{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0d54533f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "from tensorflow.keras import layers\n",
    "import tensorflow_datasets as tfds\n",
    "import tensorflow_probability as tfp\n",
    "tfd = tfp.distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d3654c88",
   "metadata": {},
   "outputs": [],
   "source": [
    "file = 'outputs/pred_matchday_7.xlsx'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f89d6b70",
   "metadata": {},
   "outputs": [],
   "source": [
    "db = pd.read_excel(file, index_col = 0)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6f61a1fa",
   "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>role</th>\n",
       "      <th>team</th>\n",
       "      <th>oppteam</th>\n",
       "      <th>home</th>\n",
       "      <th>starter</th>\n",
       "      <th>vote%</th>\n",
       "      <th>MV</th>\n",
       "      <th>MV std</th>\n",
       "      <th>FV</th>\n",
       "      <th>FV std</th>\n",
       "      <th>MV loc</th>\n",
       "      <th>MV scale</th>\n",
       "      <th>MV skewness</th>\n",
       "      <th>MV tailweight</th>\n",
       "      <th>FV loc</th>\n",
       "      <th>FV scale</th>\n",
       "      <th>FV skewness</th>\n",
       "      <th>FV tailweight</th>\n",
       "      <th>Clean Sheet %</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>player</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Carnesecchi</th>\n",
       "      <td>P</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Juventus</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5</td>\n",
       "      <td>6.140590</td>\n",
       "      <td>0.481707</td>\n",
       "      <td>5.070139</td>\n",
       "      <td>0.715923</td>\n",
       "      <td>5.980216</td>\n",
       "      <td>0.509892</td>\n",
       "      <td>0.230396</td>\n",
       "      <td>1.086084</td>\n",
       "      <td>5.321455</td>\n",
       "      <td>1.055452</td>\n",
       "      <td>-0.174796</td>\n",
       "      <td>0.965320</td>\n",
       "      <td>20.727640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Musso</th>\n",
       "      <td>P</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Juventus</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>70</td>\n",
       "      <td>6.171150</td>\n",
       "      <td>0.480294</td>\n",
       "      <td>5.038867</td>\n",
       "      <td>0.684976</td>\n",
       "      <td>5.986030</td>\n",
       "      <td>0.494852</td>\n",
       "      <td>0.272883</td>\n",
       "      <td>1.084060</td>\n",
       "      <td>5.255883</td>\n",
       "      <td>1.019420</td>\n",
       "      <td>-0.156479</td>\n",
       "      <td>0.983446</td>\n",
       "      <td>28.833491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rossi F.</th>\n",
       "      <td>P</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Juventus</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6.170296</td>\n",
       "      <td>0.480470</td>\n",
       "      <td>5.037872</td>\n",
       "      <td>0.684438</td>\n",
       "      <td>5.984473</td>\n",
       "      <td>0.494652</td>\n",
       "      <td>0.273999</td>\n",
       "      <td>1.084374</td>\n",
       "      <td>5.254371</td>\n",
       "      <td>1.018776</td>\n",
       "      <td>-0.156209</td>\n",
       "      <td>0.983780</td>\n",
       "      <td>28.943959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zappacosta</th>\n",
       "      <td>D</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Juventus</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>90</td>\n",
       "      <td>5.985259</td>\n",
       "      <td>0.522062</td>\n",
       "      <td>6.206951</td>\n",
       "      <td>0.733274</td>\n",
       "      <td>6.001576</td>\n",
       "      <td>0.613546</td>\n",
       "      <td>-0.019559</td>\n",
       "      <td>0.881605</td>\n",
       "      <td>5.760596</td>\n",
       "      <td>1.050439</td>\n",
       "      <td>0.307981</td>\n",
       "      <td>1.299815</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toloi</th>\n",
       "      <td>D</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Juventus</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>90</td>\n",
       "      <td>6.002894</td>\n",
       "      <td>0.499877</td>\n",
       "      <td>6.196084</td>\n",
       "      <td>0.699952</td>\n",
       "      <td>6.035264</td>\n",
       "      <td>0.591494</td>\n",
       "      <td>-0.040256</td>\n",
       "      <td>0.892304</td>\n",
       "      <td>5.804792</td>\n",
       "      <td>1.025037</td>\n",
       "      <td>0.278035</td>\n",
       "      <td>1.299814</td>\n",
       "      <td>0.000000</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Henry</th>\n",
       "      <td>A</td>\n",
       "      <td>Verona</td>\n",
       "      <td>Torino</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>60</td>\n",
       "      <td>5.839920</td>\n",
       "      <td>0.444240</td>\n",
       "      <td>6.116677</td>\n",
       "      <td>0.669289</td>\n",
       "      <td>5.631952</td>\n",
       "      <td>0.453545</td>\n",
       "      <td>0.332464</td>\n",
       "      <td>0.906913</td>\n",
       "      <td>5.474079</td>\n",
       "      <td>0.755754</td>\n",
       "      <td>0.577176</td>\n",
       "      <td>1.299852</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Djuric</th>\n",
       "      <td>A</td>\n",
       "      <td>Verona</td>\n",
       "      <td>Torino</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.988754</td>\n",
       "      <td>0.256611</td>\n",
       "      <td>6.065000</td>\n",
       "      <td>0.293257</td>\n",
       "      <td>6.035156</td>\n",
       "      <td>0.320372</td>\n",
       "      <td>-0.107045</td>\n",
       "      <td>1.115607</td>\n",
       "      <td>5.977599</td>\n",
       "      <td>0.469125</td>\n",
       "      <td>0.137929</td>\n",
       "      <td>1.299758</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kallon</th>\n",
       "      <td>A</td>\n",
       "      <td>Verona</td>\n",
       "      <td>Torino</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.863674</td>\n",
       "      <td>0.392202</td>\n",
       "      <td>6.044829</td>\n",
       "      <td>0.522801</td>\n",
       "      <td>5.719528</td>\n",
       "      <td>0.414042</td>\n",
       "      <td>0.254175</td>\n",
       "      <td>0.962003</td>\n",
       "      <td>5.592772</td>\n",
       "      <td>0.641898</td>\n",
       "      <td>0.490306</td>\n",
       "      <td>1.299833</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cruz</th>\n",
       "      <td>A</td>\n",
       "      <td>Verona</td>\n",
       "      <td>Torino</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15</td>\n",
       "      <td>5.932667</td>\n",
       "      <td>0.434699</td>\n",
       "      <td>5.990185</td>\n",
       "      <td>0.538253</td>\n",
       "      <td>6.015219</td>\n",
       "      <td>0.528602</td>\n",
       "      <td>-0.114888</td>\n",
       "      <td>0.951150</td>\n",
       "      <td>5.878494</td>\n",
       "      <td>0.880338</td>\n",
       "      <td>0.094197</td>\n",
       "      <td>1.299773</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Braaf</th>\n",
       "      <td>A</td>\n",
       "      <td>Verona</td>\n",
       "      <td>Torino</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.665697</td>\n",
       "      <td>0.341006</td>\n",
       "      <td>5.725323</td>\n",
       "      <td>0.370040</td>\n",
       "      <td>5.561785</td>\n",
       "      <td>0.367506</td>\n",
       "      <td>0.207320</td>\n",
       "      <td>1.019125</td>\n",
       "      <td>5.506973</td>\n",
       "      <td>0.534618</td>\n",
       "      <td>0.296589</td>\n",
       "      <td>1.299793</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>539 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            role      team   oppteam  home  starter  vote%        MV  \\\n",
       "player                                                                 \n",
       "Carnesecchi    P  Atalanta  Juventus     1      0.0      5  6.140590   \n",
       "Musso          P  Atalanta  Juventus     1      1.0     70  6.171150   \n",
       "Rossi F.       P  Atalanta  Juventus     1      0.0      1  6.170296   \n",
       "Zappacosta     D  Atalanta  Juventus     1      1.0     90  5.985259   \n",
       "Toloi          D  Atalanta  Juventus     1      1.0     90  6.002894   \n",
       "...          ...       ...       ...   ...      ...    ...       ...   \n",
       "Henry          A    Verona    Torino     0      0.4     60  5.839920   \n",
       "Djuric         A    Verona    Torino     0      0.0      0  5.988754   \n",
       "Kallon         A    Verona    Torino     0      0.0      0  5.863674   \n",
       "Cruz           A    Verona    Torino     0      0.0     15  5.932667   \n",
       "Braaf          A    Verona    Torino     0      0.0      0  5.665697   \n",
       "\n",
       "               MV std        FV    FV std    MV loc  MV scale  MV skewness  \\\n",
       "player                                                                       \n",
       "Carnesecchi  0.481707  5.070139  0.715923  5.980216  0.509892     0.230396   \n",
       "Musso        0.480294  5.038867  0.684976  5.986030  0.494852     0.272883   \n",
       "Rossi F.     0.480470  5.037872  0.684438  5.984473  0.494652     0.273999   \n",
       "Zappacosta   0.522062  6.206951  0.733274  6.001576  0.613546    -0.019559   \n",
       "Toloi        0.499877  6.196084  0.699952  6.035264  0.591494    -0.040256   \n",
       "...               ...       ...       ...       ...       ...          ...   \n",
       "Henry        0.444240  6.116677  0.669289  5.631952  0.453545     0.332464   \n",
       "Djuric       0.256611  6.065000  0.293257  6.035156  0.320372    -0.107045   \n",
       "Kallon       0.392202  6.044829  0.522801  5.719528  0.414042     0.254175   \n",
       "Cruz         0.434699  5.990185  0.538253  6.015219  0.528602    -0.114888   \n",
       "Braaf        0.341006  5.725323  0.370040  5.561785  0.367506     0.207320   \n",
       "\n",
       "             MV tailweight    FV loc  FV scale  FV skewness  FV tailweight  \\\n",
       "player                                                                       \n",
       "Carnesecchi       1.086084  5.321455  1.055452    -0.174796       0.965320   \n",
       "Musso             1.084060  5.255883  1.019420    -0.156479       0.983446   \n",
       "Rossi F.          1.084374  5.254371  1.018776    -0.156209       0.983780   \n",
       "Zappacosta        0.881605  5.760596  1.050439     0.307981       1.299815   \n",
       "Toloi             0.892304  5.804792  1.025037     0.278035       1.299814   \n",
       "...                    ...       ...       ...          ...            ...   \n",
       "Henry             0.906913  5.474079  0.755754     0.577176       1.299852   \n",
       "Djuric            1.115607  5.977599  0.469125     0.137929       1.299758   \n",
       "Kallon            0.962003  5.592772  0.641898     0.490306       1.299833   \n",
       "Cruz              0.951150  5.878494  0.880338     0.094197       1.299773   \n",
       "Braaf             1.019125  5.506973  0.534618     0.296589       1.299793   \n",
       "\n",
       "             Clean Sheet %  \n",
       "player                      \n",
       "Carnesecchi      20.727640  \n",
       "Musso            28.833491  \n",
       "Rossi F.         28.943959  \n",
       "Zappacosta        0.000000  \n",
       "Toloi             0.000000  \n",
       "...                    ...  \n",
       "Henry             0.000000  \n",
       "Djuric            0.000000  \n",
       "Kallon            0.000000  \n",
       "Cruz              0.000000  \n",
       "Braaf             0.000000  \n",
       "\n",
       "[539 rows x 19 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "aa1c6af5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_player_distributions(player): \n",
    "    dist_mv = tfp.distributions.SinhArcsinh(\n",
    "    db.loc[player, 'MV loc'],\n",
    "    db.loc[player, 'MV scale'],\n",
    "    db.loc[player, 'MV skewness'],\n",
    "    db.loc[player, 'MV tailweight']\n",
    "    )\n",
    "    \n",
    "    dist_fv = tfp.distributions.SinhArcsinh(\n",
    "    db.loc[player, 'FV loc'],\n",
    "    db.loc[player, 'FV scale'],\n",
    "    db.loc[player, 'FV skewness'],\n",
    "    db.loc[player, 'FV tailweight']\n",
    "    )\n",
    "    \n",
    "    dist_cs = tfp.distributions.Bernoulli(probs = db.loc[player, 'Clean Sheet %']/100)\n",
    "    \n",
    "    return [dist_mv, dist_fv, dist_cs];"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d8456c70",
   "metadata": {},
   "outputs": [],
   "source": [
    "def simulate_lineup(squad, ITERS = 1000, MOD = False, CS = False, plot = True):\n",
    "    dist = [None] * len(squad)\n",
    "\n",
    "    defenders = list([0]) * len(squad)\n",
    "\n",
    "\n",
    "    for i in range(len(squad)):\n",
    "        dist[i] = get_player_distributions(squad[i])  \n",
    "\n",
    "        if(db['role'][squad[i]] == 'D'):\n",
    "            defenders[i] = 1\n",
    "            \n",
    "    total_points = np.zeros(ITERS)\n",
    "    clean_sheets = np.zeros(ITERS)\n",
    "    mod_points = np.zeros(ITERS)\n",
    "\n",
    "    mv_samples = [None] * len(squad)\n",
    "    fv_samples = [None] * len(squad)\n",
    "\n",
    "    for i in range(len(squad)):\n",
    "        mv_samples[i] = dist[i][0].sample(ITERS)\n",
    "        fv_samples[i] = dist[i][1].sample(ITERS)\n",
    "\n",
    "    cs_samples = dist[0][2].sample(ITERS)\n",
    "\n",
    "    for k in range(ITERS):\n",
    "        d_points = list([0]) * len(squad)\n",
    "\n",
    "        cleansheet = float(cs_samples[k])\n",
    "        if(not CS):\n",
    "            cleansheet = 0;\n",
    "            \n",
    "        total_points[k] += cleansheet\n",
    "        clean_sheets[k] += cleansheet\n",
    "\n",
    "        for i in range(len(squad)):      \n",
    "            if(defenders[i] == 1):\n",
    "                d_points[i] = float(mv_samples[i][k])\n",
    "\n",
    "            total_points[k] += float(fv_samples[i][k])\n",
    "\n",
    "        d_points.sort(reverse = True)\n",
    "\n",
    "        if(MOD and d_points[3] > 0): # minimum 3 defenders to get MOD\n",
    "            mod_avg = 0\n",
    "            for j in range(3):\n",
    "                mod_avg += round(d_points[j] * 2) / 2\n",
    "            mod_avg /= 3\n",
    "\n",
    "            if(mod_avg >= 7):\n",
    "                mod_points[k] = 6\n",
    "            elif(mod_avg >= 6.5):\n",
    "                mod_points[k] = 3\n",
    "            elif(mod_avg >= 6):\n",
    "                mod_points[k] = 1\n",
    "\n",
    "        total_points[k] += mod_points[k]\n",
    "    \n",
    "    loc_0 = total_points.mean()\n",
    "\n",
    "    squad_model = tf.keras.Sequential(\n",
    "        [\n",
    "            tf.keras.layers.Dense(3),\n",
    "            tfp.layers.DistributionLambda(\n",
    "                lambda t: tfp.distributions.SinhArcsinh(loc= loc_0 + t[..., 0], scale = 1e-3 + tf.math.softplus(t[..., 1]), \n",
    "                                                        skewness = t[..., 2], tailweight = 0.8) # fixed tailweight seems ok\n",
    "            )\n",
    "        ]\n",
    "    )\n",
    "\n",
    "    def negloglik(y, distr):\n",
    "        return -distr.log_prob(y)\n",
    "\n",
    "    squad_model.compile(optimizer=tf.optimizers.Adam(learning_rate=1), loss=negloglik)\n",
    "\n",
    "    dummy_input = np.zeros(total_points.shape)[:, np.newaxis]\n",
    "    squad_model.fit(dummy_input, total_points, epochs=100, verbose=False)\n",
    "    \n",
    "    squad_points_dist = squad_model(np.zeros(1)[:, np.newaxis])\n",
    "\n",
    "    if(plot):\n",
    "\n",
    "        x = np.arange(start = 0, stop = 200, step = 0.001)\n",
    "        prb = squad_points_dist.prob(x)\n",
    "\n",
    "        mn = total_points.mean()\n",
    "        pot = mn + 2 * total_points.std()\n",
    "\n",
    "        f, ax = plt.subplots(1, 2)\n",
    "\n",
    "        ax[0].plot(x, prb)\n",
    "        ax[0].fill_between(x, prb, color = 'lightblue')\n",
    "        ax[0].vlines(x = mn, color = 'black', ymin = 0, ymax = 3, linestyle = 'dashed', label = 'mean = ' + \"{:.2f}\".format(mn))\n",
    "        ax[0].vlines(x = pot, color = 'grey', ymin = 0, ymax = 3, linestyle = 'dashed', label = 'potential = ' + \"{:.2f}\".format(pot))\n",
    "\n",
    "        \n",
    "        ax[0].set_xlim([40, 140])\n",
    "        ax[0].set_ylim([0, 0.12])\n",
    "\n",
    "        ax[0].legend()\n",
    "\n",
    "        #ax[0].hist(total_points, bins = 20, density = True)\n",
    "\n",
    "\n",
    "        ax[1].text(0.1, 0.8, \"\\n\".join(squad), fontsize=10, transform=ax[1].transAxes, verticalalignment = 'top')\n",
    "\n",
    "        text = \"\\n\".join(['Avg Total Points = ' + \"{:.2f}\".format(total_points.mean()), \n",
    "                          'Avg Mod Points = ' + \"{:.2f}\".format(mod_points.mean()), \n",
    "                          'Avg Clean Sheets = ' + \"{:.2f}\".format(clean_sheets.mean())])\n",
    "\n",
    "        ax[1].text(0.5, 0.8, text, fontsize=10, transform=ax[1].transAxes, verticalalignment = 'top')\n",
    "\n",
    "        ax[1].axis('off')\n",
    "\n",
    "\n",
    "\n",
    "        plt.subplots_adjust(right=1.5)\n",
    "\n",
    "        plt.show()\n",
    "    return [squad_model, squad_points_dist, total_points.mean(), mod_points.mean(), clean_sheets.mean()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "852ef39e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def sinh_archsinh_pdf(x, mu, sigma, eps, delta):\n",
    "    mul = 2 / np.sinh( np.arcsinh(2) * delta)    \n",
    "    z = (x - mu) / (sigma*mul)            \n",
    "    S = np.sinh( -eps + (1/delta) * np.arcsinh(z))\n",
    "    return np.exp(-0.5 * S * S) * np.sqrt(1 + S * S) / ( sigma * mul * delta ) / np.sqrt(1 + z * z) / np.sqrt(2 * np.pi)\n",
    "\n",
    "def plot_lineup(squad, config):\n",
    "    fig, axs = plt.subplots(6, 5, figsize=(14, 10))\n",
    "\n",
    "    i = 0;\n",
    "    j = 1;\n",
    "\n",
    "    for ax in axs.flat:\n",
    "        ax.axis('off')\n",
    "\n",
    "        if(i < len(config) and config[i] == j):\n",
    "            player = squad[i];\n",
    "\n",
    "            mu = db.loc[player, 'FV loc'];\n",
    "            sigma = db.loc[player, 'FV scale'];\n",
    "            eps = db.loc[player, 'FV skewness'];\n",
    "            delta = db.loc[player, 'FV tailweight'];\n",
    "\n",
    "            x = np.arange(start = 0, stop = 30, step = 0.001)\n",
    "\n",
    "            pxf = sinh_archsinh_pdf(x, mu, sigma, eps, delta)\n",
    "\n",
    "            mf = np.average(x, weights = pxf);\n",
    "\n",
    "\n",
    "            ax.plot(x, pxf, color = 'g', label = player)\n",
    "            ax.fill_between(x, pxf, color = 'lightgreen')\n",
    "\n",
    "            ax.vlines(x = mf, color = 'g', ymin = 0, ymax = 3, linestyle = 'dashed', label = 'mfv = ' + '{:.2f}'.format(mf))    \n",
    "\n",
    "            ax.legend(fontsize=\"9\", loc =\"upper right\", handletextpad=0, handlelength=0)\n",
    "\n",
    "            ax.axis(xmin = 0, xmax = 15, ymin = 0, ymax = 1)\n",
    "\n",
    "            ax.axis('on')\n",
    "            ax.get_yaxis().set_visible(False)\n",
    "\n",
    "            ax.tick_params(axis='both', labelsize=7)\n",
    "\n",
    "            i = i + 1;\n",
    "\n",
    "        j = j + 1;\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "dda9acb8",
   "metadata": {},
   "outputs": [],
   "source": [
    "config_442 = [3, 6, 7, 9, 10, 15, 17, 19, 21, 27, 29];\n",
    "config_433 = [3, 6, 7, 9, 10, 13, 17, 19, 26, 28, 30];\n",
    "config_343 = [3, 7, 8, 9, 11, 15, 17, 19, 26, 28, 30];\n",
    "config_4231 = [3, 6, 7, 9, 10, 12, 19, 23, 25, 26, 28];\n",
    "config_433_classic = [3, 6, 7, 9, 10, 17, 18, 19, 26, 28, 30];\n",
    "config_343_classic = [3, 7, 8, 9, 16, 17, 19, 20, 26, 28, 30];"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "beea77cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x1000 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "squad = ['Musso',\n",
    "        'Zappacosta',\n",
    "        'Pavard',\n",
    "        'Carlos Augusto',\n",
    "        'Lazaro',\n",
    "        'Radonjic',\n",
    "        'Barella',\n",
    "        'Zielinski',\n",
    "        'Lauriente\\'',\n",
    "        'Rafael Leao',\n",
    "        'Lookman']\n",
    "\n",
    "s = simulate_lineup(squad, MOD = True, CS = True)\n",
    "\n",
    "plot_lineup(squad, config_433_classic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fc4be108",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x1000 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "squad = ['Szczesny',\n",
    "        'Di Lorenzo',\n",
    "        'Rrahmani',\n",
    "        'Bastoni',\n",
    "        'Kristiansen',\n",
    "        'Kostic',\n",
    "        'Pellegrini Lo.',\n",
    "        'Barella',\n",
    "        'Strefezza',\n",
    "        'Rafael Leao',\n",
    "        'Osimhen']\n",
    "\n",
    "s = simulate_lineup(squad)\n",
    "\n",
    "plot_lineup(squad, config_442)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}