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GitHub / TongKim / Elo-Enhanced-LSTM-Model-for-Accurate-Prediction-of-Football-Match-Results
This project features a football match prediction framework that integrates LSTM (Long Short-Term Memory) models with the Elo rating system. It aims to predict the number of goals scored in a match using historical match data, with the objective of outperforming bookmakers in the betting market.
Stars: 2
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 5.04 MB
Dependencies:
0
Created: 7 months ago
Updated: 3 months ago
Last pushed: 3 months ago
Last synced: 3 months ago
Topics: elo, elo-rating, football-analytics, football-data, lstm
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