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.

A machine learning project that builds an Expected Goals (xG) model using StatsBomb event data. Includes feature engineering (distance, angle), logistic regression modeling, and visualizations such as xG heatmaps and player/team comparisons.