Shot analysis using StatsBomb and mplsoccer.
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Jun 24, 2026 - Jupyter Notebook
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statsbombpy
Here are 5 public repositories matching this topic...
Production-grade football analytics platform — xT/xP event modeling, XGBoost (AUC 0.8948), dbt, Airflow at 9.2M event scale
python docker postgresql sports xgboost dbt sports-data apache-airflow sports-analytics mlops football-analytics sports-analysis statsbomb dbt-cloud mlops-project apache-airflow-tutorial sports-data-analysis statsbombpy
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Jun 29, 2026 - Python
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.
python deep-learning lstm gru poisson time-series-prediction la-liga football-analytics win-probability statsbombpy
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Apr 25, 2026 - Jupyter Notebook
StatsBomb açık verisiyle eğitilmiş canlı xG (Expected Goals) tahmin motoru — XGBoost + Streamlit + Gemini Flash, GCP'de serve edilen uçtan uca MLOps projesi. - Live Expected Goals (xG) prediction engine on StatsBomb open data — XGBoost + Streamlit + Gemini Flash, an end-to-end MLOps project served on GCP.
machine-learning gcp xgboost xg mlops football-analytics streamlit statsbomb expected-goals statsbombpy
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Jun 29, 2026 - Python
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.
python machine-learning random-forest scikit-learn jupyter-notebook eda data-visualization seaborn xgboost logistic-regression matplotlib model-calibration feature-importance sports-analytics soccer-analytics football-analytics xg-model expected-goals statsbombpy
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Apr 18, 2026 - Jupyter Notebook
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