Models for estimating football (soccer) team-strength
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Oct 19, 2021 - Python
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dixon-coles
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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.
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May 29, 2024 - Jupyter Notebook
A stats model (pkg) for the NHL
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Dec 11, 2024 - R
Statistical modelling for predicting football outcomes: an R implementation of the Dixon-Coles model and applications to the 2021-2022 Serie A championship
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Sep 26, 2023 - R
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.
numpy pandas seaborn matplotlib pymc3 poisson-distribution theano-models bayesian-hierarchical-models dixon-coles
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Mar 20, 2025 - Jupyter Notebook
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