{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction to Sport Analytics\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.optimize import fsolve\n",
    "\n",
    "pd.set_option('display.max_rows', None)\n",
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import the Dataset\n",
    "\n",
    "First of all, let's import the file `AthletesDataset.csv` and store its content into a `Pandas` `Dataframe`.\n",
    "\n",
    "- This dataframe has rows and columns (like a table).\n",
    "- Each column has a name (Name, Surname, Result, Wind, etc.).\n",
    "- We can easily access columns by name, filter, sort, plot, etc.\n",
    "- It's built with arrays, but it organizes them together in a structured way.\n",
    "\n",
    "It's important to import the pandas library and then we can load the dataset:\n",
    "\n",
    "```python\n",
    "import pandas as pd\n",
    "dataset = pd.read_csv(\"AthletesDataset.csv\", delimiter=\";\", header=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       Name     Surname Result  Wind      Date   PB   Olympics\n",
      "0   Oblique     Seville   9.82   0.9  01/06/24  NaN        NaN\n",
      "1   Oblique     Seville   9.98   0.4  27/06/24  NaN        NaN\n",
      "2   Oblique     Seville   9.83   0.4  28/06/24  NaN        NaN\n",
      "3   Oblique     Seville   9.82   0.9  28/06/24   PB        NaN\n",
      "4   Oblique     Seville   9.99   0.0  03/08/24  NaN       Heat\n",
      "5   Oblique     Seville   9.81   0.7  04/08/24  NaN  Semifinal\n",
      "6   Oblique     Seville   9.91   1.0  04/08/24  NaN      Final\n",
      "7      Noah       Lyles  10.01   1.7  13/04/24  NaN        NaN\n",
      "8      Noah       Lyles   9.96   3.0  28/04/24  NaN        NaN\n",
      "9      Noah       Lyles   9.85   0.9  01/06/24  NaN        NaN\n",
      "10     Noah       Lyles   9.92   0.3  22/06/24  NaN        NaN\n",
      "11     Noah       Lyles   9.80   3.0  23/06/24  NaN        NaN\n",
      "12     Noah       Lyles   9.83   0.4  24/06/24  NaN        NaN\n",
      "13     Noah       Lyles   9.81  -0.3  20/07/24   PB        NaN\n",
      "14     Noah       Lyles  10.04  -0.2  03/08/24  NaN       Heat\n",
      "15     Noah       Lyles   9.83   0.7  04/08/24  NaN  Semifinal\n",
      "16     Noah       Lyles   9.79   1.0  04/08/24  NaN      Final\n",
      "17    Louie  Hinchliffe  10.40   NWI  20/04/24  NaN        NaN\n",
      "18    Louie  Hinchliffe  10.37   0.2  26/04/24  NaN        NaN\n",
      "19    Louie  Hinchliffe  10.21   0.8  27/04/24  NaN        NaN\n"
     ]
    }
   ],
   "source": [
    "dataset = pd.read_csv(\"AthletesDataset.csv\", delimiter=\",\", header=0)\n",
    "print(dataset.head(20))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We want to delete rows in the dataset where the “Result” or “Wind” column does not contain a decimal point (i.e., they have something like DQ, DNS, NWI...)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def data_cleaning(df):\n",
    "    def is_float(value):\n",
    "        try:\n",
    "            float(value)\n",
    "            return True\n",
    "        except:\n",
    "            return False\n",
    "\n",
    "    # Keep only rows where both 'Result' and 'Wind' are floats\n",
    "    df_cleaned = df[df['Result'].apply(is_float) & df['Wind'].apply(is_float)]\n",
    "    return df_cleaned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       Name     Surname Result  Wind      Date   PB   Olympics\n",
      "0   Oblique     Seville   9.82   0.9  01/06/24  NaN        NaN\n",
      "1   Oblique     Seville   9.98   0.4  27/06/24  NaN        NaN\n",
      "2   Oblique     Seville   9.83   0.4  28/06/24  NaN        NaN\n",
      "3   Oblique     Seville   9.82   0.9  28/06/24   PB        NaN\n",
      "4   Oblique     Seville   9.99   0.0  03/08/24  NaN       Heat\n",
      "5   Oblique     Seville   9.81   0.7  04/08/24  NaN  Semifinal\n",
      "6   Oblique     Seville   9.91   1.0  04/08/24  NaN      Final\n",
      "7      Noah       Lyles  10.01   1.7  13/04/24  NaN        NaN\n",
      "8      Noah       Lyles   9.96   3.0  28/04/24  NaN        NaN\n",
      "9      Noah       Lyles   9.85   0.9  01/06/24  NaN        NaN\n",
      "10     Noah       Lyles   9.92   0.3  22/06/24  NaN        NaN\n",
      "11     Noah       Lyles   9.80   3.0  23/06/24  NaN        NaN\n",
      "12     Noah       Lyles   9.83   0.4  24/06/24  NaN        NaN\n",
      "13     Noah       Lyles   9.81  -0.3  20/07/24   PB        NaN\n",
      "14     Noah       Lyles  10.04  -0.2  03/08/24  NaN       Heat\n",
      "15     Noah       Lyles   9.83   0.7  04/08/24  NaN  Semifinal\n",
      "16     Noah       Lyles   9.79   1.0  04/08/24  NaN      Final\n",
      "18    Louie  Hinchliffe  10.37   0.2  26/04/24  NaN        NaN\n",
      "19    Louie  Hinchliffe  10.21   0.8  27/04/24  NaN        NaN\n",
      "20    Louie  Hinchliffe  10.16   0.3  11/05/24  NaN        NaN\n"
     ]
    }
   ],
   "source": [
    "dataset = data_cleaning(dataset)\n",
    "print(dataset.head(20))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Normalization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We want to normalize the results in the dataset as they were all obtained will neutral wind (0.0 m/s)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset[\"Result\"] = pd.to_numeric(dataset[\"Result\"], errors='coerce')\n",
    "dataset[\"Wind\"] = pd.to_numeric(dataset[\"Wind\"], errors='coerce')\n",
    "dataset[\"Date\"] = pd.to_datetime(dataset[\"Date\"], format=\"%d/%m/%y\", errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       Name     Surname  Result  Wind       Date   PB   Olympics  Time_Norm\n",
      "0   Oblique     Seville    9.82   0.9 2024-06-01  NaN        NaN       9.86\n",
      "1   Oblique     Seville    9.98   0.4 2024-06-27  NaN        NaN      10.00\n",
      "2   Oblique     Seville    9.83   0.4 2024-06-28  NaN        NaN       9.85\n",
      "3   Oblique     Seville    9.82   0.9 2024-06-28   PB        NaN       9.86\n",
      "4   Oblique     Seville    9.99   0.0 2024-08-03  NaN       Heat       9.99\n",
      "5   Oblique     Seville    9.81   0.7 2024-08-04  NaN  Semifinal       9.84\n",
      "6   Oblique     Seville    9.91   1.0 2024-08-04  NaN      Final       9.95\n",
      "7      Noah       Lyles   10.01   1.7 2024-04-13  NaN        NaN      10.08\n",
      "8      Noah       Lyles    9.96   3.0 2024-04-28  NaN        NaN      10.07\n",
      "9      Noah       Lyles    9.85   0.9 2024-06-01  NaN        NaN       9.89\n",
      "10     Noah       Lyles    9.92   0.3 2024-06-22  NaN        NaN       9.93\n",
      "11     Noah       Lyles    9.80   3.0 2024-06-23  NaN        NaN       9.91\n",
      "12     Noah       Lyles    9.83   0.4 2024-06-24  NaN        NaN       9.85\n",
      "13     Noah       Lyles    9.81  -0.3 2024-07-20   PB        NaN       9.80\n",
      "14     Noah       Lyles   10.04  -0.2 2024-08-03  NaN       Heat      10.03\n",
      "15     Noah       Lyles    9.83   0.7 2024-08-04  NaN  Semifinal       9.86\n",
      "16     Noah       Lyles    9.79   1.0 2024-08-04  NaN      Final       9.83\n",
      "18    Louie  Hinchliffe   10.37   0.2 2024-04-26  NaN        NaN      10.38\n",
      "19    Louie  Hinchliffe   10.21   0.8 2024-04-27  NaN        NaN      10.25\n",
      "20    Louie  Hinchliffe   10.16   0.3 2024-05-11  NaN        NaN      10.17\n"
     ]
    }
   ],
   "source": [
    "def normalize_wind_result(row):\n",
    "    time = row[\"Result\"]\n",
    "    wind = row[\"Wind\"]\n",
    "    corrected_time = time - (0.0449 * wind) + (0.009459 * time * wind) - (0.0042 * wind ** 2)\n",
    "    return corrected_time\n",
    "\n",
    "# Apply the correction to the dataset\n",
    "dataset[\"Time_Norm\"] = dataset.apply(normalize_wind_result, axis=1)\n",
    "\n",
    "# Round the corrected time to two decimal places\n",
    "dataset[\"Time_Norm\"] = dataset[\"Time_Norm\"].round(2)\n",
    "\n",
    "print(dataset.head(20))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction to Exploratory Data Analysis (EDA)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's visualize graphically some data from our dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Season Best (SB) for each Athlete"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Best time for each athlete that has been done in 2024 season before the olympic semifinal (we want to predict that). It's different from the all time personal best (PB)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Surname  Season_Best\n",
      "26     Thompson         9.77\n",
      "19     Omanyala         9.79\n",
      "16        Lyles         9.81\n",
      "23      Seville         9.82\n",
      "20   Richardson         9.86\n",
      "24      Simbine         9.86\n",
      "4      Bednarek         9.87\n",
      "25       Tebogo         9.88\n",
      "15       Kerley         9.88\n",
      "18       Matadi         9.91\n",
      "5         Blake         9.92\n",
      "14       Jacobs         9.92\n",
      "2          Ashe         9.94\n",
      "12   Hinchliffe         9.95\n",
      "10     Espinosa         9.96\n",
      "1           Ali         9.96\n",
      "9         Eseme         9.98\n",
      "22   Sani Brown         9.99\n",
      "0         Ajayi        10.00\n",
      "8     De Grasse        10.00\n",
      "7    Brathwaite        10.00\n",
      "13       Hughes        10.00\n",
      "21       Saminu        10.02\n",
      "17  Maswanganyi        10.03\n",
      "3       Azamati        10.05\n",
      "11     Hartmann        10.06\n",
      "6       Boonson        10.08\n"
     ]
    }
   ],
   "source": [
    "szn_data = dataset[(dataset['Date'] >= '2024-01-01') & (dataset['Date'] < '2024-08-04') & (dataset['Wind'] <= 2.0)]\n",
    "SB = szn_data.groupby('Surname')['Result'].min().reset_index()\n",
    "SB = SB.sort_values('Result')\n",
    "SB.rename(columns={'Result': 'Season_Best'}, inplace=True)\n",
    "\n",
    "features_table = SB.copy()\n",
    "print(features_table)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set seaborn style\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "# Create the bar plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(data=SB, x='Surname', y='Season_Best', hue='Surname', palette='viridis', legend=False)\n",
    "\n",
    "# Add title and labels\n",
    "plt.title('Season Best 100m per Athlete (by Surname)', fontsize=16)\n",
    "plt.xlabel('Athlete (Surname)', fontsize=14)\n",
    "plt.ylabel('SB (seconds)', fontsize=14)\n",
    "\n",
    "# Set y-axis range and ticks (from 9.76 to 10.08, step 0.01)\n",
    "plt.ylim(9.76, 10.08)\n",
    "plt.yticks(np.arange(9.76, 10.08, 0.01))\n",
    "\n",
    "# Rotate x-axis labels if needed\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "# Show the plot\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Normalized Season Best (NSB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Surname  Season_Best  Normalized_SB\n",
      "0      Thompson         9.77           9.81\n",
      "1      Omanyala         9.79           9.85\n",
      "2         Lyles         9.81           9.80\n",
      "3       Seville         9.82           9.85\n",
      "4    Richardson         9.86           9.94\n",
      "5       Simbine         9.86           9.85\n",
      "6      Bednarek         9.87           9.89\n",
      "7        Tebogo         9.88           9.87\n",
      "8        Kerley         9.88           9.90\n",
      "9        Matadi         9.91           9.96\n",
      "10        Blake         9.92           9.95\n",
      "11       Jacobs         9.92           9.98\n",
      "12         Ashe         9.94          10.00\n",
      "13   Hinchliffe         9.95           9.93\n",
      "14     Espinosa         9.96           9.96\n",
      "15          Ali         9.96          10.02\n",
      "16        Eseme         9.98           9.99\n",
      "17   Sani Brown         9.99          10.01\n",
      "18        Ajayi        10.00          10.00\n",
      "19    De Grasse        10.00          10.07\n",
      "20   Brathwaite        10.00          10.05\n",
      "21       Hughes        10.00           9.98\n",
      "22       Saminu        10.02          10.03\n",
      "23  Maswanganyi        10.03           9.99\n",
      "24      Azamati        10.05          10.10\n",
      "25     Hartmann        10.06          10.05\n",
      "26      Boonson        10.08          10.13\n"
     ]
    }
   ],
   "source": [
    "szn_data = dataset[(dataset['Date'] >= '2024-01-01') & (dataset['Date'] < '2024-08-04')]\n",
    "Normalized_SB = szn_data.groupby('Surname')['Time_Norm'].min().reset_index()\n",
    "Normalized_SB = Normalized_SB.sort_values('Time_Norm')\n",
    "Normalized_SB.rename(columns={'Time_Norm': 'Normalized_SB'}, inplace=True)\n",
    "\n",
    "features_table = features_table.merge(Normalized_SB, on='Surname', how='left')\n",
    "print(features_table)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"whitegrid\")\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(data=Normalized_SB, x='Surname', y='Normalized_SB', hue='Surname', palette='viridis', legend=False)\n",
    "plt.title('Normalized Season Best 100m per Athlete (by Surname)', fontsize=16)\n",
    "plt.xlabel('Athlete (Surname)', fontsize=14)\n",
    "plt.ylabel('Normalized SB (seconds)', fontsize=14)\n",
    "plt.ylim(9.76, 10.08)\n",
    "plt.yticks(np.arange(9.76, 10.08, 0.01))\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mean of the results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we want to create a feature with the mean of the 2024 results before the olympics of each athlete."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Surname  Season_Best  Normalized_SB  Mean_Time\n",
      "0      Thompson         9.77           9.81       9.86\n",
      "1      Omanyala         9.79           9.85      10.02\n",
      "2         Lyles         9.81           9.80       9.93\n",
      "3       Seville         9.82           9.85       9.89\n",
      "4    Richardson         9.86           9.94      10.16\n",
      "5       Simbine         9.86           9.85      10.00\n",
      "6      Bednarek         9.87           9.89       9.98\n",
      "7        Tebogo         9.88           9.87      10.11\n",
      "8        Kerley         9.88           9.90      10.07\n",
      "9        Matadi         9.91           9.96      10.17\n",
      "10        Blake         9.92           9.95      10.10\n",
      "11       Jacobs         9.92           9.98      10.08\n",
      "12         Ashe         9.94          10.00      10.12\n",
      "13   Hinchliffe         9.95           9.93      10.11\n",
      "14     Espinosa         9.96           9.96      10.27\n",
      "15          Ali         9.96          10.02      10.11\n",
      "16        Eseme         9.98           9.99      10.16\n",
      "17   Sani Brown         9.99          10.01      10.24\n",
      "18        Ajayi        10.00          10.00      10.15\n",
      "19    De Grasse        10.00          10.07      10.14\n",
      "20   Brathwaite        10.00          10.05      10.19\n",
      "21       Hughes        10.00           9.98      10.06\n",
      "22       Saminu        10.02          10.03      10.13\n",
      "23  Maswanganyi        10.03           9.99      10.15\n",
      "24      Azamati        10.05          10.10      10.29\n",
      "25     Hartmann        10.06          10.05      10.18\n",
      "26      Boonson        10.08          10.13      10.34\n"
     ]
    }
   ],
   "source": [
    "# Filter season data\n",
    "szn_data = dataset[(dataset['Date'] >= '2024-01-01') & (dataset['Date'] < '2024-08-03')]\n",
    "\n",
    "# Calculate mean time per athlete\n",
    "Mean_Time = szn_data.groupby('Surname')['Time_Norm'].mean().reset_index()\n",
    "Mean_Time = Mean_Time.sort_values('Time_Norm').round(2)\n",
    "Mean_Time.rename(columns={'Time_Norm': 'Mean_Time'}, inplace=True)\n",
    "\n",
    "# Merge into features_table\n",
    "features_table = features_table.merge(Mean_Time, on='Surname', how='left')\n",
    "\n",
    "print(features_table)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(data=Mean_Time, x='Surname', y='Mean_Time', hue='Surname', palette='viridis', legend=False)\n",
    "\n",
    "plt.title('Mean_Time per Athlete (by Surname)', fontsize=16)\n",
    "plt.xlabel('Athlete (Surname)', fontsize=14)\n",
    "plt.ylabel('Mean_Time (seconds)', fontsize=14)\n",
    "\n",
    "plt.ylim(9.85, 10.34)\n",
    "plt.yticks(np.arange(9.85, 10.34, 0.01))\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Difference from PB - SB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Surname  Season_Best  Normalized_SB  Mean_Time  PB_Time  SB_PB_Diff\n",
      "0      Thompson         9.77           9.81       9.86     9.77        0.00\n",
      "1      Omanyala         9.79           9.85      10.02     9.77        0.02\n",
      "2         Lyles         9.81           9.80       9.93     9.81        0.00\n",
      "3       Seville         9.82           9.85       9.89     9.82        0.00\n",
      "4    Richardson         9.86           9.94      10.16     9.86        0.00\n",
      "5       Simbine         9.86           9.85      10.00     9.84        0.02\n",
      "6      Bednarek         9.87           9.89       9.98     9.87        0.00\n",
      "7        Tebogo         9.88           9.87      10.11     9.88        0.00\n",
      "8        Kerley         9.88           9.90      10.07     9.76        0.12\n",
      "9        Matadi         9.91           9.96      10.17     9.91        0.00\n",
      "10        Blake         9.92           9.95      10.10     9.89        0.03\n",
      "11       Jacobs         9.92           9.98      10.08     9.80        0.12\n",
      "12         Ashe         9.94          10.00      10.12     9.94        0.00\n",
      "13   Hinchliffe         9.95           9.93      10.11     9.95        0.00\n",
      "14     Espinosa         9.96           9.96      10.27     9.96        0.00\n",
      "15          Ali         9.96          10.02      10.11     9.96        0.00\n",
      "16        Eseme         9.98           9.99      10.16     9.98        0.00\n",
      "17   Sani Brown         9.99          10.01      10.24     9.97        0.02\n",
      "18        Ajayi        10.00          10.00      10.15    10.00        0.00\n",
      "19    De Grasse        10.00          10.07      10.14     9.89        0.11\n",
      "20   Brathwaite        10.00          10.05      10.19    10.00        0.00\n",
      "21       Hughes        10.00           9.98      10.06     9.83        0.17\n",
      "22       Saminu        10.02          10.03      10.13    10.02        0.00\n",
      "23  Maswanganyi        10.03           9.99      10.15     9.91        0.12\n",
      "24      Azamati        10.05          10.10      10.29     9.90        0.15\n",
      "25     Hartmann        10.06          10.05      10.18     9.92        0.14\n",
      "26      Boonson        10.08          10.13      10.34    10.06        0.02\n"
     ]
    }
   ],
   "source": [
    "# Filter only rows where PB column is 'PB'\n",
    "pb_data = dataset[dataset['PB'] == 'PB']\n",
    "PB = pb_data.groupby('Surname')['Result'].min().reset_index()\n",
    "\n",
    "PB.rename(columns={'Result': 'PB_Time'}, inplace=True)\n",
    "\n",
    "# Merge PB into features_table\n",
    "features_table = features_table.merge(PB, on='Surname', how='left')\n",
    "\n",
    "# Calculate difference: Season_Best - PB_Time (positive if Season_Best is slower than PB, zero if equal)\n",
    "features_table['SB_PB_Diff'] = (features_table['Season_Best'] - features_table['PB_Time']).round(2)\n",
    "\n",
    "print(features_table)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sort features_table by SB_PB_Diff for clean plotting\n",
    "plot_data = features_table.sort_values('SB_PB_Diff')\n",
    "\n",
    "\n",
    "sns.set(style=\"whitegrid\")\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(data=plot_data, x='Surname', y='SB_PB_Diff', hue='Surname', palette='viridis', legend=False)\n",
    "plt.title('Difference Between Season Best and PB per Athlete', fontsize=16)\n",
    "plt.xlabel('Athlete (Surname)', fontsize=14)\n",
    "plt.ylabel('Season Best - PB (seconds)', fontsize=14)\n",
    "plt.ylim(0, 0.20)\n",
    "plt.yticks(np.arange(0, 0.20, 0.01))\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Personal Best (PB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Surname  Season_Best  Normalized_SB  Mean_Time  PB_Time  SB_PB_Diff  \\\n",
      "0      Thompson         9.77           9.81       9.86     9.77        0.00   \n",
      "1      Omanyala         9.79           9.85      10.02     9.77        0.02   \n",
      "2         Lyles         9.81           9.80       9.93     9.81        0.00   \n",
      "3       Seville         9.82           9.85       9.89     9.82        0.00   \n",
      "4    Richardson         9.86           9.94      10.16     9.86        0.00   \n",
      "5       Simbine         9.86           9.85      10.00     9.84        0.02   \n",
      "6      Bednarek         9.87           9.89       9.98     9.87        0.00   \n",
      "7        Tebogo         9.88           9.87      10.11     9.88        0.00   \n",
      "8        Kerley         9.88           9.90      10.07     9.76        0.12   \n",
      "9        Matadi         9.91           9.96      10.17     9.91        0.00   \n",
      "10        Blake         9.92           9.95      10.10     9.89        0.03   \n",
      "11       Jacobs         9.92           9.98      10.08     9.80        0.12   \n",
      "12         Ashe         9.94          10.00      10.12     9.94        0.00   \n",
      "13   Hinchliffe         9.95           9.93      10.11     9.95        0.00   \n",
      "14     Espinosa         9.96           9.96      10.27     9.96        0.00   \n",
      "15          Ali         9.96          10.02      10.11     9.96        0.00   \n",
      "16        Eseme         9.98           9.99      10.16     9.98        0.00   \n",
      "17   Sani Brown         9.99          10.01      10.24     9.97        0.02   \n",
      "18        Ajayi        10.00          10.00      10.15    10.00        0.00   \n",
      "19    De Grasse        10.00          10.07      10.14     9.89        0.11   \n",
      "20   Brathwaite        10.00          10.05      10.19    10.00        0.00   \n",
      "21       Hughes        10.00           9.98      10.06     9.83        0.17   \n",
      "22       Saminu        10.02          10.03      10.13    10.02        0.00   \n",
      "23  Maswanganyi        10.03           9.99      10.15     9.91        0.12   \n",
      "24      Azamati        10.05          10.10      10.29     9.90        0.15   \n",
      "25     Hartmann        10.06          10.05      10.18     9.92        0.14   \n",
      "26      Boonson        10.08          10.13      10.34    10.06        0.02   \n",
      "\n",
      "    Personal_Best  \n",
      "0            9.77  \n",
      "1            9.77  \n",
      "2            9.81  \n",
      "3            9.82  \n",
      "4            9.86  \n",
      "5            9.84  \n",
      "6            9.87  \n",
      "7            9.88  \n",
      "8            9.76  \n",
      "9            9.91  \n",
      "10           9.89  \n",
      "11           9.80  \n",
      "12           9.94  \n",
      "13           9.95  \n",
      "14           9.96  \n",
      "15           9.96  \n",
      "16           9.98  \n",
      "17           9.97  \n",
      "18          10.00  \n",
      "19           9.89  \n",
      "20          10.00  \n",
      "21           9.83  \n",
      "22          10.02  \n",
      "23           9.91  \n",
      "24           9.90  \n",
      "25           9.92  \n",
      "26          10.06  \n"
     ]
    }
   ],
   "source": [
    "pb_data = dataset[dataset[\"PB\"] == \"PB\"]\n",
    "\n",
    "personal_best = pb_data.groupby(\"Surname\")[\"Result\"].min().reset_index()\n",
    "personal_best.rename(columns={\"Result\": \"Personal_Best\"}, inplace=True)\n",
    "\n",
    "features_table = features_table.merge(personal_best, on=\"Surname\", how=\"left\")\n",
    "\n",
    "print(features_table)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Most recent time before the Olympic heats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Surname  Season_Best  Normalized_SB  Mean_Time  PB_Time  SB_PB_Diff  \\\n",
      "0      Thompson         9.77           9.81       9.86     9.77        0.00   \n",
      "1      Omanyala         9.79           9.85      10.02     9.77        0.02   \n",
      "2         Lyles         9.81           9.80       9.93     9.81        0.00   \n",
      "3       Seville         9.82           9.85       9.89     9.82        0.00   \n",
      "4    Richardson         9.86           9.94      10.16     9.86        0.00   \n",
      "5       Simbine         9.86           9.85      10.00     9.84        0.02   \n",
      "6      Bednarek         9.87           9.89       9.98     9.87        0.00   \n",
      "7        Tebogo         9.88           9.87      10.11     9.88        0.00   \n",
      "8        Kerley         9.88           9.90      10.07     9.76        0.12   \n",
      "9        Matadi         9.91           9.96      10.17     9.91        0.00   \n",
      "10        Blake         9.92           9.95      10.10     9.89        0.03   \n",
      "11       Jacobs         9.92           9.98      10.08     9.80        0.12   \n",
      "12         Ashe         9.94          10.00      10.12     9.94        0.00   \n",
      "13   Hinchliffe         9.95           9.93      10.11     9.95        0.00   \n",
      "14     Espinosa         9.96           9.96      10.27     9.96        0.00   \n",
      "15          Ali         9.96          10.02      10.11     9.96        0.00   \n",
      "16        Eseme         9.98           9.99      10.16     9.98        0.00   \n",
      "17   Sani Brown         9.99          10.01      10.24     9.97        0.02   \n",
      "18        Ajayi        10.00          10.00      10.15    10.00        0.00   \n",
      "19    De Grasse        10.00          10.07      10.14     9.89        0.11   \n",
      "20   Brathwaite        10.00          10.05      10.19    10.00        0.00   \n",
      "21       Hughes        10.00           9.98      10.06     9.83        0.17   \n",
      "22       Saminu        10.02          10.03      10.13    10.02        0.00   \n",
      "23  Maswanganyi        10.03           9.99      10.15     9.91        0.12   \n",
      "24      Azamati        10.05          10.10      10.29     9.90        0.15   \n",
      "25     Hartmann        10.06          10.05      10.18     9.92        0.14   \n",
      "26      Boonson        10.08          10.13      10.34    10.06        0.02   \n",
      "\n",
      "    Personal_Best  Recent_Form  \n",
      "0            9.77         9.88  \n",
      "1            9.77        10.05  \n",
      "2            9.81         9.80  \n",
      "3            9.82         9.85  \n",
      "4            9.86        10.04  \n",
      "5            9.84         9.85  \n",
      "6            9.87         9.93  \n",
      "7            9.88         9.87  \n",
      "8            9.76         9.90  \n",
      "9            9.91         9.96  \n",
      "10           9.89         9.95  \n",
      "11           9.80         9.98  \n",
      "12           9.94        10.11  \n",
      "13           9.95         9.95  \n",
      "14           9.96        10.34  \n",
      "15           9.96        10.02  \n",
      "16           9.98        10.12  \n",
      "17           9.97        10.22  \n",
      "18          10.00        10.00  \n",
      "19           9.89        10.11  \n",
      "20          10.00        10.26  \n",
      "21           9.83         9.98  \n",
      "22          10.02        10.03  \n",
      "23           9.91        10.06  \n",
      "24           9.90        10.24  \n",
      "25           9.92        10.08  \n",
      "26          10.06        10.63  \n"
     ]
    }
   ],
   "source": [
    "recent_data = dataset[dataset[\"Date\"] < \"2024-08-03\"]\n",
    "recent_data = recent_data.sort_values(\"Date\")\n",
    "\n",
    "recent_form = recent_data.groupby(\"Surname\").tail(1)[[\"Surname\", \"Time_Norm\"]].rename(columns={\"Time_Norm\": \"Recent_Form\"})\n",
    "features_table = features_table.merge(recent_form, on=\"Surname\", how=\"left\")\n",
    "\n",
    "print(features_table)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predicting the outcome of the Semifinals"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to do that, we will use an Heuristic Ranking Model, a model that doesn't learn from data but that uses fixed rules and weights to make predictions instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Semifinal 1\n",
      "Lyles (9.839) Q\n",
      "Seville (9.862) Q\n",
      "Hinchliffe (9.990)\n",
      "Ali (10.047)\n",
      "Maswanganyi (10.059)\n",
      "Ashe (10.069)\n",
      "Eseme (10.080)\n",
      "Brathwaite (10.155)\n",
      "Azamati (10.199)\n",
      "\n",
      "Semifinal 2\n",
      "Simbine (9.895) Q\n",
      "Bednarek (9.929) Q\n",
      "Tebogo (9.942) Q\n",
      "Blake (9.995)\n",
      "Jacobs (10.010)\n",
      "Matadi (10.023)\n",
      "Ajayi (10.045)\n",
      "Hartmann (10.098)\n",
      "Espinosa (10.167)\n",
      "\n",
      "Semifinal 3\n",
      "Thompson (9.846) Q\n",
      "Kerley (9.951) Q\n",
      "Omanyala (9.961) Q\n",
      "Hughes (10.004)\n",
      "Richardson (10.036)\n",
      "Saminu (10.060)\n",
      "De Grasse (10.103)\n",
      "Sani Brown (10.142)\n",
      "Boonson (10.343)\n",
      "\n",
      "Qualified for the final\n",
      "Lyles (9.839)\n",
      "Thompson (9.846)\n",
      "Seville (9.862)\n",
      "Simbine (9.895)\n",
      "Bednarek (9.929)\n",
      "Tebogo (9.942)\n",
      "Kerley (9.951)\n",
      "Omanyala (9.961)\n"
     ]
    }
   ],
   "source": [
    "# --- 1. Calculate the combined score (lower is better) ---\n",
    "# The weights can be adjusted as needed\n",
    "features_table[\"Score\"] = (\n",
    "    0.4 * features_table[\"Normalized_SB\"] +\n",
    "    0.3 * features_table[\"Mean_Time\"] +\n",
    "    0.3 * features_table[\"Recent_Form\"]\n",
    ")\n",
    "\n",
    "# --- 2. Rank all athletes by score ---\n",
    "ranked = features_table.sort_values(\"Score\").reset_index(drop=True)\n",
    "\n",
    "# Select the top 8 athletes with the lowest score as predicted finalists\n",
    "qualified_names = ranked.head(8)[\"Surname\"].tolist()\n",
    "\n",
    "# --- 3. Use the full list as semifinalists obtaining the original order\n",
    "semifinalists_names = dataset[dataset[\"Olympics\"] == \"Semifinal\"][\"Surname\"].tolist()[:27]\n",
    "semifinalists = (\n",
    "    features_table[features_table[\"Surname\"].isin(semifinalists_names)]\n",
    "    .assign(OriginalOrder=lambda df: df[\"Surname\"].apply(semifinalists_names.index))\n",
    "    .sort_values(\"OriginalOrder\")\n",
    "    .reset_index(drop=True)\n",
    ")\n",
    "\n",
    "# --- 4. Print the 3 semifinals (3 groups of 9), sorted internally by score ---\n",
    "for i in range(3):\n",
    "    print(f\"\\nSemifinal {i+1}\")\n",
    "    group = semifinalists.iloc[i*9:(i+1)*9].sort_values(\"Score\")\n",
    "    for _, row in group.iterrows():\n",
    "        q = \" Q\" if row[\"Surname\"] in qualified_names else \"\"\n",
    "        print(f\"{row['Surname']} ({row['Score']:.3f}){q}\")\n",
    "\n",
    "# --- 5. Print the qualifieds ---\n",
    "print(\"\\nQualified for the final\")\n",
    "for _, row in ranked.head(8).iterrows():\n",
    "    print(f\"{row['Surname']} ({row['Score']:.3f})\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Semifinal real result (not normalized)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Surname  Season_Best  Normalized_SB  Mean_Time  PB_Time  SB_PB_Diff  \\\n",
      "0      Thompson         9.77           9.81       9.86     9.77        0.00   \n",
      "1      Omanyala         9.79           9.85      10.02     9.77        0.02   \n",
      "2         Lyles         9.81           9.80       9.93     9.81        0.00   \n",
      "3       Seville         9.82           9.85       9.89     9.82        0.00   \n",
      "4    Richardson         9.86           9.94      10.16     9.86        0.00   \n",
      "5       Simbine         9.86           9.85      10.00     9.84        0.02   \n",
      "6      Bednarek         9.87           9.89       9.98     9.87        0.00   \n",
      "7        Tebogo         9.88           9.87      10.11     9.88        0.00   \n",
      "8        Kerley         9.88           9.90      10.07     9.76        0.12   \n",
      "9        Matadi         9.91           9.96      10.17     9.91        0.00   \n",
      "10        Blake         9.92           9.95      10.10     9.89        0.03   \n",
      "11       Jacobs         9.92           9.98      10.08     9.80        0.12   \n",
      "12         Ashe         9.94          10.00      10.12     9.94        0.00   \n",
      "13   Hinchliffe         9.95           9.93      10.11     9.95        0.00   \n",
      "14     Espinosa         9.96           9.96      10.27     9.96        0.00   \n",
      "15          Ali         9.96          10.02      10.11     9.96        0.00   \n",
      "16        Eseme         9.98           9.99      10.16     9.98        0.00   \n",
      "17   Sani Brown         9.99          10.01      10.24     9.97        0.02   \n",
      "18        Ajayi        10.00          10.00      10.15    10.00        0.00   \n",
      "19    De Grasse        10.00          10.07      10.14     9.89        0.11   \n",
      "20   Brathwaite        10.00          10.05      10.19    10.00        0.00   \n",
      "21       Hughes        10.00           9.98      10.06     9.83        0.17   \n",
      "22       Saminu        10.02          10.03      10.13    10.02        0.00   \n",
      "23  Maswanganyi        10.03           9.99      10.15     9.91        0.12   \n",
      "24      Azamati        10.05          10.10      10.29     9.90        0.15   \n",
      "25     Hartmann        10.06          10.05      10.18     9.92        0.14   \n",
      "26      Boonson        10.08          10.13      10.34    10.06        0.02   \n",
      "\n",
      "    Personal_Best  Recent_Form   Score  Semifinal_Time  \n",
      "0            9.77         9.88   9.846            9.80  \n",
      "1            9.77        10.05   9.961           10.08  \n",
      "2            9.81         9.80   9.839            9.83  \n",
      "3            9.82         9.85   9.862            9.81  \n",
      "4            9.86        10.04  10.036            9.95  \n",
      "5            9.84         9.85   9.895            9.87  \n",
      "6            9.87         9.93   9.929            9.93  \n",
      "7            9.88         9.87   9.942            9.91  \n",
      "8            9.76         9.90   9.951            9.84  \n",
      "9            9.91         9.96  10.023           10.18  \n",
      "10           9.89         9.95   9.995           10.06  \n",
      "11           9.80         9.98  10.010            9.92  \n",
      "12           9.94        10.11  10.069           10.08  \n",
      "13           9.95         9.95   9.990            9.97  \n",
      "14           9.96        10.34  10.167           10.21  \n",
      "15           9.96        10.02  10.047           10.14  \n",
      "16           9.98        10.12  10.080           10.00  \n",
      "17           9.97        10.22  10.142            9.96  \n",
      "18          10.00        10.00  10.045           10.13  \n",
      "19           9.89        10.11  10.103            9.98  \n",
      "20          10.00        10.26  10.155           10.15  \n",
      "21           9.83         9.98  10.004           10.01  \n",
      "22          10.02        10.03  10.060           10.05  \n",
      "23           9.91        10.06  10.059           10.01  \n",
      "24           9.90        10.24  10.199           10.17  \n",
      "25           9.92        10.08  10.098           10.16  \n",
      "26          10.06        10.63  10.343           10.14  \n"
     ]
    }
   ],
   "source": [
    "semifinal_times = dataset[dataset['Olympics'] == 'Semifinal'][['Surname', 'Result']]\n",
    "semifinal_times.rename(columns={'Result': 'Semifinal_Time'}, inplace=True)\n",
    "features_table = features_table.merge(semifinal_times, on='Surname', how='left')\n",
    "\n",
    "print(features_table)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Linear Regression"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Predicting the final result using the predicted qualified athletes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Predicted Final Times — Linear Regression\n",
      "--------------------------------------------\n",
      "Thompson        9.80 s\n",
      "Seville         9.81 s\n",
      "Lyles           9.83 s\n",
      "Kerley          9.84 s\n",
      "Simbine         9.87 s\n",
      "Tebogo          9.91 s\n",
      "Bednarek        9.93 s\n",
      "Omanyala        10.08 s\n",
      "\n",
      "Predicted Final Times — Linear Regression (with Wind +1.0)\n",
      "-------------------------------------------------------------\n",
      "Thompson        9.76 s\n",
      "Seville         9.77 s\n",
      "Lyles           9.79 s\n",
      "Kerley          9.80 s\n",
      "Simbine         9.83 s\n",
      "Tebogo          9.87 s\n",
      "Bednarek        9.89 s\n",
      "Omanyala        10.03 s\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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RqVKlVLZsWTk4OCgwMFChoaFycXGRv7+/wsPDtWrVKkn/d0gqLYUKFVJgYKBmzZqlW7duqU6dOoqKitKsWbNksVisAdDDw0Pjx4/XrVu39PTTT+uXX37Rrl271Lt3b0n3QtfixYtVpEgR1ahRQ1FRUVqyZIn8/f3l7u6e6pylfv366YcfftCbb76pt99+W46Ojlq+fLkiIyO1cOHCTF2nmeWll17Sf/7zH40fP14///yzmjdvrrx58+rw4cNasmSJChUqZA2qzz33nOrUqaORI0cqKipK3t7eCg8P14IFC9SuXTvrxQADBgzQqFGj5ODgoMaNGysmJkZz5sxRVFRUqgtL0svBwUHvvfeexo4dq8KFC6tJkyY6ffq0QkND1blz51R7xhwcHDKtjpQLRf773/+qQoUKql69+iP7DvAkEdKALPLHH3+keSfzV155JcMhrX79+lq0aJFmz56toKAgOTo6qnLlylqyZIn1BOlhw4YpMTFRM2fOVEJCgkqVKqW+ffvq5MmT2rFjh839xB5X+fLl1bVrVy1evFirVq1Sly5dNGnSJM2bN0+rV6/WpUuXVLhwYb300kvq37+/dc9F7969ZRiG1qxZo0WLFql69eoaPHiwJk2a9Mjz5Pr376+iRYtq5cqVWrhwoQoUKKCAgAANHDjQ+kd39uzZ+uijjzRr1izduHFDJUqUUL9+/aznsr3//vtycnLSunXr9PHHH8vNzU1NmjR54BWYzzzzjFauXKmPPvpIw4cPl8ViUbVq1bRs2TLr3kMzGj9+vOrUqaPPP/9co0aN0u3bt1WyZEl17NhRPXv2VKFChSTJevVtaGioli5dquvXr6tUqVIaOHCgunfvbp1fx44dlS9fPi1cuFBr1qxR3rx5VbNmTU2fPl2lS5fOcJ2dO3dW3rx5tWjRIq1Zs0YeHh7q1auXevXqlWb7zKrD1dVV3bt315o1a7Rr1y7t2bPnkX0HeJIsBk+WBfAE3b17V1u3blWdOnVsHkm0YsUKjR8/Xvv27bOedwQAORkhDcAT17JlSzk5Oalv374qVKiQTpw4oZkzZ+r555/nOYoA8P8R0gA8cZGRkfroo4+0b98+xcTEqGTJkmrTpo169+6d6r5YAJBTEdIAAABMiFtwAAAAmBAhDQAAwIQIaQAAACaU4++TdujQIRmGwcnKAADgiUhMTJTFYkn12LO/yvF70gzDeOjDdpGaYRhKSEhgveVg9AFI9APcQz+wX3qzR47fk5ayB61q1arZXMnfx507d3Ts2DFVrFjxkXeHxz8TfQAS/QD30A/sd+TIkXS1y/F70gAAAMyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATMlVImzdvnrp27frQNjdu3NCgQYPk5+cnf39/jRkzRrGxsU+oQgAAgCfDNA9YX7FihWbOnKnatWs/tF1QUJBiY2O1dOlSxcTE6IMPPtCdO3c0ZcqUJ1QpAABA1sv2kBYVFaUPP/xQ+/btU9myZR/a9tChQwoPD9e2bdtUoUIFSdLYsWMVGBiogQMHqnjx4k+gYgAAgKyX7Yc7f/31Vzk6Omrz5s2qXr36Q9seOHBARYsWtQY0SfL395fFYtHBgwezulQAAIAnJtv3pDVp0kRNmjRJV9uoqCiVKFHCZpiTk5MKFiyoixcvZrgGwzB0586dDE+f06ScA8i5gDkXfQAS/eBxWCyW7C4h0yQkJMjFxUUJCQn/qOUyDCNL552edZXtIc0esbGxcnJySjU8T548io+Pz/B8ExMTdezYsccpLUc6c+ZMdpeAbEYfgEQ/sJejo6N8fCord26H7C4lU7i4uKhgwYLZXUamuns3SUeP/qrExMQse4208sxf/a1CmrOzsxISElINj4+PV968eTM8X0dHR1WsWPFxSstRYmNjdebMGZUtW1YuLi7ZXQ6yAX0AEv0goywWi3LndtD0FQd1LurP7C4Hf1GquJsGd66lZ555Jsv2pp08eTJd7f5WIc3Dw0PffvutzbCEhATdvHlTxYoVy/B8LRbLY4W8nMrFxYX1lsPRByDRDzLqXNSfOnU+OrvLwANk5ReP9B4WzvYLB+zh5+enS5cu6ezZs9Zh4eHhkqRatWplV1kAAACZztQhLSkpSVeuXFFcXJwkqXr16qpZs6YGDBigw4cPa+/evRo1apRefvllbr8BAAD+UUwd0i5evKj69etr27Ztku7tHpw9e7ZKlSqlt956S/3799dzzz2n0aNHZ2+hAAAAmcxU56RNnjzZ5vdSpUrp+PHjNsMKFy6s0NDQJ1kWAADAE2fqPWkAAAA5FSENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEwo20NacnKyQkND1aBBA/n6+qpXr16KjIx8YPtr165p0KBBqlu3rurUqaMBAwYoKirqCVYMAACQ9bI9pM2ZM0crV67UuHHjtHr1aiUnJyswMFAJCQlptu/fv78uXLigJUuWaMmSJbpw4YLefffdJ1w1AABA1srWkJaQkKDFixcrKChIjRo1kre3t0JCQnTp0iVt3749VfuYmBiFh4erV69eqlSpknx8fPT222/ryJEjunnz5pNfAAAAgCySOztfPCIiQrdv31ZAQIB1WP78+eXj46P9+/erVatWNu2dnZ2VL18+bdy4Uf7+/pKkTZs2qVy5csqfP3+G6zAMQ3fu3Mnw9DlNbGyszf/IeegDkOgHGWWxWOTi4pLdZeARYmNjZRhGlszbMAxZLJZHtsvWkHbp0iVJUokSJWyGFytWzDrufk5OTpo8ebJGjRql2rVry2KxqFixYlq+fLly5cr4TsHExEQdO3Ysw9PnVGfOnMnuEpDN6AOQ6Af2cnFxkY+PT3aXgUc4ffp0ln4BcXJyemSbbA1pKQv/10Lz5Mmj6OjoVO0Nw9CxY8dUo0YNBQYGKikpSSEhIXrnnXe0atUqubq6ZqgOR0dHVaxYMUPT5kSxsbE6c+aMypYty7fBHIo+AIl+kFHp2YOC7FeuXLks25N28uTJdLXL1pDm7Ows6d65aSk/S1J8fHyab/gvv/xSy5cv186dO62B7JNPPlHjxo21du1adevWLUN1WCwW5c2bN0PT5mQuLi6stxyOPgCJfoB/pqz84pHeoJ6tFw6kHOa8fPmyzfDLly+rePHiqdofOHBA5cqVs9ljVqBAAZUrV05nz57N2mIBAACeoGwNad7e3nJ1ddW+ffusw2JiYnT06FH5+fmlau/h4aGzZ88qPj7eOuzOnTs6d+6cypYt+yRKBgAAeCKyNaQ5OTmpS5cumj59ur777jtFRERowIAB8vDwULNmzZSUlKQrV64oLi5OkvTyyy9LunevtIiICEVERGjgwIHKkyeP2rdvn41LAgAAkLmy/Wa2QUFBeuWVVzRy5Ei98cYbcnBw0KJFi+To6KiLFy+qfv362rZtm6R7V32uXLlShmHorbfeUvfu3eXo6KiVK1fKzc0tm5cEAAAg82TrhQOS5ODgoODgYAUHB6caV6pUKR0/ftxmWIUKFfTJJ588qfIAAACyRbbvSQMAAEBqhDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBCuTM64alTp7Rnzx5dvnxZXbt2VWRkpLy9veXq6pqZ9QEAAORIdoe05ORkjRo1SuvWrZNhGLJYLGrRooXmzJmjP/74Q8uXL5eHh0dW1AoAAJBj2H24c86cOdqyZYvGjx+vPXv2yDAMSVJwcLCSk5MVEhKS6UUCAADkNHaHtHXr1ikoKEgdOnRQwYIFrcMrVaqkoKAg7dmzJzPrAwAAyJHsDmlXr15VpUqV0hxXvHhxxcTEPHZRAAAAOZ3dIa1MmTLatWtXmuPCw8NVpkyZxy4KAAAgp7P7woG33npLo0aNUmJioho3biyLxaKzZ89q3759Wrx4sYYNG5YVdQIAAOQodoe0jh076vr165o7d65WrVolwzA0cOBAOTo6KjAwUG+88UZW1AkAAJCjZOg+ab1791bnzp31008/KTo6Wvnz51f16tVtLiQAAABAxmX4Zraurq567rnnMrMWAAAA/H92h7Q333zzkW2WLVuWoWIAAABwj90hLeXmtfe7c+eOTp06pbx586pZs2aZUhgAAEBOZndI++yzz9IcHh0drV69eql8+fKPXRQAAEBOZ/d90h6kQIECevvtt7V06dLMmiUAAECOlWkhLcW1a9cye5YAAAA5jt2HO/fv359qWFJSki5duqQ5c+aocuXKmVIYAABATmZ3SOvatassFkuq4YZhqESJEhoxYkSmFAYAAJCT2R3S0rq9hsVikaurq7y8vJQrV6YfQQUAAMhx7A5p/v7+WVEHAAAA7pOukDZ8+PB0z9BisWjixIkZLggAAADpDGn79u1L9wzTOl8NAAAA9klXSNuxY0dW1wEAAID7ZOpZ/nfu3NEPP/yQmbMEAADIkey+cOD8+fMaPXq0wsPDlZCQkGabY8eOPXZhAAAAOZndIW3SpEn66aef1LFjR/30009ycXGRr6+v9uzZoxMnTigsLCwr6gQAAMhR7D7cuX//fg0YMEAjR45U+/btlSdPHgUHB2vdunXy8/PTd999lxV1AgAA5Ch2h7Tbt2/Ly8tLklS+fHkdPXpUkuTg4KBOnTpp7969mVshAABADmR3SCtWrJiuXr0qSSpTpoyio6N15coVSVLBggV5wDoAAEAmsDukNWzYUDNnztShQ4f01FNPycPDQ4sXL9atW7e0bt06FS9e3K75JScnKzQ0VA0aNJCvr6969eqlyMjIB7ZPTEzUjBkzrO27dOnChQoAAOAfx+6QFhQUpPz582vWrFmSpAEDBujTTz+Vn5+ftmzZou7du9s1vzlz5mjlypUaN26cVq9ereTkZAUGBj7wytHRo0dr/fr1mjhxotatWyd3d3f16tVLf/75p72LAgAAYFrpurqza9eu6tixo1588UUVKlRIX3zxhS5fvixJatOmjUqWLKn//e9/qlatml3P9kxISNDixYs1ePBgNWrUSJIUEhKiBg0aaPv27WrVqpVN+8jISK1bt06ffPKJGjRoIEkaP368Xn75Zf3yyy8KCAhI92sDAACYWbpC2s2bNzVkyBCNGzdOrVq1UseOHeXj42MdX7t2bdWuXdvuF4+IiNDt27dtwlX+/Pnl4+Oj/fv3pwppe/bskZubm5577jmb9jwRAQAA/NOkK6Rt2bJFv/76qzZs2KBt27Zp9erV8vLyUseOHdW6dWvlz58/Qy9+6dIlSVKJEiVshhcrVsw67n6nT59W6dKltX37ds2fP19RUVHy8fHRsGHDVKFChQzVIEmGYejOnTsZnj6niY2NtfkfOQ99ABL9IKMsFotcXFyyuww8QmxsrAzDyJJ5G4aRrmedp/tmtpUrV1blypU1bNgw7dq1Sxs3btTkyZM1depUPf/88+rYsaPq1q1rV5Epb2wnJyeb4Xny5FF0dHSq9rdu3dLZs2c1Z84cDRkyRPnz59fcuXPVqVMnbdu2TYULF7br9VMkJiZy8UEGnDlzJrtLQDajD0CiH9jLxcXF5mgUzOn06dNZ+gXkr9knLXY/cSB37txq2rSpmjZtqujoaG3dulWbN29Wt27dVLp0aXXo0EF9+vRJ17ycnZ0l3Ts3LeVnSYqPj0/zW0bu3Ll169YthYSEWPechYSEqGHDhtqwYYMCAwPtXRxJkqOjoypWrJihaXOi2NhYnTlzRmXLluXbYA5FH4BEP8io9OxBQfYrV65clu1JO3nyZLra2R3S7legQAF17txZnTt31v79+/Wvf/1Ls2bNSndISznMefnyZT399NPW4ZcvX7beMPd+Hh4eyp07t82hTWdnZ5UuXVrnzp3L8HJYLBblzZs3w9PnVC4uLqy3HI4+AIl+gH+mrPzikd6gbvctOO535coVLV26VK+88orefPNNJSQk6J133kn39N7e3nJ1ddW+ffusw2JiYnT06FH5+fmlau/n56e7d+/qyJEj1mFxcXGKjIxUmTJlHmdRAAAATMXuPWm3b9/W9u3btWXLFu3bt08ODg56/vnnNWDAANWrV8+u3bhOTk7q0qWLpk+fLnd3dz311FOaNm2aPDw81KxZMyUlJen69etyc3OTs7OzateurXr16mno0KEaO3asChYsqNDQUDk4OKht27b2LgoAAIBppSuk3b17V7t27dKWLVv0/fffKy4uTpUqVdLw4cPVunVrFShQIMMFBAUF6e7duxo5cqTi4uLk5+enRYsWydHRUefOnVPTpk01adIktW/fXpIUFham6dOnq1+/foqLi1PNmjW1bNkyubu7Z7gGAAAAs0lXSHv22WcVExOj/Pnzq0OHDurQoUOmXZni4OCg4OBgBQcHpxpXqlQpHT9+3GaYq6urRo8erdGjR2fK6wMAAJhRukJa5cqV1aFDB73wwgvpumQUAAAAjyddIW3x4sVZXQcAAADu81hXdwIAACBrENIAAABMiJAGAABgQpke0tJ6MDoAAADsY3dIq1Spkg4fPpzmuAMHDqhFixaPXRQAAEBOl+6rO+/cuSNJMgxDX3zxhX744YdU7Q4dOsQtOgAAADJBukJafHy8Zs+eLeneQ0G/+OKLVG1y5colNzc39e3bN3MrBAAAyIHSFdL69u1rDV/e3t76/PPPVa1atSwtDAAAICez+wHrERERWVEHAAAA7mN3SJOkPXv2aOfOnYqNjVVycrLNOIvFookTJ2ZKcQAAADmV3SFt8eLFmjp1qvLkySN3d3dZLBab8X/9HQAAAPazO6QtX75crVu31oQJE7iSEwAAIIvYfZ+0q1ev6pVXXiGgAQAAZCG7Q5qPj49+++23rKgFAAAA/5/dhztHjBih/v37K2/evKpevbpcXFxStSlZsmSmFAcAAJBT2R3S3njjDSUnJ2vEiBEPvEjg2LFjj10YAABATmZ3SBs/fnxW1AEAAID72B3S2rVrlxV1AAAA4D4ZupltQkKC1q5dq//85z+6cuWKJk6cqPDwcFWuXJnHRQEAAGQCu6/uvH79ujp06KAJEybo7NmzOnz4sOLi4vT999+ra9euOnToUFbUCQAAkKPYHdKmTp2q27dva9u2bdqwYYMMw5AkhYaGqmrVqgoNDc30IgEAAHIau0Pazp079f7776tMmTI2V3fmyZNHPXr00K+//pqpBQIAAOREdoe0+Ph4FSxYMM1xDg4OSkxMfNyaAAAAcjy7Q1rVqlW1cuXKNMdt2bJFVapUeeyiAAAAcjq7r+58//331a1bN7Vt21YNGzaUxWLR1q1bFRYWpt27d2vhwoVZUScAAECOYveetNq1a2vJkiVycXHRwoULZRiGli5dqitXrmjevHmqW7duVtQJAACQo2ToPml+fn5avXq14uLiFB0dLVdXV+XLly+zawMAAMix0hXSLly4oKJFi8rR0VEXLlxINT46OlrR0dHW33nAOgAAwONJV0hr2rSp1qxZo2rVqqlJkyYPfLB6Ch6wDgAA8HjSFdImTpyo0qVLW39+VEgDAADA40lXSLv/oert27eXdO/xUO7u7pLuHe68cuWKKlasmAUlAgAA5Dx2X935559/KjAwUJ07d7YO+/nnn9WqVSsFBQUpLi4uUwsEAADIiewOadOnT9exY8f03nvvWYfVrVtXYWFh+umnnxQWFpapBQIAAOREdoe0HTt2aOjQoXrppZesw5ycnPTCCy9o4MCB2rZtW6YWCAAAkBPZHdJu3bqlAgUKpDmuaNGiun79+mMXBQAAkNPZHdK8vb21bt26NMdt3LhRXl5ej10UAABATmf3Ewf69OmjPn36qH379nrhhRdUuHBhXb9+XTt37tSRI0c0d+7crKgTAAAgR7E7pDVs2FBz5sxRWFiYQkNDZRiGLBaLKlWqpDlz5qhhw4ZZUScAAECOkqFndzZu3FiNGzdWfHy8bt68KTc3N+XNmzezawMAAMixMuXZnTdv3tTNmzetv/PsTgAAgMeTrpDWpEkTff755zy7EwAA4AlJV0ibNGmS9dmdkyZNytKCAAAAkM6QtmjRInl6eqpQoUKyWCxq2LChChUqlNW1AQAA5Fjpuk/a2bNnrTepHT58uCIjI7O0KAAAgJwuXXvSKlSooMGDB8vT01OGYWj06NFydXVNs63FYtGnn36aqUUCAADkNOnakzZ16lTVqVPH5oIBwzDS/JecnJxlxQIAAOQU6dqTtmPHDn3wwQcqXry4vL29NXr0aFWrVi2rawMAAMix0rUn7ZNPPtG5c+eyuhYAAAD8f+nak+bq6qolS5bojz/+kCTt2rVLv//++wPbv/zyy5lSHAAAQE6VrpAWGBioqVOn6ttvv5XFYtHHH3/8wLYWi4WQBgAA8JjSFdK6deumV155RdHR0WratKlmz56tSpUqZXVtAAAAOVa6H7Du6uoqV1dXTZo0SbVq1eJmtgAAAFko3SEtRbt27ZSQkKCVK1fqP//5j65cuaKJEycqPDxclStX5qpPAACATJCuqzvvd/36dXXo0EETJkzQ2bNndfjwYcXFxen7779X165ddejQoayoEwAAIEexO6RNnTpVt2/f1rZt27RhwwYZhiFJCg0NVdWqVRUaGprpRQIAAOQ0doe0nTt36v3331eZMmVsnkCQJ08e9ejRQ7/++mumFggAAJAT2R3S4uPjVbBgwTTHOTg4KDEx8XFrAgAAyPHsDmlVq1bVypUr0xy3ZcsWValS5bGLAgAAyOnsvrrz/fffV7du3dS2bVs1bNhQFotFW7duVVhYmHbv3q2FCxdmRZ0AAAA5it170mrXrq0lS5bIxcVFCxculGEYWrp0qa5cuaJ58+apbt26ds0vOTlZoaGhatCggXx9fdWrVy9FRkama9rNmzfLy8uL54oCAIB/HLv3pEmSn5+fVq9erbi4OEVHR8vV1VX58uXLUAFz5szRypUrNXnyZHl4eGjatGkKDAzUli1b5OTk9MDpzp8/r7Fjx2boNQEAAMwuQyFNkn744QeFh4crJiZG7u7uqlWrlho0aGDXPBISErR48WINHjxYjRo1kiSFhISoQYMG2r59u1q1apXmdMnJyQoODlblypW1d+/ejC4CAACAadkd0hISEvTOO+9o9+7dcnBwUKFChXTjxg3roc558+Y9dA/Y/SIiInT79m0FBARYh+XPn18+Pj7av3//A0PaJ598osTERPXr14+QBgAA/pHsDmlhYWE6ePCgpk6dqpYtW8rBwUF3797V1q1bNWbMGM2dO1fvv/9+uuZ16dIlSVKJEiVshhcrVsw67q8OHz6sxYsXa+3atYqKirK3/DQZhqE7d+5kyrxygtjYWJv/kfPQByDRDzLKYrHIxcUlu8vAI8TGxlpv2J/ZDMOwudfsg9gd0rZu3ap+/fqpTZs2/zeT3Ln18ssv69q1a1q1alW6Q1rKG/uve97y5Mmj6OjoVO3v3LmjwYMHa/DgwSpbtmymhbTExEQdO3YsU+aVk5w5cya7S0A2ow9Aoh/Yy8XFRT4+PtldBh7h9OnTWfoFJD1HHe0OadevX39g5/Lx8bErODk7O0u6dwg15Wfp3g1z0/qWMX78eJUrV06vv/66nVU/nKOjoypWrJip8/wni42N1ZkzZ1S2bFm+DeZQ9AFI9IOMSs8eFGS/cuXKZdmetJMnT6arnd0h7emnn9bBgwdtziNLsX///lSHLh8mpe3ly5f19NNPW4dfvnxZXl5eqdqvW7dOTk5OqlGjhiQpKSlJktSqVSv16dNHffr0sWtZUlgsFuXNmzdD0+ZkLi4urLccjj4AiX6Af6as/OKR3qBud0h7/fXXNXnyZDk7O6tly5YqUqSIrl69qq1bt2rBggXq169fuufl7e0tV1dX7du3zxrSYmJidPToUXXp0iVV++3bt9v8/vPPPys4OFjz58+Xp6envYsCAABgWnaHtDfeeENHjx7V9OnTNWPGDOtwwzDUrl07vf322+mel5OTk7p06aLp06fL3d1dTz31lKZNmyYPDw81a9ZMSUlJun79utzc3OTs7KwyZcrYTJ9ycUHJkiUf+DxRAACAvyO7Q1quXLk0YcIE9ejRQ+Hh4YqOjlaBAgXk7++vChUq2F1AUFCQ7t69q5EjRyouLk5+fn5atGiRHB0dde7cOTVt2lSTJk1S+/bt7Z43AADA35XdIS0uLk7Ozs6qUKGCNZQdO3YsQwFNkhwcHBQcHKzg4OBU40qVKqXjx48/cNo6deo8dDwAAMDfVbqf3Xn8+HF16NBBS5YssRkeExOjDh06qG3btjp9+nSmFwgAAJATpSuknTt3Tm+++aauXr2qcuXK2YxzdHTUkCFDdPPmTXXq1CnT7l0GAACQk6UrpM2fP18FCxbUhg0b1Lx5c5txLi4u6tatm9auXas8efJo3rx5WVIoAABATpKukPbf//5XgYGBcnd3f2CbokWLqkePHtqzZ0+mFQcAAJBTpSukXb58WWXLln1kO09Pzwc+cxMAAADpl66Q5u7ursuXLz+y3Y0bN1SgQIHHLgoAACCnS1dI8/Pz0/r16x/ZbuPGjTw0FgAAIBOkK6R17dpV+/bt0+TJkxUfH59qfEJCgqZOnaoffvhBnTt3zvQiAQAAcpp03cy2atWqGj58uCZOnKhNmzYpICBApUqVUlJSki5cuKB9+/bpxo0bev/999WgQYOsrhkAAOAfL91PHOjcubO8vb21aNEifffdd9Y9avny5VP9+vXVo0cPVa9ePcsKBQAAyEnseixUrVq1VKtWLUnS9evXlTt3buXPnz9LCgMAAMjJ7H52Z4qH3TMNAAAAjyfdz+4EAADAk0NIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECENAADAhAhpAAAAJkRIAwAAMKFsD2nJyckKDQ1VgwYN5Ovrq169eikyMvKB7X/77Te9/fbbqlOnjgICAhQUFKQLFy48wYoBAACyXraHtDlz5mjlypUaN26cVq9ereTkZAUGBiohISFV2xs3bqh79+5ydnbWZ599pgULFuj69esKDAxUfHx8NlQPAACQNbI1pCUkJGjx4sUKCgpSo0aN5O3trZCQEF26dEnbt29P1f7bb7/VnTt3NHXqVHl6eqpKlSqaNm2aTp06pZ9++ikblgAAACBr5M7OF4+IiNDt27cVEBBgHZY/f375+Pho//79atWqlU37gIAAzZkzR87OztZhuXLdy5kxMTEZrsMwDN25cyfD0+c0sbGxNv8j56EPQKIfZJTFYpGLi0t2l4FHiI2NlWEYWTJvwzBksVge2S5bQ9qlS5ckSSVKlLAZXqxYMeu4+5UqVUqlSpWyGTZ//nw5OzvLz88vw3UkJibq2LFjGZ4+pzpz5kx2l4BsRh+ARD+wl4uLi3x8fLK7DDzC6dOns/QLiJOT0yPbZGtIS1n4vxaaJ08eRUdHP3L6zz77TMuXL9fIkSPl7u6e4TocHR1VsWLFDE+f08TGxurMmTMqW7Ys3wZzKPoAJPpBRqVnDwqyX7ly5bJsT9rJkyfT1S5bQ1rKYcuEhASbQ5jx8fEPfcMbhqFZs2Zp7ty56tu3r7p27fpYdVgsFuXNm/ex5pETubi4sN5yOPoAJPoB/pmy8otHeoN6tl44kHKY8/LlyzbDL1++rOLFi6c5TWJiooKDg/XJJ59o+PDh6t+/f1aXCQAA8MRla0jz9vaWq6ur9u3bZx0WExOjo0ePPvAcsyFDhuirr77SjBkz1K1btydUKQAAwJOVrYc7nZyc1KVLF02fPl3u7u566qmnNG3aNHl4eKhZs2ZKSkrS9evX5ebmJmdnZ61fv17btm3TkCFD5O/vrytXrljnldIGAADgnyDbb2YbFBSkV155RSNHjtQbb7whBwcHLVq0SI6Ojrp48aLq16+vbdu2SZK2bt0qSZo6darq169v8y+lDQAAwD9Btu5JkyQHBwcFBwcrODg41bhSpUrp+PHj1t8XL178JEsDAADINtm+Jw0AAACpEdIAAABMiJAGAABgQoQ0AAAAEyKkAQAAmBAhDQAAwIQIaQAAACZESAMAADAhQhoAAIAJEdIAAABMiJAGAABgQoQ0AAAAEyKkAQAAmBAhDQAAwIQIaQAAACZESAMAADAhQhoAAIAJEdIAAABMiJAGAABgQoQ0AAAAEyKkAQAAmBAhDQAAwIQIaQAAACZESAMAADAhQhoAAIAJEdIAAABMiJAGAABgQoQ0AAAAEyKkAQAAmBAhDQAAwIQIaQAAACZESAMAADAhQhoAAIAJEdIAAABMiJAGAABgQoQ0AAAAEyKkAQAAmBAhDQAAwIQIaQAAACZESAMAADAhQhoAAIAJEdIAAABMiJAGAABgQoQ0AAAAEyKkAQAAmBAhDQAAwIQIaQAAACZESAMAADAhQhoAAIAJEdIAAABMiJAGAABgQoQ0AAAAEyKkAQAAmBAhDQAAwIQIaQAAACZESAMAADAhQhoAAIAJEdIAAABMiJAGAABgQoQ0AAAAEyKkAQAAmFC2h7Tk5GSFhoaqQYMG8vX1Va9evRQZGfnA9jdu3NCgQYPk5+cnf39/jRkzRrGxsU+wYgAAgKyX7SFtzpw5WrlypcaNG6fVq1crOTlZgYGBSkhISLN9UFCQzp49q6VLl2rWrFnatWuXRo8e/WSLBgAAyGLZGtISEhK0ePFiBQUFqVGjRvL29lZISIguXbqk7du3p2p/6NAhhYeHa8qUKapcubICAgI0duxYbdq0SVFRUdmwBAAAAFkjW0NaRESEbt++rYCAAOuw/Pnzy8fHR/v370/V/sCBAypatKgqVKhgHebv7y+LxaKDBw8+kZoBAACehNzZ+eKXLl2SJJUoUcJmeLFixazj7hcVFZWqrZOTkwoWLKiLFy9mqIbExEQZhqHDhw9naPqcyDAMWSwW/fbbb7JYLNldDrIBfQAS/eBxWCwWvRLgprtJ+bK7FPxFbodcOnLkiAzDyLLXSExMTNd7JltDWsoJ/05OTjbD8+TJo+jo6DTb/7VtSvv4+PgM1ZCykviAST+LxaJcubL9dEZkI/oAJPrB4yrgmvrvGcwjK3OBxWIxf0hzdnaWdO/ctJSfJSk+Pl4uLi5ptk/rgoL4+HjlzZs3QzXUqFEjQ9MBAABkpWz9CpRy6PLy5cs2wy9fvqzixYunau/h4ZGqbUJCgm7evKlixYplXaEAAABPWLaGNG9vb7m6umrfvn3WYTExMTp69Kj8/PxStffz89OlS5d09uxZ67Dw8HBJUq1atbK+YAAAgCckWw93Ojk5qUuXLpo+fbrc3d311FNPadq0afLw8FCzZs2UlJSk69evy83NTc7Ozqpevbpq1qypAQMGaPTo0bpz545GjRqll19+Oc09bwAAAH9XFiMrL19Ih6SkJH300Udav3694uLi5Ofnp1GjRqlUqVI6d+6cmjZtqkmTJql9+/aSpGvXrmnMmDH68ccflSdPHjVv3lzDhw9Xnjx5snMxAAAAMlW2hzQAAACkxrXTAAAAJkRIAwAAMCFCGgAAgAkR0gAAAEyIkAYAAGBChDQAAAATIqQBAACYECHNxJo0aSIvLy8tWbIkzfGjRo2Sl5eXwsLCnnBlD+bl5fXQf8OGDVPXrl01bNiw7C41WzRp0kRNmjTRrVu3Uo1LWTdmsm/fPnl5eencuXOSlOXb7q+vlx4JCQmaPXu2mjdvripVqsjPz089e/bU3r17bdr9tS9Wq1ZNrVu31vr16zN7MTLF5s2b9eqrr8rX11c1atRQhw4dtHr16uwuK9OFhYXZbBdvb2/VqVNHAwcOVFRUVKa+1m+//abvv/8+U+eZGbJjW//1vTx37lz5+/urRo0aOnLkiLy8vGwe2ZjZr/cw69evf+TfkpQ2mVmjGWXrY6HwaI6Ojvr666/VvXt3m+F3797V9u3bZbFYsqmytO3evdv687Zt2zRx4kSbYc7OzkpKSpKDg0N2lGcK58+f19SpUzV27NjsLsVuYWFhptt2I0eO1OHDhzVs2DBVrFhRf/75p1avXq0ePXpo0aJFCggIsLYdMWKEXnrpJUnSnTt3tHv3bo0cOVLu7u5q1KhRNi1BamvXrtWECRP0wQcfqFatWjIMQ3v27NH48eN19epV9evXL7tLzFQeHh5au3atpHtPoYmKitLkyZP17rvvWodnht69e6tdu3Zsa9m+l//880/NmjVLffr0UceOHVW0aFHt3r1bBQoUyJLXfpSXXnpJDRo0sP7+3nvvycPDQx988IF1WIECBdSgQYNsq/FJIaSZXEBAgH788UddunRJHh4e1uF79+5V3rx55eLiko3VpVa0aFHrz25ubqmGQSpdurTWrFmj5s2bq169etldjl0KFiyY3SXYuHXrljZv3qywsDCbP7xjxoxRRESEVqxYYRPS3NzcbPpjmTJltGPHDq1fv95Uf7hXrlypDh066JVXXrEOK1++vKKiorRs2bJ/XEhzcHCw2S4eHh4aMmSIXn/9dZ04cUKenp7ZWF3Wyq5tff97OSYmRoZhqG7dunrqqackZe/ntrOzs5ydna2/Ozo6ytnZOVVNOeFvC4c7Ta5atWoqWbKkvvrqK5vh27ZtU4sWLWz2pP3000/q3LmzqlWrpkaNGmnMmDE2h9UuXLigAQMGKCAgQJUrV9Zzzz2nadOmKTk5WdK9XcwvvPCC9f8qVaqoffv2OnjwYKYu0/27vVNea/Xq1WrUqJGqV6+uoKAgRUVFafDgwapRo4aee+45m2/ThmFowYIFatq0qapXr662bdtq8+bNmVpjVmrTpo0CAgL0wQcfpHnYU5Ju3rypMWPGqGHDhqpWrZpef/11m936YWFh6tKliwYMGKCaNWtq3LhxGVqX0dHRGjlypBo0aKDKlSsrICBAI0eOVGxsbJp13b/tUg7H//Xf8OHDJaVvOx04cEAdO3ZUtWrV1KZNG0VERNi9PnPlyqXdu3fr7t27NsNDQ0P1r3/965HT3//HwCxy5cqlQ4cOKTo62mb422+/rTVr1ki6d5h32rRpatCggWrUqKFXX33VZq+1JH3xxRdq3bq1qlWrJl9fX3Xq1ElHjhyxjj98+LA6deqkGjVqyM/PT++9954uXLhgHX/x4kUNHjxYzz77rHx9fdWzZ0+bbTRs2DANGzZMU6ZMUUBAgKpXr67evXtnymHKtL6APuoz7mHL06RJE50/f16zZ8821WkFmbGtM/LeT3kv79u3T02aNJEkvfXWW+ratavOnTtncyixa9eumj59ukaMGKHatWurZs2aGjRokM26//bbb9WxY0f5+vqqatWqat++vX788ccsW29p1ThlyhTr8tavX1+rVq3SwYMH1bZtW1WvXl2vv/66zpw5Y51HVFSUBgwYoNq1a6tOnTrq06ePzXgzIKT9DbRo0cImpCUkJOjbb79Vy5YtrcMiIiLUvXt3NWjQQJs3b9b06dP166+/qkePHkp5PGvfvn31559/asmSJfrqq6/Uo0cPLVy4UDt27LDO5+LFi1q9erWmTZumDRs2yMXFRcOGDVNWPuL1woUL+uqrrzR//nyFhobqu+++U+vWrVW5cmWtW7dOzz33nEaPHq0bN25IkkJCQrRq1Sr961//0pYtW/Tmm29q9OjRWrFiRZbVmJksFosmTJig6OhoTZkyJdX4pKQk9ejRQwcOHNC0adO0fv16eXp6qmfPnjp8+LC13f79+1WkSBFt2rTJ+kfH3nU5bNgwHT16VLNnz9bXX3+t4cOHa+PGjdY/Dg+zdu1a7d692/qvR48eypcvn7p16ybp0dspMjJSPXr0UKVKlbRhwwa9++67mjNnjl3r0tXVVZ06ddLq1avVoEEDDRo0SKtXr9Yff/yh4sWLq3jx4g+cNjk5Wbt379aePXvUoUMHu143qwUGBuro0aN67rnn9Pbbb2v+/Pk6fPiw3NzcVK5cOUnS8OHDtWfPHk2fPl0bNmxQixYt1KdPH+s5V998843Gjh2rwMBAffnll1q6dKni4+M1cuRISff6We/eveXn56fNmzdr6dKlunDhgkaMGCHp3l7KN954Q1FRUZo7d65Wr14tZ2dndenSRefPn7fWunXrVt28eVPLly/XggUL9Ouvv2rmzJmPtfw3btzQnDlz5Ovra92L9qjPuEctz9q1a+Xh4aEePXqY6jzezNjWkv3v/RQ1atTQF198Ienel78HrZulS5eqSJEiWrt2raZNm6bvvvtOS5culST98ssveu+999SyZUtt2bJFn3/+udzd3TVkyBAlJCRk/kp7gM8++0yVKlXS5s2b1bRpU40fP16jR4/WiBEjtHz5cl2+fFkzZsyQdO90h5TPzeXLl+uzzz5ToUKF9Oqrr2b6uZCPxYBpNW7c2AgNDTWOHDlieHl5GZcuXTIMwzB27NhhvPjiizZtBg8ebPTt29dm+j/++MPw9PQ09u7da8TGxhqLFi0yLly4YNOmXr16xuzZsw3DMIx169YZnp6extGjR63jv/nmG8PT09OIioqyu/6U+f1Vly5djKFDh9q0OXnypHV8+/btjddee836+8mTJw1PT0/jp59+Mm7fvm1UrVrV+Oabb2zmOWvWLKNx48Z21/ikpWwvwzCM1atXG56ensaPP/5oGIZhDB061OjSpYvx/fffG56ensbx48et0yUnJxsvv/yyERQUZBiGYYSGhhqenp5GTEyMtY2969IwDOOzzz4zIiIibGrs2LGjMXz4cMMwDGPv3r2Gp6enERkZaRiG7ba73/bt2w0fHx9j586dhmEY6dpO06dPNxo3bmzcvXvXOn7JkiU2r5deW7ZsMbp162ZUqVLF8PT0NDw9PY0ePXpY3zOGYRienp5GlSpVDF9fX8PX19eoVKmS4enpabzzzjtGfHy8Xa/3JBw6dMgYMGCA4e/vb12mZs2aGQcOHDDOnDmT6r1qGIYxZMgQo0uXLoZhGEZ4eLixadMmm/ErV640vL29DcMwjJs3bxpeXl7G8uXLjaSkJMMw7n1mHDp0yDAMw1ixYoVRrVo149q1a9bpY2NjjWeffdaYMmWKYRj3+mzdunWNhIQEa5sJEyYYzZo1S/dyhoaGGl5eXtbtUq1aNcPT09OoWrWqsW/fPmu7R33GPWp5DMP2/Wcmj7utM/Lev/+9HBkZaV2Paf3epUsXo23btjav/8477xg9evQwDMMwjh49aqxYscJm/K5duwxPT0/r35wHfXakR1rTplXjK6+8Yh1/4sQJw9PT01izZo112NSpU6198/PPPzfq1KljJCYmWscnJSWZro9wTtrfQJUqVVS6dGl9/fXXevPNN7Vt2zabvWiSdPToUZ09e1Y1atRINf2pU6dUp04ddenSRV999ZUOHz6ss2fP6vjx47p69ar1cGeKChUqWH9OOa8sMTExC5bs/zz99NPWn/PmzasSJUpYf8+TJ4+ke3sQT548qfj4eA0aNEi5cv3fjuC7d+8qISFBcXFxpjx8lZbXXntNX3/9tUaOHKmtW7dah584cUJubm425+FYLBbVrl3b5hBH4cKFrdvnfuldl5LUqVMn7dixQxs2bNCZM2d08uRJnTt3TuXLl0/3chw5ckTBwcEKDg62nteVnu104sQJ+fj42FyIULNmzXS/7v1atWqlVq1aKS4uTocOHdI333yjzz//XO+9954+//xza7ugoCA1a9bMug5+++03TZs2Te+++64WLFiQodfOKr6+vvL19VVycrIiIiK0a9cuLV++XL169dL48eMl3dt+90tMTFT+/PklSX5+fjp16pQ+/vhj/f7779b3fMr7vUCBAgoMDNS4ceMUGhqqunXrqmHDhmrRooWke/2wbNmycnd3t87f2dlZ1apV04kTJ6zDnn76aTk6Olp/d3Nzs/vzolixYvrss88k3dvDefPmTW3cuFE9evTQ0qVLVbt27XR9xj1seczscbd1Cnve+/b662eCm5ubYmJiJEmVKlVSgQIFNH/+fGtfSzksnpSUlKHXy4j7lz/lcHnp0qWtw5ydna198+jRo4qOjpafn5/NPOLj43Xq1KknUG36ENL+JlIOeb722mv67rvvrLunUyQnJ6t169bq06dPqmnd3d11584ddenSRXFxcWrevLnatWunatWqqXPnzqnaOzk5pRpmZOHhTkk2H/KSbP6wp1XHzJkz0wwSadVuZuPHj1fr1q01adIk67AHrWvDMJQ79/+9ZR8URtO7LpOTk9W7d2/99ttvatWqlV566SVVrlw5Xedxpbh48aL69u2rNm3aWA9z3r8MD9tOFosl1ReE+5cvPfbt26cdO3ZYz4NzdnZWQECAAgICVKFCBY0dO1bXr1+3Bo3ChQurTJky1umfeeYZ3b17V8HBwfrtt9/0zDPP2PX6WeHSpUuaN2+eevfuLQ8PD+XKlUs+Pj7y8fHR888/r1atWlnbrlixQvny5bOZPmV7b9myRcOGDVPr1q1Vs2ZN60n4919VPHjwYHXq1Em7du3Sf//7X40bN04LFy7Uxo0bH9gPk5OTbbZTZrzncufObbNdpHuH4fbu3atly5apdu3aj/yMe9TymPGzIbO2dYr0vvcz4mHrLzw8XD179lSjRo1Uq1YttW7dWrGxsXr33Xcz7fXT46/LLz38869cuXKaO3duqnF58+bN9NoyinPS/iZatGihn376SevWrVPp0qVt9nZJ9/7YnDx5UmXKlLH+u3v3riZNmqSLFy9q9+7d+vXXX7Vs2TIFBQXppZdekqurq65du5blASwzlS9fXrlz59aFCxdslnXXrl1atGhRpn4oPQklS5bUsGHDtHbtWh04cEDSvft5/fnnnzZ7KwzD0MGDB1WxYsVMe+1jx47phx9+0KxZszR48GC1adNGTz/9tP7444909Ylbt26pd+/eqlChgkaNGmUzLj3bydvbW7/88ovNN/tffvnFrmW4deuWli5dqp9//jnVODc3Nzk7O8vV1fWh80hZ1r8Gxuzi5OSkL774Is2LYVL2nBQpUkSSdOXKFZv1u379eut93+bPn69XXnlFkydPVufOneXn56fIyEhJ95b5999/14cffqjChQvrjTfeUGhoqBYuXKhTp04pIiJCXl5eOnPmjK5du2Z9/fj4eP3yyy+Z2g8fJjk52bp9HvUZ96jlMaPM2tbZbfHixapTp47CwsLUrVs3Pfvss7p48aKkrP+Cn1Genp66cOGC3NzcrOu0ZMmSmjFjhvbv35/d5Vn9vf6i5WCVKlVSmTJlNGPGjFSHOiWpR48eOnr0qMaMGaNTp07p0KFDGjRokM6cOaOyZctab9+xefNmnT9/XgcOHNA777yjxMTEJ3pi5+Nyc3PT66+/rlmzZmnTpk2KjIy0nsharFix7C4vQzp27Kj69etb/4DWr19flSpV0qBBgxQeHq5Tp05p7NixOnHihN56661Me90iRYood+7c+vLLLxUZGakjR46of//+unLlyiP7RFJSkgYMGKD4+HiNHz9eN2/e1JUrV3TlyhVdv349XdvpjTfeUGxsrEaMGKFTp05p586ddp/Q3bhxY/n7+6tv375atWqVTp8+rZMnT2rDhg2aOnWqevXqZbMH4M8//7TWGRUVpd27d2vWrFny8fExzW0e3N3dFRgYqFmzZikkJETHjh1TZGSkdu7cqX79+qlOnTry9/dX48aN9eGHH2rHjh2KjIzUggULNG/ePOshnxIlSuinn37Sr7/+qj/++ENLly7V8uXLJd075FWoUCH9+9//1qhRo3Tq1CmdPn1aGzZsUIECBVS+fHm1bt1aBQsWVP/+/XX48GFFRERo8ODBunPnjl577bVMXeakpCTrdrly5YpOnz6tyZMn648//lDbtm0lPfoz7lHLI0n58uXTmTNndPXq1UytP6Mya1tntxIlSuj48eM6cOCAzp07p3Xr1mnWrFmSMn54Nau1adNGBQoUUFBQkH7++WedOnVKw4YN0w8//CAvL6/sLs+Kw51/Iy1atNDcuXOtN+O8n6+vrxYuXKhZs2apXbt2yps3rwICAjR06FA5OTmpWrVqGj58uJYuXaqZM2eqePHieumll1SiRAmbS/L/DoYPH65ChQpp1qxZunz5skqUKKGgoCAFBgZmd2kZlnLYU7p3z6jFixdrypQp6tevnxISElSlShUtXbpUvr6+mfaaxYsX1+TJkxUWFqYVK1aoaNGiatSokbp162ZzxW9aLl68qB9++EGS9Pzzz9uMe+qpp6yHIB+2nYoXL65PP/1UEydOVLt27VSiRAn17dtXY8aMSfcy5MqVS/Pnz9eiRYu0cuVKTZ06VcnJyapQoYLef/99m3tPSdLEiRM1ceJESffWc+HChVWvXj0NHDjQVDeG7t+/v8qWLavPP/9cK1asUFxcnEqWLKkWLVqod+/eku5dPRsSEqJRo0YpOjpaTz/9tCZMmKB27dpJkv71r39p1KhR6tKli5ycnOTt7a2pU6dqwIABOnLkiGrXrq0FCxZoxowZevXVV5WUlCRfX18tWbLEuvdx+fLlmjx5svVQdq1atbRq1Sqb83wyw6VLl1S/fn3r7y4uLqpQoYKmTJli7V+P+oxzcnJ65PKk3Kbht99+M81tezJjW2e3oKAgXb161XooumLFipo4caKCg4N15MiRVEd+zMDNzU3Lly/X1KlT1bNnTyUlJaly5cpavHixqeq1GGbdFwkAAJCDcbgTAADAhDjciXSJiopS8+bNH9qmatWqWrZs2ROqCP90tWvXfujl+4ULF9a33377BCuCPbZt22bzrMW0dO/eXUFBQU+oIpjBggULHnnT6hEjRqhjx45PqCJz43An0iUpKUnnzp17aJs8efLYPF8UeByPusrUwcFBpUqVeoIVwR63b99+5An6+fPnV6FChZ5QRTCD6Oho3bx586FtChcu/MirsnMKQhoAAIAJcU4aAACACRHSAAAATIiQBgAAYEKENAAAABMipAEAAJgQIQ0AAMCECGkAAAAm9P8AzqA4DF9kIRMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "# --- 1. Predicted finalists ---\n",
    "predicted_finalists = ranked.head(8)[\"Surname\"].tolist()\n",
    "\n",
    "# --- 2. Test set: predicted finalists ---\n",
    "final_input = features_table[features_table[\"Surname\"].isin(predicted_finalists)].copy()\n",
    "final_input = final_input.dropna(subset=[\"Semifinal_Time\"])\n",
    "\n",
    "X_test = final_input[[\"Season_Best\", \"Normalized_SB\", \"Mean_Time\", \"Semifinal_Time\"]]\n",
    "\n",
    "# --- 3. Training set: all the non finalist athletes ---\n",
    "non_finalists = features_table[~features_table[\"Surname\"].isin(predicted_finalists)].copy()\n",
    "non_finalists = non_finalists.dropna(subset=[\"Semifinal_Time\"])  # For training\n",
    "\n",
    "X_train = non_finalists[[\"Season_Best\", \"Normalized_SB\", \"Mean_Time\", \"Semifinal_Time\"]]\n",
    "y_train = non_finalists[\"Semifinal_Time\"]  # Semifinal used as proxy\n",
    "\n",
    "# --- 4. Linear Regression ---\n",
    "lr_model = LinearRegression()\n",
    "lr_model.fit(X_train, y_train)\n",
    "final_input[\"LR_Pred\"] = lr_model.predict(X_test).round(3)\n",
    "\n",
    "# --- Print results ---\n",
    "print(\"\\nPredicted Final Times — Linear Regression\")\n",
    "print(\"--------------------------------------------\")\n",
    "for _, row in final_input.sort_values(\"LR_Pred\").iterrows():\n",
    "    print(f\"{row['Surname']:<15} {row['LR_Pred']:.2f} s\")\n",
    "    \n",
    "# --- 5. Function to denormalize the wind to +1.0m/s ---\n",
    "def denormalize_time(normal_time, wind=1.0):\n",
    "    if wind == 1.0:\n",
    "        return ((normal_time + 0.0491) / 1.009459)\n",
    "    else:\n",
    "        raise NotImplementedError(\"Only wind=1.0 is implemented directly\")\n",
    "\n",
    "final_input[\"LR_Pred_Wind+1.0\"] = final_input[\"LR_Pred\"].apply(denormalize_time).round(3)\n",
    "\n",
    "# --- Print updated results ---\n",
    "print(\"\\nPredicted Final Times — Linear Regression (with Wind +1.0)\")\n",
    "print(\"-------------------------------------------------------------\")\n",
    "for _, row in final_input.sort_values(\"LR_Pred_Wind+1.0\").iterrows():\n",
    "    print(f\"{row['Surname']:<15} {row['LR_Pred_Wind+1.0']:.2f} s\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Predicting the final result using the actual qualified athletes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Predicted Final Times — Linear Regression (Real Finalists)\n",
      "-----------------------------------------------------------\n",
      "Thompson        9.80 s\n",
      "Seville         9.81 s\n",
      "Lyles           9.83 s\n",
      "Kerley          9.84 s\n",
      "Simbine         9.87 s\n",
      "Tebogo          9.91 s\n",
      "Jacobs          9.92 s\n",
      "Bednarek        9.93 s\n",
      "\n",
      "Predicted Final Times — Linear Regression (with Wind +1.0)\n",
      "-------------------------------------------------------------\n",
      "Thompson        9.76 s\n",
      "Seville         9.77 s\n",
      "Lyles           9.79 s\n",
      "Kerley          9.80 s\n",
      "Simbine         9.83 s\n",
      "Tebogo          9.87 s\n",
      "Jacobs          9.88 s\n",
      "Bednarek        9.89 s\n"
     ]
    }
   ],
   "source": [
    "# --- Real finalists ---\n",
    "real_finalists = dataset[dataset[\"Olympics\"] == \"Final\"][\"Surname\"].unique().tolist()\n",
    "\n",
    "# --- 1. Test set: real finalists ---\n",
    "final_input_real = features_table[features_table[\"Surname\"].isin(real_finalists)].copy()\n",
    "final_input_real = final_input_real.dropna(subset=[\"Semifinal_Time\"])\n",
    "\n",
    "X_test_real = final_input_real[[\"Season_Best\", \"Normalized_SB\", \"Mean_Time\", \"Semifinal_Time\"]]\n",
    "\n",
    "# --- 2. Training set: all the other athletes ---\n",
    "non_finalists = features_table[~features_table[\"Surname\"].isin(real_finalists)].copy()\n",
    "non_finalists = non_finalists.dropna(subset=[\"Semifinal_Time\"])\n",
    "\n",
    "X_train = non_finalists[[\"Season_Best\", \"Normalized_SB\", \"Mean_Time\", \"Semifinal_Time\"]]\n",
    "y_train = non_finalists[\"Semifinal_Time\"]\n",
    "\n",
    "# --- 3. Linear Regression ---\n",
    "lr_model_real = LinearRegression()\n",
    "lr_model_real.fit(X_train, y_train)\n",
    "final_input_real[\"LR_Pred\"] = lr_model_real.predict(X_test_real).round(3)\n",
    "\n",
    "# --- Print results ---\n",
    "print(\"\\nPredicted Final Times — Linear Regression (Real Finalists)\")\n",
    "print(\"-----------------------------------------------------------\")\n",
    "for _, row in final_input_real.sort_values(\"LR_Pred\").iterrows():\n",
    "    print(f\"{row['Surname']:<15} {row['LR_Pred']:.2f} s\")\n",
    "    \n",
    "# --- 4. Function to denormalize the wind to +1.0m/s ---\n",
    "def denormalize_time(normal_time, wind=1.0):\n",
    "    if wind == 1.0:\n",
    "        return ((normal_time + 0.0491) / 1.009459)\n",
    "    else:\n",
    "        raise NotImplementedError(\"Only wind=1.0 is implemented directly\")\n",
    "\n",
    "final_input_real[\"LR_Pred_Wind+1.0\"] = final_input_real[\"LR_Pred\"].apply(denormalize_time).round(3)\n",
    "\n",
    "# --- Print results ---\n",
    "print(\"\\nPredicted Final Times — Linear Regression (with Wind +1.0)\")\n",
    "print(\"-------------------------------------------------------------\")\n",
    "for _, row in final_input_real.sort_values(\"LR_Pred_Wind+1.0\").iterrows():\n",
    "    print(f\"{row['Surname']:<15} {row['LR_Pred_Wind+1.0']:.2f} s\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Linear Regression builds a single formula that connects your input features (like Season Best, Normalized SB, Mean Time, and Semifinal Time) to the result. It assumes that as these values increase or decrease, the final time also changes in a smooth and predictable way.\n",
    "\n",
    "In this case, these features are all numerical and have a clear relationship to performance, so Linear Regression can find a good trend. That’s why the model gives precise and varied predictions for each finalist. It’s especially good when your dataset is small and clean, like ours."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Predicted Final Times — Random Forest\n",
      "-----------------------------------------\n",
      "Tebogo          9.98 s\n",
      "Thompson        9.98 s\n",
      "Lyles           9.98 s\n",
      "Seville         9.98 s\n",
      "Simbine         9.98 s\n",
      "Bednarek        9.98 s\n",
      "Kerley          9.98 s\n",
      "Omanyala        10.08 s\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "# --- Random Forest model ---\n",
    "rf_model = RandomForestRegressor(n_estimators=100, random_state=42)\n",
    "rf_model.fit(X_train, y_train)\n",
    "final_input[\"RF_Pred\"] = rf_model.predict(X_test).round(3)\n",
    "\n",
    "# --- Print results ---\n",
    "print(\"\\nPredicted Final Times — Random Forest\")\n",
    "print(\"-----------------------------------------\")\n",
    "for _, row in final_input.sort_values(\"RF_Pred\").iterrows():\n",
    "    print(f\"{row['Surname']:<15} {row['RF_Pred']:.2f} s\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this case it is using the denormalized times of before, but the result is similar with the normalized output."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Random Forest works differently: it splits the data into groups using decision trees and predicts by averaging results inside each group. This works well when we have lots of data and complex patterns.\n",
    "\n",
    "But in this case, there are two problems:\n",
    "\n",
    "- The training set is small, only about 19 athletes, so the trees don’t have much to learn from.\n",
    "- Many athletes have very similar features, so the trees often group them together.\n",
    "\n",
    "That’s why several finalists end up with the same predicted time, the model treats them as if they’re nearly identical and gives them the same average value."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "🥇 Predicted Final Ranking (Pairwise Logistic Regression)\n",
      "---------------------------------------------------------\n",
      "1. Thompson        (7 wins)\n",
      "2. Seville         (6 wins)\n",
      "3. Lyles           (5 wins)\n",
      "4. Kerley          (4 wins)\n",
      "5. Simbine         (3 wins)\n",
      "6. Bednarek        (2 wins)\n",
      "7. Tebogo          (1 wins)\n",
      "8. Omanyala        (0 wins)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from itertools import combinations\n",
    "import pandas as pd\n",
    "\n",
    "# Predicted finalists\n",
    "finalists = ranked.head(8)[\"Surname\"].tolist()\n",
    "\n",
    "# Splitting the data\n",
    "non_finalists_df = features_table[~features_table[\"Surname\"].isin(finalists)].dropna(subset=[\"Semifinal_Time\"])\n",
    "finalists_df = features_table[features_table[\"Surname\"].isin(finalists)].dropna(subset=[\"Semifinal_Time\"])\n",
    "\n",
    "train_rows = []\n",
    "\n",
    "for a, b in combinations(non_finalists_df.itertuples(), 2):\n",
    "    # a - b\n",
    "    row = {\n",
    "        'delta_SB': a.Season_Best - b.Season_Best,\n",
    "        'delta_NormSB': a.Normalized_SB - b.Normalized_SB,\n",
    "        'delta_Mean': a.Mean_Time - b.Mean_Time,\n",
    "        'delta_Semi': a.Semifinal_Time - b.Semifinal_Time,\n",
    "        'label': 1 if a.Semifinal_Time < b.Semifinal_Time else 0\n",
    "    }\n",
    "    train_rows.append(row)\n",
    "\n",
    "    # b - a\n",
    "    row_rev = {\n",
    "        'delta_SB': -row['delta_SB'],\n",
    "        'delta_NormSB': -row['delta_NormSB'],\n",
    "        'delta_Mean': -row['delta_Mean'],\n",
    "        'delta_Semi': -row['delta_Semi'],\n",
    "        'label': 1 if b.Semifinal_Time < a.Semifinal_Time else 0\n",
    "    }\n",
    "    train_rows.append(row_rev)\n",
    "\n",
    "# Dataframe for training\n",
    "train_df = pd.DataFrame(train_rows)\n",
    "X_train = train_df[[\"delta_SB\", \"delta_NormSB\", \"delta_Mean\", \"delta_Semi\"]]\n",
    "y_train = train_df[\"label\"]\n",
    "\n",
    "clf = LogisticRegression()\n",
    "clf.fit(X_train, y_train)\n",
    "\n",
    "# Dictionary to count \"wins\"\n",
    "win_counts = {name: 0 for name in finalists}\n",
    "\n",
    "# All combinations of finalists in comparison\n",
    "for a, b in combinations(finalists_df.itertuples(), 2):\n",
    "    delta_features = [[\n",
    "        a.Season_Best - b.Season_Best,\n",
    "        a.Normalized_SB - b.Normalized_SB,\n",
    "        a.Mean_Time - b.Mean_Time,\n",
    "        a.Semifinal_Time - b.Semifinal_Time\n",
    "    ]]\n",
    "\n",
    "    prob = clf.predict_proba(delta_features)[0][1]  # Probability that a wins agains b\n",
    "\n",
    "    if prob > 0.5:\n",
    "        win_counts[a.Surname] += 1\n",
    "    else:\n",
    "        win_counts[b.Surname] += 1\n",
    "\n",
    "# Sort on decreasing wins\n",
    "final_ranking = sorted(win_counts.items(), key=lambda x: x[1], reverse=True)\n",
    "\n",
    "print(\"\\n🥇 Predicted Final Ranking (Pairwise Logistic Regression)\")\n",
    "print(\"---------------------------------------------------------\")\n",
    "for i, (name, wins) in enumerate(final_ranking, 1):\n",
    "    print(f\"{i}. {name:<15} ({wins} wins)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Introduction to Sport Analytics - Digicamp 2025\n",
    "\n",
    "Lorenzo Galli - Università di Pisa & Università della Svizzera Italiana (USI)\n",
    "\n",
    "Amedeo Zappulla - Università della Svizzera Italiana (USI)"
   ]
  }
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