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xg-model-building

Builds expected goals (xG) models from NHL play-by-play shot event data using XGBoost or LightGBM. Use when user asks about expected goals, xG model, shot quality, building an xG model, xGF%, xGA, rebound detection, rush shot detection, or shot probability. Do not use for applying pre-built xG values to team or game analysis -- see team-analysis or hockey-analytics. Do not use for general game pre

2estrelas
Atualizado há 5 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add PuckAPI/claude-sports-analytics

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xG Model Building

Important: PuckAPI does NOT have play-by-play data. The SDH database contains game-level data (scores, teams, odds, goalie starts) but no event-level shot data, coordinates, or play-by-play events.
Primary data source for xG: The NHL Stats API at api-web.nhle.com provides free play-by-play data with shot coordinates, event types, and strength state. No API key or credits required.
PuckAPI is useful for: Validating your xG model output against team-lev

[Description truncada. Veja o README completo no GitHub.]

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