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def calculate_elo(old_rating, opponent_rating, score, k_factor=32): | |
""" | |
Calculate the new ELO rating for a player. | |
:param old_rating: The current ELO rating of the player. | |
:param opponent_rating: The ELO rating of the opponent. | |
:param score: The score of the game (1 for win, 0.5 for draw, 0 for loss). | |
:param k_factor: The K-factor used in ELO rating (default is 32). | |
:return: The new ELO rating. | |
""" | |
expected_score = 1 / (1 + 10 ** ((opponent_rating - old_rating) / 400)) | |
new_rating = old_rating + k_factor * (score - expected_score) | |
return new_rating | |
def update_elo_ratings(ratings, winner, loser, k_factor=32): | |
""" | |
Update ELO ratings for two players. | |
:param ratings: A dictionary of current ELO ratings. | |
:param winner: The model name of the winning player. | |
:param loser: The model name of the losing player. | |
:param k_factor: The K-factor used in ELO rating (default is 32). | |
:return: Updated ELO ratings. | |
""" | |
winner_old_rating = ratings[winner] | |
loser_old_rating = ratings[loser] | |
# Winner's new rating | |
winner_new_rating = calculate_elo(winner_old_rating, loser_old_rating, 1, k_factor) | |
# Loser's new rating | |
loser_new_rating = calculate_elo(loser_old_rating, winner_old_rating, 0, k_factor) | |
# Update the ratings | |
ratings[winner] = winner_new_rating | |
ratings[loser] = loser_new_rating | |
return ratings | |