelu Lukaku - 16</td>\n",
       "      <td>David de Gea</td>\n",
       "      <td>2018</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Rk            Squad  MP   W   D  L   GF  GA  Pts  Attendance  \\\n",
       "0     1   Manchester Utd  38  25   7  6   73  35   82       41001   \n",
       "440   1  Manchester City  38  32   4  2  106  27  100       54070   \n",
       "60    1   Manchester Utd  38  22  13  3   80  37   79       55188   \n",
       "420   1          Chelsea  38  30   3  5   85  33   93       41508   \n",
       "80    1   Manchester Utd  38  28   7  3   97  45   91       55107   \n",
       "400   1   Leicester City  38  23  12  3   68  36   81       31998   \n",
       "100   1   Manchester Utd  38  24   8  6   79  31   80       67489   \n",
       "380   1          Chelsea  38  26   9  3   73  32   87       41546   \n",
       "120   1          Arsenal  38  26   9  3   79  36   87       38055   \n",
       "360   1  Manchester City  38  27   5  6  102  37   86       47075   \n",
       "140   1   Manchester Utd  38  25   8  5   74  34   83       67602   \n",
       "340   1   Manchester Utd  38  28   5  5   86  43   89       75530   \n",
       "160   1          Arsenal  38  26  12  0   73  26   90       38079   \n",
       "320   1  Manchester City  38  28   5  5   93  29   89       47045   \n",
       "180   1          Chelsea  38  29   8  1   72  15   95       41870   \n",
       "300   1   Manchester Utd  38  23  11  4   78  37   80       75109   \n",
       "280   1          Chelsea  38  27   5  6  103  32   86       41423   \n",
       "200   1          Chelsea  38  29   4  5   72  22   91       41902   \n",
       "260   1   Manchester Utd  38  28   6  4   68  24   90       75304   \n",
       "220   1   Manchester Utd  38  28   5  5   83  27   89       75826   \n",
       "40    1          Arsenal  38  23   9  6   68  33   78       38053   \n",
       "460   1  Manchester City  38  32   2  4   95  23   98       54130   \n",
       "240   1   Manchester Utd  38  27   6  5   80  22   87       75691   \n",
       "480   1        Liverpool  38  32   3  3   85  33   99       41955   \n",
       "20    1   Manchester Utd  38  21  12  5   76  44   75       55081   \n",
       "481   2  Manchester City  38  26   3  9  102  35   81       37097   \n",
       "161   2          Chelsea  38  24   7  7   67  30   79       41234   \n",
       "401   2          Arsenal  38  20  11  7   65  36   71       59944   \n",
       "341   2  Manchester City  38  23   9  6   66  34   78       46974   \n",
       "441   2   Manchester Utd  38  25   6  7   68  28   81       74976   \n",
       "\n",
       "                  Top Team Scorer         Goalkeeper  Year  GD  \n",
       "0               Eric Cantona - 14   Peter Schmeichel  1996  38  \n",
       "440            Sergio Agüero - 21            Ederson  2018  79  \n",
       "60              Dwight Yorke - 18   Peter Schmeichel  1999  43  \n",
       "420              Diego Costa - 20   Thibaut Courtois  2017  52  \n",
       "80              Dwight Yorke - 20       Mark Bosnich  2000  52  \n",
       "400              Jamie Vardy - 24  Kasper Schmeichel  2016  32  \n",
       "100         Teddy Sheringham - 15     Fabien Barthez  2001  48  \n",
       "380              Diego Costa - 20   Thibaut Courtois  2015  41  \n",
       "120            Thierry Henry - 24       David Seaman  2002  43  \n",
       "360               Yaya Touré - 20           Joe Hart  2014  65  \n",
       "140      Ruud van Nistelrooy - 25     Fabien Barthez  2003  40  \n",
       "340         Robin van Persie - 26       David de Gea  2013  43  \n",
       "160            Thierry Henry - 30       Jens Lehmann  2004  47  \n",
       "320            Sergio Agüero - 23           Joe Hart  2012  64  \n",
       "180            Frank Lampard - 13          Petr Čech  2005  57  \n",
       "300         Dimitar Berbatov - 20  Edwin van der Sar  2011  41  \n",
       "280            Didier Drogba - 29          Petr Čech  2010  71  \n",
       "200            Frank Lampard - 16          Petr Čech  2006  50  \n",
       "260        Cristiano Ronaldo - 18  Edwin van der Sar  2009  44  \n",
       "220        Cristiano Ronaldo - 17  Edwin van der Sar  2007  56  \n",
       "40           Dennis Bergkamp - 16       David Seaman  1998  35  \n",
       "460            Sergio Agüero - 21            Ederson  2019  72  \n",
       "240        Cristiano Ronaldo - 31  Edwin van der Sar  2008  58  \n",
       "480            Mohamed Salah - 19            Alisson  2020  52  \n",
       "20       Ole Gunnar Solskjær - 18   Peter Schmeichel  1997  32  \n",
       "481          Raheem Sterling - 20            Ederson  2020  67  \n",
       "161  Jimmy Floyd Hasselbaink - 13     Carlo Cudicini  2004  37  \n",
       "401           Olivier Giroud - 16          Petr Čech  2016  29  \n",
       "341               Edin Džeko - 14           Joe Hart  2013  32  \n",
       "441            Romelu Lukaku - 16       David de Gea  2018  40  "
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values(by='Rk',ascending=True).head(30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}