Elastic Net Model to find out the relation between shots by a player and the goals scored.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import ElasticNet\n",
    "from sklearn import metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [],
   "source": [
    "shots = pd.read_csv(\"La Liga 2020-21 shot stats - Sheet1.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Player</th>\n",
       "      <th>Nation</th>\n",
       "      <th>Pos</th>\n",
       "      <th>Squad</th>\n",
       "      <th>Age</th>\n",
       "      <th>Born</th>\n",
       "      <th>90s</th>\n",
       "      <th>Gls</th>\n",
       "      <th>Sh</th>\n",
       "      <th>SoT</th>\n",
       "      <th>SoT%</th>\n",
       "      <th>Sh/90</th>\n",
       "      <th>SoT/90</th>\n",
       "      <th>G/Sh</th>\n",
       "      <th>G/SoT</th>\n",
       "      <th>Dist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sabit Abdulai\\Sabit-Abdulai</td>\n",
       "      <td>gh GHA</td>\n",
       "      <td>MF</td>\n",
       "      <td>Getafe</td>\n",
       "      <td>21-341</td>\n",
       "      <td>1999</td>\n",
       "      <td>0.1</td>\n",
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       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Marcos Acuña\\Marcos-Acuna</td>\n",
       "      <td>ar ARG</td>\n",
       "      <td>DF</td>\n",
       "      <td>Sevilla</td>\n",
       "      <td>29-171</td>\n",
       "      <td>1991</td>\n",
       "      <td>19.5</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>15.4</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.5</td>\n",
       "      <td>20.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bobby Adekanye\\Bobby-Adekanye</td>\n",
       "      <td>nl NED</td>\n",
       "      <td>FWMF</td>\n",
       "      <td>Cádiz</td>\n",
       "      <td>22-062</td>\n",
       "      <td>1999</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.5</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Martin Agirregabiria\\Martin-Agirregabiria</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>DFMF</td>\n",
       "      <td>Alavés</td>\n",
       "      <td>24-342</td>\n",
       "      <td>1996</td>\n",
       "      <td>11.8</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Joseph Aidoo\\Joseph-Aidoo</td>\n",
       "      <td>gh GHA</td>\n",
       "      <td>DF</td>\n",
       "      <td>Celta Vigo</td>\n",
       "      <td>25-200</td>\n",
       "      <td>1995</td>\n",
       "      <td>11.6</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.6</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>Joseba Zaldúa\\Joseba-Zaldua</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>DF</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>28-297</td>\n",
       "      <td>1992</td>\n",
       "      <td>5.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.4</td>\n",
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       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>Oier Zarraga\\Oier-Zarraga</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>MF</td>\n",
       "      <td>Athletic Club</td>\n",
       "      <td>22-103</td>\n",
       "      <td>1999</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>Igor Zubeldia\\Igor-Zubeldia</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>DF</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>24-018</td>\n",
       "      <td>1997</td>\n",
       "      <td>19.5</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>Martín Zubimendi\\Martin-Zubimendi</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>MF</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>22-074</td>\n",
       "      <td>1999</td>\n",
       "      <td>14.3</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>16.7</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>Martin Ødegaard\\Martin-Odegaard</td>\n",
       "      <td>no NOR</td>\n",
       "      <td>MFFW</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>22-121</td>\n",
       "      <td>1998</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.15</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>563 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Player  Nation   Pos          Squad  \\\n",
       "0                  Sabit Abdulai\\Sabit-Abdulai  gh GHA    MF         Getafe   \n",
       "1                    Marcos Acuña\\Marcos-Acuna  ar ARG    DF        Sevilla   \n",
       "2                Bobby Adekanye\\Bobby-Adekanye  nl NED  FWMF          Cádiz   \n",
       "3    Martin Agirregabiria\\Martin-Agirregabiria  es ESP  DFMF         Alavés   \n",
       "4                    Joseph Aidoo\\Joseph-Aidoo  gh GHA    DF     Celta Vigo   \n",
       "..                                         ...     ...   ...            ...   \n",
       "558                Joseba Zaldúa\\Joseba-Zaldua  es ESP    DF  Real Sociedad   \n",
       "559                  Oier Zarraga\\Oier-Zarraga  es ESP    MF  Athletic Club   \n",
       "560                Igor Zubeldia\\Igor-Zubeldia  es ESP    DF  Real Sociedad   \n",
       "561          Martín Zubimendi\\Martin-Zubimendi  es ESP    MF  Real Sociedad   \n",
       "562            Martin Ødegaard\\Martin-Odegaard  no NOR  MFFW    Real Madrid   \n",
       "\n",
       "        Age  Born   90s  Gls  Sh  SoT  SoT%  Sh/90  SoT/90  G/Sh  G/SoT  Dist  \n",
       "0    21-341  1999   0.1    0   0    0   NaN   0.00    0.00   NaN    NaN   NaN  \n",
       "1    29-171  1991  19.5    1  13    2  15.4   0.67    0.10  0.08    0.5  20.6  \n",
       "2    22-062  1999   0.4    0   1    0   0.0   2.50    0.00  0.00    NaN  17.5  \n",
       "3    24-342  1996  11.8    0   2    0   0.0   0.17    0.00  0.00    NaN  14.3  \n",
       "4    25-200  1995  11.6    0   7    0   0.0   0.61    0.00  0.00    NaN  17.6  \n",
       "..      ...   ...   ...  ...  ..  ...   ...    ...     ...   ...    ...   ...  \n",
       "558  28-297  1992   5.5    0   1    0   0.0   0.18    0.00  0.00    NaN  18.4  \n",
       "559  22-103  1999   1.1    0   1    0   0.0   0.90    0.00  0.00    NaN  16.0  \n",
       "560  24-018  1997  19.5    0   8    2  25.0   0.41    0.10  0.00    0.0  17.7  \n",
       "561  22-074  1999  14.3    0   6    1  16.7   0.42    0.07  0.00    0.0  13.0  \n",
       "562  22-121  1998   2.6    0   3    0   0.0   1.15    0.00  0.00    NaN  19.9  \n",
       "\n",
       "[563 rows x 16 columns]"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Player</th>\n",
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       "      <th>G/SoT</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[Sabit Abdulai, Sabit-Abdulai]</td>\n",
       "      <td>gh GHA</td>\n",
       "      <td>MF</td>\n",
       "      <td>Getafe</td>\n",
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       "      <td>1999</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[Marcos Acuña, Marcos-Acuna]</td>\n",
       "      <td>ar ARG</td>\n",
       "      <td>DF</td>\n",
       "      <td>Sevilla</td>\n",
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       "      <td>1991</td>\n",
       "      <td>19.5</td>\n",
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       "      <td>0.67</td>\n",
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       "      <td>0.08</td>\n",
       "      <td>0.5</td>\n",
       "      <td>20.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[Bobby Adekanye, Bobby-Adekanye]</td>\n",
       "      <td>nl NED</td>\n",
       "      <td>FWMF</td>\n",
       "      <td>Cádiz</td>\n",
       "      <td>22-062</td>\n",
       "      <td>1999</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.5</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[Martin Agirregabiria, Martin-Agirregabiria]</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>DFMF</td>\n",
       "      <td>Alavés</td>\n",
       "      <td>24-342</td>\n",
       "      <td>1996</td>\n",
       "      <td>11.8</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[Joseph Aidoo, Joseph-Aidoo]</td>\n",
       "      <td>gh GHA</td>\n",
       "      <td>DF</td>\n",
       "      <td>Celta Vigo</td>\n",
       "      <td>25-200</td>\n",
       "      <td>1995</td>\n",
       "      <td>11.6</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.6</td>\n",
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       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>[Joseba Zaldúa, Joseba-Zaldua]</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>DF</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>28-297</td>\n",
       "      <td>1992</td>\n",
       "      <td>5.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.4</td>\n",
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       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>[Oier Zarraga, Oier-Zarraga]</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>MF</td>\n",
       "      <td>Athletic Club</td>\n",
       "      <td>22-103</td>\n",
       "      <td>1999</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
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       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>[Igor Zubeldia, Igor-Zubeldia]</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>DF</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>24-018</td>\n",
       "      <td>1997</td>\n",
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       "      <td>25.0</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>[Martín Zubimendi, Martin-Zubimendi]</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>MF</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>22-074</td>\n",
       "      <td>1999</td>\n",
       "      <td>14.3</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>16.7</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>[Martin Ødegaard, Martin-Odegaard]</td>\n",
       "      <td>no NOR</td>\n",
       "      <td>MFFW</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>22-121</td>\n",
       "      <td>1998</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.15</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>563 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           Player  Nation   Pos  \\\n",
       "0                  [Sabit Abdulai, Sabit-Abdulai]  gh GHA    MF   \n",
       "1                    [Marcos Acuña, Marcos-Acuna]  ar ARG    DF   \n",
       "2                [Bobby Adekanye, Bobby-Adekanye]  nl NED  FWMF   \n",
       "3    [Martin Agirregabiria, Martin-Agirregabiria]  es ESP  DFMF   \n",
       "4                    [Joseph Aidoo, Joseph-Aidoo]  gh GHA    DF   \n",
       "..                                            ...     ...   ...   \n",
       "558                [Joseba Zaldúa, Joseba-Zaldua]  es ESP    DF   \n",
       "559                  [Oier Zarraga, Oier-Zarraga]  es ESP    MF   \n",
       "560                [Igor Zubeldia, Igor-Zubeldia]  es ESP    DF   \n",
       "561          [Martín Zubimendi, Martin-Zubimendi]  es ESP    MF   \n",
       "562            [Martin Ødegaard, Martin-Odegaard]  no NOR  MFFW   \n",
       "\n",
       "             Squad     Age  Born   90s  Gls  Sh  SoT  SoT%  Sh/90  SoT/90  \\\n",
       "0           Getafe  21-341  1999   0.1    0   0    0   NaN   0.00    0.00   \n",
       "1          Sevilla  29-171  1991  19.5    1  13    2  15.4   0.67    0.10   \n",
       "2            Cádiz  22-062  1999   0.4    0   1    0   0.0   2.50    0.00   \n",
       "3           Alavés  24-342  1996  11.8    0   2    0   0.0   0.17    0.00   \n",
       "4       Celta Vigo  25-200  1995  11.6    0   7    0   0.0   0.61    0.00   \n",
       "..             ...     ...   ...   ...  ...  ..  ...   ...    ...     ...   \n",
       "558  Real Sociedad  28-297  1992   5.5    0   1    0   0.0   0.18    0.00   \n",
       "559  Athletic Club  22-103  1999   1.1    0   1    0   0.0   0.90    0.00   \n",
       "560  Real Sociedad  24-018  1997  19.5    0   8    2  25.0   0.41    0.10   \n",
       "561  Real Sociedad  22-074  1999  14.3    0   6    1  16.7   0.42    0.07   \n",
       "562    Real Madrid  22-121  1998   2.6    0   3    0   0.0   1.15    0.00   \n",
       "\n",
       "     G/Sh  G/SoT  Dist  \n",
       "0     NaN    NaN   NaN  \n",
       "1    0.08    0.5  20.6  \n",
       "2    0.00    NaN  17.5  \n",
       "3    0.00    NaN  14.3  \n",
       "4    0.00    NaN  17.6  \n",
       "..    ...    ...   ...  \n",
       "558  0.00    NaN  18.4  \n",
       "559  0.00    NaN  16.0  \n",
       "560  0.00    0.0  17.7  \n",
       "561  0.00    0.0  13.0  \n",
       "562  0.00    NaN  19.9  \n",
       "\n",
       "[563 rows x 16 columns]"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shots['Player'] = shots['Player'].str.split('\\\\')\n",
    "shots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "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>name1</th>\n",
       "      <th>name2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sabit Abdulai</td>\n",
       "      <td>Sabit-Abdulai</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Marcos Acuña</td>\n",
       "      <td>Marcos-Acuna</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bobby Adekanye</td>\n",
       "      <td>Bobby-Adekanye</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Martin Agirregabiria</td>\n",
       "      <td>Martin-Agirregabiria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Joseph Aidoo</td>\n",
       "      <td>Joseph-Aidoo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>Joseba Zaldúa</td>\n",
       "      <td>Joseba-Zaldua</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>Oier Zarraga</td>\n",
       "      <td>Oier-Zarraga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>Igor Zubeldia</td>\n",
       "      <td>Igor-Zubeldia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>Martín Zubimendi</td>\n",
       "      <td>Martin-Zubimendi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>Martin Ødegaard</td>\n",
       "      <td>Martin-Odegaard</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>563 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    name1                 name2\n",
       "0           Sabit Abdulai         Sabit-Abdulai\n",
       "1            Marcos Acuña          Marcos-Acuna\n",
       "2          Bobby Adekanye        Bobby-Adekanye\n",
       "3    Martin Agirregabiria  Martin-Agirregabiria\n",
       "4            Joseph Aidoo          Joseph-Aidoo\n",
       "..                    ...                   ...\n",
       "558         Joseba Zaldúa         Joseba-Zaldua\n",
       "559          Oier Zarraga          Oier-Zarraga\n",
       "560         Igor Zubeldia         Igor-Zubeldia\n",
       "561      Martín Zubimendi      Martin-Zubimendi\n",
       "562       Martin Ødegaard       Martin-Odegaard\n",
       "\n",
       "[563 rows x 2 columns]"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names = shots['Player']\n",
    "names = pd.DataFrame(names.to_list(), columns=['name1', 'name2'])\n",
    "names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\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>Player</th>\n",
       "      <th>Nation</th>\n",
       "      <th>Pos</th>\n",
       "      <th>Squad</th>\n",
       "      <th>Age</th>\n",
       "      <th>Born</th>\n",
       "      <th>90s</th>\n",
       "      <th>Gls</th>\n",
       "      <th>Sh</th>\n",
       "      <th>SoT</th>\n",
       "      <th>SoT%</th>\n",
       "      <th>Sh/90</th>\n",
       "      <th>SoT/90</th>\n",
       "      <th>G/Sh</th>\n",
       "      <th>G/SoT</th>\n",
       "      <th>Dist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sabit Abdulai</td>\n",
       "      <td>gh GHA</td>\n",
       "      <td>MF</td>\n",
       "      <td>Getafe</td>\n",
       "      <td>21-341</td>\n",
       "      <td>1999</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Marcos Acuña</td>\n",
       "      <td>ar ARG</td>\n",
       "      <td>DF</td>\n",
       "      <td>Sevilla</td>\n",
       "      <td>29-171</td>\n",
       "      <td>1991</td>\n",
       "      <td>19.5</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>15.4</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.5</td>\n",
       "      <td>20.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bobby Adekanye</td>\n",
       "      <td>nl NED</td>\n",
       "      <td>FWMF</td>\n",
       "      <td>Cádiz</td>\n",
       "      <td>22-062</td>\n",
       "      <td>1999</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Martin Agirregabiria</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>DFMF</td>\n",
       "      <td>Alavés</td>\n",
       "      <td>24-342</td>\n",
       "      <td>1996</td>\n",
       "      <td>11.8</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Joseph Aidoo</td>\n",
       "      <td>gh GHA</td>\n",
       "      <td>DF</td>\n",
       "      <td>Celta Vigo</td>\n",
       "      <td>25-200</td>\n",
       "      <td>1995</td>\n",
       "      <td>11.6</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.6</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",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>Joseba Zaldúa</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>DF</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>28-297</td>\n",
       "      <td>1992</td>\n",
       "      <td>5.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>Oier Zarraga</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>MF</td>\n",
       "      <td>Athletic Club</td>\n",
       "      <td>22-103</td>\n",
       "      <td>1999</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>Igor Zubeldia</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>DF</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>24-018</td>\n",
       "      <td>1997</td>\n",
       "      <td>19.5</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>Martín Zubimendi</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>MF</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>22-074</td>\n",
       "      <td>1999</td>\n",
       "      <td>14.3</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>16.7</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>Martin Ødegaard</td>\n",
       "      <td>no NOR</td>\n",
       "      <td>MFFW</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>22-121</td>\n",
       "      <td>1998</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.15</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>563 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Player  Nation   Pos          Squad     Age  Born   90s  \\\n",
       "0           Sabit Abdulai  gh GHA    MF         Getafe  21-341  1999   0.1   \n",
       "1            Marcos Acuña  ar ARG    DF        Sevilla  29-171  1991  19.5   \n",
       "2          Bobby Adekanye  nl NED  FWMF          Cádiz  22-062  1999   0.4   \n",
       "3    Martin Agirregabiria  es ESP  DFMF         Alavés  24-342  1996  11.8   \n",
       "4            Joseph Aidoo  gh GHA    DF     Celta Vigo  25-200  1995  11.6   \n",
       "..                    ...     ...   ...            ...     ...   ...   ...   \n",
       "558         Joseba Zaldúa  es ESP    DF  Real Sociedad  28-297  1992   5.5   \n",
       "559          Oier Zarraga  es ESP    MF  Athletic Club  22-103  1999   1.1   \n",
       "560         Igor Zubeldia  es ESP    DF  Real Sociedad  24-018  1997  19.5   \n",
       "561      Martín Zubimendi  es ESP    MF  Real Sociedad  22-074  1999  14.3   \n",
       "562       Martin Ødegaard  no NOR  MFFW    Real Madrid  22-121  1998   2.6   \n",
       "\n",
       "     Gls  Sh  SoT  SoT%  Sh/90  SoT/90  G/Sh  G/SoT  Dist  \n",
       "0      0   0    0   NaN   0.00    0.00   NaN    NaN   NaN  \n",
       "1      1  13    2  15.4   0.67    0.10  0.08    0.5  20.6  \n",
       "2      0   1    0   0.0   2.50    0.00  0.00    NaN  17.5  \n",
       "3      0   2    0   0.0   0.17    0.00  0.00    NaN  14.3  \n",
       "4      0   7    0   0.0   0.61    0.00  0.00    NaN  17.6  \n",
       "..   ...  ..  ...   ...    ...     ...   ...    ...   ...  \n",
       "558    0   1    0   0.0   0.18    0.00  0.00    NaN  18.4  \n",
       "559    0   1    0   0.0   0.90    0.00  0.00    NaN  16.0  \n",
       "560    0   8    2  25.0   0.41    0.10  0.00    0.0  17.7  \n",
       "561    0   6    1  16.7   0.42    0.07  0.00    0.0  13.0  \n",
       "562    0   3    0   0.0   1.15    0.00  0.00    NaN  19.9  \n",
       "\n",
       "[563 rows x 16 columns]"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shots['Player'] = names['name1']\n",
    "shots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Player', 'Nation', 'Pos', 'Squad', 'Age', 'Born', '90s', 'Gls', 'Sh',\n",
       "       'SoT', 'SoT%', 'Sh/90', 'SoT/90', 'G/Sh', 'G/SoT', 'Dist'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shots.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "        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>index</th>\n",
       "      <th>Player</th>\n",
       "      <th>Nation</th>\n",
       "      <th>Pos</th>\n",
       "      <th>Squad</th>\n",
       "      <th>Age</th>\n",
       "      <th>Born</th>\n",
       "      <th>90s</th>\n",
       "      <th>Gls</th>\n",
       "      <th>Sh</th>\n",
       "      <th>SoT</th>\n",
       "      <th>SoT%</th>\n",
       "      <th>Sh/90</th>\n",
       "      <th>SoT/90</th>\n",
       "      <th>G/Sh</th>\n",
       "      <th>G/SoT</th>\n",
       "      <th>Dist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Sabit Abdulai</td>\n",
       "      <td>gh GHA</td>\n",
       "      <td>MF</td>\n",
       "      <td>Getafe</td>\n",
       "      <td>21-341</td>\n",
       "      <td>1999</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Marcos Acuña</td>\n",
       "      <td>ar ARG</td>\n",
       "      <td>DF</td>\n",
       "      <td>Sevilla</td>\n",
       "      <td>29-171</td>\n",
       "      <td>1991</td>\n",
       "      <td>19.5</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>15.4</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.5</td>\n",
       "      <td>20.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Bobby Adekanye</td>\n",
       "      <td>nl NED</td>\n",
       "      <td>FWMF</td>\n",
       "      <td>Cádiz</td>\n",
       "      <td>22-062</td>\n",
       "      <td>1999</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Martin Agirregabiria</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>DFMF</td>\n",
       "      <td>Alavés</td>\n",
       "      <td>24-342</td>\n",
       "      <td>1996</td>\n",
       "      <td>11.8</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Joseph Aidoo</td>\n",
       "      <td>gh GHA</td>\n",
       "      <td>DF</td>\n",
       "      <td>Celta Vigo</td>\n",
       "      <td>25-200</td>\n",
       "      <td>1995</td>\n",
       "      <td>11.6</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.6</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>523</th>\n",
       "      <td>558</td>\n",
       "      <td>Joseba Zaldúa</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>DF</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>28-297</td>\n",
       "      <td>1992</td>\n",
       "      <td>5.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>524</th>\n",
       "      <td>559</td>\n",
       "      <td>Oier Zarraga</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>MF</td>\n",
       "      <td>Athletic Club</td>\n",
       "      <td>22-103</td>\n",
       "      <td>1999</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>560</td>\n",
       "      <td>Igor Zubeldia</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>DF</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>24-018</td>\n",
       "      <td>1997</td>\n",
       "      <td>19.5</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>526</th>\n",
       "      <td>561</td>\n",
       "      <td>Martín Zubimendi</td>\n",
       "      <td>es ESP</td>\n",
       "      <td>MF</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>22-074</td>\n",
       "      <td>1999</td>\n",
       "      <td>14.3</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>16.7</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>562</td>\n",
       "      <td>Martin Ødegaard</td>\n",
       "      <td>no NOR</td>\n",
       "      <td>MFFW</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>22-121</td>\n",
       "      <td>1998</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.15</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>528 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     index                Player  Nation   Pos          Squad     Age  Born  \\\n",
       "0        0         Sabit Abdulai  gh GHA    MF         Getafe  21-341  1999   \n",
       "1        1          Marcos Acuña  ar ARG    DF        Sevilla  29-171  1991   \n",
       "2        2        Bobby Adekanye  nl NED  FWMF          Cádiz  22-062  1999   \n",
       "3        3  Martin Agirregabiria  es ESP  DFMF         Alavés  24-342  1996   \n",
       "4        4          Joseph Aidoo  gh GHA    DF     Celta Vigo  25-200  1995   \n",
       "..     ...                   ...     ...   ...            ...     ...   ...   \n",
       "523    558         Joseba Zaldúa  es ESP    DF  Real Sociedad  28-297  1992   \n",
       "524    559          Oier Zarraga  es ESP    MF  Athletic Club  22-103  1999   \n",
       "525    560         Igor Zubeldia  es ESP    DF  Real Sociedad  24-018  1997   \n",
       "526    561      Martín Zubimendi  es ESP    MF  Real Sociedad  22-074  1999   \n",
       "527    562       Martin Ødegaard  no NOR  MFFW    Real Madrid  22-121  1998   \n",
       "\n",
       "      90s  Gls  Sh  SoT  SoT%  Sh/90  SoT/90  G/Sh  G/SoT  Dist  \n",
       "0     0.1    0   0    0   NaN   0.00    0.00   NaN    NaN   NaN  \n",
       "1    19.5    1  13    2  15.4   0.67    0.10  0.08    0.5  20.6  \n",
       "2     0.4    0   1    0   0.0   2.50    0.00  0.00    NaN  17.5  \n",
       "3    11.8    0   2    0   0.0   0.17    0.00  0.00    NaN  14.3  \n",
       "4    11.6    0   7    0   0.0   0.61    0.00  0.00    NaN  17.6  \n",
       "..    ...  ...  ..  ...   ...    ...     ...   ...    ...   ...  \n",
       "523   5.5    0   1    0   0.0   0.18    0.00  0.00    NaN  18.4  \n",
       "524   1.1    0   1    0   0.0   0.90    0.00  0.00    NaN  16.0  \n",
       "525  19.5    0   8    2  25.0   0.41    0.10  0.00    0.0  17.7  \n",
       "526  14.3    0   6    1  16.7   0.42    0.07  0.00    0.0  13.0  \n",
       "527   2.6    0   3    0   0.0   1.15    0.00  0.00    NaN  19.9  \n",
       "\n",
       "[528 rows x 17 columns]"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shots = shots[shots['Pos']!='GK'].reset_index()\n",
    "shots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1cdc1da4ca0>"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x900 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(shots[['90s', 'Gls', 'Sh', 'SoT', 'Dist']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.84673382251787"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abs(shots['Gls'].corr(shots['Sh']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = shots['Sh'].values.reshape((-1, 1))\n",
    "y = shots['Gls'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((528, 1), (528,))"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.shape, y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train, x_test, y_train, y_test = train_test_split(x, y, train_size=0.35, random_state = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  6],\n",
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       "       [ 58],\n",
       "       [  9],\n",
       "       [  0],\n",
       "       [  3],\n",
       "       [ 18],\n",
       "       [  5],\n",
       "       [ 13],\n",
       "       [  1],\n",
       "       [  1],\n",
       "       [  2],\n",
       "       [ 39],\n",
       "       [  1],\n",
       "       [  8],\n",
       "       [  0],\n",
       "       [ 17],\n",
       "       [  3],\n",
       "       [  2],\n",
       "       [  3],\n",
       "       [  3],\n",
       "       [ 19],\n",
       "       [  2],\n",
       "       [ 18],\n",
       "       [  4],\n",
       "       [ 19],\n",
       "       [  3],\n",
       "       [  1],\n",
       "       [ 16],\n",
       "       [ 33],\n",
       "       [  5],\n",
       "       [ 12],\n",
       "       [ 25],\n",
       "       [  1],\n",
       "       [ 10],\n",
       "       [153],\n",
       "       [  9],\n",
       "       [  7],\n",
       "       [ 47],\n",
       "       [ 46],\n",
       "       [  7],\n",
       "       [  1],\n",
       "       [  5]], dtype=int64)"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now define the Elastic Net model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "r = 0.5\n",
    "en = ElasticNet(alpha = 0.1, l1_ratio=r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ElasticNet(alpha=0.1)"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "en.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.15547772])"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = en.coef_\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.40055053064907464"
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = en.intercept_\n",
    "c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1.62065979,  1.30970435, -0.40055053, -0.0895951 ,  1.15422664,\n",
       "        1.62065979, -0.40055053, -0.40055053, -0.24507281, -0.40055053,\n",
       "        1.46518207,  0.68779349,  3.95282554,  0.37683805,  5.35212499,\n",
       "       -0.24507281,  2.08709294, -0.40055053, -0.0895951 , -0.0895951 ,\n",
       "        1.62065979,  0.53231577,  0.22136034,  3.95282554,  1.30970435,\n",
       "        0.06588262,  0.53231577,  0.53231577,  1.15422664, -0.24507281,\n",
       "        0.06588262,  3.01995924, -0.40055053, -0.40055053,  0.06588262,\n",
       "        1.46518207,  0.53231577,  1.30970435,  1.30970435,  0.06588262,\n",
       "       -0.40055053,  0.53231577, -0.0895951 ,  0.8432712 ,  0.37683805,\n",
       "        0.06588262, -0.0895951 , 10.79384508, -0.0895951 , -0.40055053,\n",
       "        0.53231577,  2.24257066, -0.24507281,  2.86448152,  0.37683805,\n",
       "        3.17543696,  1.46518207,  0.37683805,  0.99874892,  0.8432712 ,\n",
       "        4.26378098, -0.24507281,  6.28499129,  1.46518207,  3.17543696,\n",
       "        1.62065979,  0.8432712 , -0.0895951 ,  0.06588262,  1.77613751,\n",
       "        3.48639239, -0.24507281, -0.24507281, -0.40055053,  0.68779349,\n",
       "        0.99874892,  0.53231577, -0.40055053,  1.62065979, -0.40055053,\n",
       "        2.70900381, -0.24507281, -0.24507281,  0.06588262, -0.24507281,\n",
       "        0.68779349, -0.40055053,  3.01995924,  1.15422664,  1.62065979,\n",
       "       -0.40055053, -0.0895951 ,  0.8432712 , -0.40055053, -0.40055053,\n",
       "        0.99874892,  0.37683805,  4.26378098,  3.33091467, -0.40055053,\n",
       "        0.53231577, -0.24507281,  1.62065979,  0.06588262, -0.24507281,\n",
       "        1.62065979,  0.06588262, -0.24507281, -0.40055053,  4.57473641,\n",
       "        0.06588262, -0.40055053,  0.8432712 ,  1.62065979, -0.24507281,\n",
       "        0.8432712 , -0.24507281,  2.86448152, -0.0895951 , -0.40055053,\n",
       "        0.8432712 ,  0.53231577,  2.86448152, -0.24507281,  0.22136034,\n",
       "       -0.0895951 ,  1.15422664,  0.06588262,  0.68779349,  4.10830326,\n",
       "        0.37683805, -0.40055053,  0.53231577, -0.24507281,  1.15422664,\n",
       "        0.99874892,  5.19664728,  0.22136034, -0.40055053,  2.86448152,\n",
       "        2.86448152,  0.22136034,  1.46518207,  3.33091467,  1.46518207,\n",
       "        4.10830326,  0.06588262,  1.93161522,  2.08709294,  0.99874892,\n",
       "       10.17193422,  0.06588262, -0.24507281, -0.24507281, -0.40055053,\n",
       "        1.30970435,  3.01995924,  0.06588262, -0.24507281, -0.24507281,\n",
       "        7.2178576 , -0.40055053, -0.24507281, -0.40055053,  0.99874892,\n",
       "       -0.0895951 ,  2.39804837, -0.24507281,  1.30970435, -0.40055053,\n",
       "        5.81855814,  1.15422664,  0.53231577,  5.04116956, -0.40055053,\n",
       "        0.68779349,  0.53231577, -0.40055053, -0.0895951 , -0.40055053,\n",
       "        4.88569184, -0.40055053,  0.22136034,  2.70900381,  0.37683805,\n",
       "       -0.24507281,  0.22136034, -0.24507281,  3.33091467,  2.86448152,\n",
       "       -0.40055053,  2.86448152,  1.93161522,  0.06588262,  5.19664728,\n",
       "        3.64187011,  3.64187011,  0.06588262, -0.0895951 ,  0.37683805,\n",
       "        1.15422664,  0.06588262, -0.40055053, -0.40055053,  1.15422664,\n",
       "        1.30970435,  4.57473641,  1.62065979,  4.10830326, -0.40055053,\n",
       "        0.37683805,  1.77613751,  2.08709294,  0.68779349,  5.81855814,\n",
       "        2.39804837,  0.68779349, -0.40055053,  0.53231577,  3.64187011,\n",
       "       -0.24507281,  4.41925869,  4.73021413,  3.48639239,  0.99874892,\n",
       "        5.19664728, -0.40055053,  1.46518207,  3.01995924,  0.37683805,\n",
       "        3.01995924,  2.70900381,  3.79734782,  3.17543696,  1.15422664,\n",
       "        0.53231577, -0.24507281,  0.68779349,  2.24257066,  2.39804837,\n",
       "        0.06588262,  1.15422664,  1.30970435,  4.57473641,  0.06588262,\n",
       "       -0.24507281,  0.99874892,  1.15422664, -0.40055053,  0.06588262,\n",
       "        4.73021413, -0.24507281,  4.88569184, -0.40055053,  0.8432712 ,\n",
       "       -0.40055053,  1.15422664,  0.8432712 , -0.24507281,  1.30970435,\n",
       "        0.37683805, 10.9493228 ,  1.15422664,  0.99874892,  0.68779349,\n",
       "        7.06237988,  5.66308043,  2.24257066,  2.86448152,  1.46518207,\n",
       "        4.88569184, -0.40055053, -0.40055053, -0.24507281,  2.39804837,\n",
       "        2.86448152,  0.37683805,  0.68779349, -0.24507281, -0.24507281,\n",
       "       -0.24507281,  2.39804837, -0.40055053,  0.68779349,  7.06237988,\n",
       "       -0.0895951 , -0.40055053,  3.79734782,  5.50760271,  1.93161522,\n",
       "       -0.0895951 , -0.24507281,  1.93161522,  7.37333531,  2.24257066,\n",
       "        0.06588262,  3.01995924,  0.68779349,  1.30970435, -0.24507281,\n",
       "       -0.24507281,  0.37683805,  1.77613751, -0.0895951 , -0.24507281,\n",
       "        0.8432712 ,  0.22136034,  1.62065979,  2.08709294, -0.40055053,\n",
       "        3.95282554,  8.92811248,  0.06588262,  1.30970435,  1.77613751,\n",
       "        1.30970435, -0.24507281,  5.50760271,  0.68779349, -0.40055053,\n",
       "        1.46518207,  3.64187011,  1.46518207,  0.8432712 ,  2.86448152,\n",
       "        1.46518207,  3.95282554,  4.10830326, -0.24507281,  0.22136034,\n",
       "        0.22136034,  0.53231577,  0.53231577,  1.15422664,  0.99874892,\n",
       "        5.04116956, -0.40055053,  4.73021413,  1.62065979,  1.30970435,\n",
       "        1.15422664, -0.24507281,  0.37683805,  6.90690216])"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred = en.predict(x_test)\n",
    "pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'La Liga Goals Vs. Shots')"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 972x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(13.5, 8))\n",
    "#fig.set_facecolor(('black'))\n",
    "ax.patch.set_facecolor(('black'))\n",
    "\n",
    "plt.scatter(x_test, y_test, color='red')\n",
    "plt.plot(x_test, pred, color='blue', linewidth=5)\n",
    "\n",
    "plt.xlabel('Shots by a player', size=20)\n",
    "plt.ylabel('Goals by a player', size=20)\n",
    "plt.title(\"La Liga Goals Vs. Shots\", size=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1cdc2bc44c0>"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot((y_test - pred),bins=50, color = 'green')"
   ]
  },
  {
   "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
}