Models for estimating football (soccer) team-strength
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Updated
Oct 19, 2021 - Python
Models for estimating football (soccer) team-strength
My aim to develop a model that predicts the scores of football matches. My code (python) implements various machine learning algorithms to analyze team and player statistics, as well as historical match data to make informed predictions.
A stats model (pkg) for the NHL
Statistical modelling for predicting football outcomes: an R implementation of the Dixon-Coles model and applications to the 2021-2022 Serie A championship
3-leg xG + Elo + XGBoost ensemble for top-5 European football leagues. Probabilities SHA-256 committed before kickoff. Live at predictor.nullshift.sh
This project focuses on modelling the attacking and defensive strength of teams in the Portuguese First League of Football, along with the impact of home advantage.
Premier League title-race predictor + FPL recommender. Dixon-Coles + Monte Carlo + ILP. TUI / web / CLI.
Multi-model football prediction engine for EPL & La Liga — LightGBM + PyTorch xG + Dixon-Coles ensemble
Kicktipp Bundesliga Predictor – Dixon-Coles + Pinnacle-Quoten
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