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@neftlon
Created April 29, 2024 17:03
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Elo ranking scheme
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{
"cells": [
{
"cell_type": "code",
"execution_count": 5,
"id": "4c16a708-8626-41eb-9b59-737ffe419cfe",
"metadata": {},
"outputs": [],
"source": [
"import typing, math"
]
},
{
"cell_type": "code",
"execution_count": 76,
"id": "40f4be54-6cd2-4d7b-94df-cc1cd834ee3b",
"metadata": {},
"outputs": [],
"source": [
"class Elo(typing.NamedTuple):\n",
" ratings: dict[typing.Any, float]\n",
" K: float = 30.\n",
"\n",
" def log(self, winner, loser):\n",
" \"log a game returning a new Elo object\"\n",
" # compute win/lose probabilities\n",
" p1 = (1 / (1 + 10 ** ((self.ratings[winner] - self.ratings[loser]) / 400)))\n",
" p2 = (1 / (1 + 10 ** ((self.ratings[loser] - self.ratings[winner]) / 400)))\n",
" \n",
" # update probabilities\n",
" update = {winner: self.ratings[winner] + self.K * (1 - p2),\n",
" loser: self.ratings[loser] + self.K * (0 - p1)}\n",
"\n",
" # construct result\n",
" res = dict(self.ratings) # copy existing dict\n",
" res.update(update)\n",
" return Elo(res, K=self.K)"
]
},
{
"cell_type": "code",
"execution_count": 77,
"id": "1fb02a30-e3d9-4faf-84f7-ebe4431b1738",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Elo(ratings={'A': 1200, 'B': 1000, 'C': 800}, K=30.0)"
]
},
"execution_count": 77,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"env = Elo({\"A\": 1200, \"B\": 1000, \"C\": 800})\n",
"env"
]
},
{
"cell_type": "code",
"execution_count": 78,
"id": "86ca1bea-a211-4538-84f7-8f5409de4989",
"metadata": {},
"outputs": [],
"source": [
"winner, loser = \"B\", \"A\""
]
},
{
"cell_type": "code",
"execution_count": 79,
"id": "60aad676-3bff-4c7b-862c-1dbedfd4339a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'B': 1022.7924077994387, 'A': 1177.2075922005613}"
]
},
"execution_count": 79,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# compute win/lose probabilities\n",
"p1 = (1 / (1 + 10 ** ((env.ratings[winner] - env.ratings[loser]) / 400)))\n",
"p2 = (1 / (1 + 10 ** ((env.ratings[loser] - env.ratings[winner]) / 400)))\n",
"\n",
"# update probabilities\n",
"{winner: env.ratings[winner] + env.K * (1 - p2),\n",
" loser: env.ratings[loser] + env.K * (0 - p1)}"
]
},
{
"cell_type": "code",
"execution_count": 81,
"id": "06eb7747-2010-4355-8ad5-0e035b9ee40e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Elo(ratings={'A': 1110.060653079418, 'B': 1063.7227544923412, 'C': 826.2165924282407}, K=30.0)"
]
},
"execution_count": 81,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"env.log(winner, loser).log(winner, loser).log(winner, loser).log(\"C\", \"A\")"
]
}
],
"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": "3.12.0"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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