xg-model

What problem does it solve?

Automate hockey shot analysis by predicting goal probabilities using an xG model trained on historical shot data, enabling faster insights and better decision-making for coaches and analysts.

Core Features & Use Cases

• Feature-rich inputs including distance, angle, shot_type, coordinates, and contextual features for robust xG scoring.
• Use Case: generate per-shot xG predictions in ETL pipelines and compare against actual goals in dashboards for performance monitoring.
• Use Case: iterate on feature engineering and model versions to drive improvements across seasons.

Quick Start

Train and evaluate the xG model using your hockey shot dataset to generate production-ready predictions.