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betting-models

Here are 29 public repositories matching this topic...

⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀

  • Updated Aug 21, 2026
  • Python

An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.

  • Updated Aug 10, 2023
  • Python

2026 World Cup predictor: Dixon-Coles + XGBoost + Neural Net + Hierarchical Bayesian (Stan/brms), stacked via meta-learner. R API (plumber) + single-file HTML dashboard with live market odds. Walk-forward, temporal split, isotonic calibration, stacking beats simple average.

  • Updated Jul 15, 2026
  • R

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