22.1 Machine Learning in Sports - 22.1.1 When to Use ML - 22.1.2 ML vs. Traditional Statistics - 22.1.3 Interpretability Considerations - 22.2 Tree-Based Methods - 22.2.1 Decision Trees - 22.2.2 Random Forests - 22.2.3 Gradient Boosting (XGBoost, LightGBM) - 22.2.4 Feature Importance - 22.3 Regulari