Possession-level live win probability model for football using LSTM and GRU on StatsBomb La Liga data, with Poisson goal conversion and proper probabilistic evaluation.
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Updated
Apr 25, 2026 - Jupyter Notebook
Possession-level live win probability model for football using LSTM and GRU on StatsBomb La Liga data, with Poisson goal conversion and proper probabilistic evaluation.
Live cricket scores and win probability dashboard. Built using Django and CricketData API, featuring dynamic polling, key rotation, and a custom WASP algorithm.
NFL in-game win probability model on 225k plays from six seasons of nflfastR. XGBoost, log loss 0.485 / AUC 0.841 on the held-out 2023 season. Python + DuckDB.
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Elo, logistic win probability, Kelly helpers for NBA-style models (PyPI: nba-edge). Pairs with nba-clv-dashboard.
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