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xg-model-building

Official

Create accurate expected goals models from NHL shot data.

Data & Analytics#play-by-play#model building#nhl#xg#expected goals#shot data#hockey analytics
AuthorPuckAPI
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps hockey analysts and data scientists develop models that estimate the probability of a shot resulting in a goal, enabling deeper tactical and player performance insights.

Core Features & Use Cases

  • Build shot-level xG models using NHL play-by-play data to quantify shot quality.
  • Predict goal probabilities based on shot location, type, strength state, and contextual features like rebounds and rushes.
  • Use Case: A user wants to analyze how different shot types and zones influence scoring chances, or validate team performance metrics like xGF%.

Quick Start

Describe to the AI: analyze NHL shot event data to generate a goal probability model considering shot location, type, and game context.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: xg-model-building
Download link: https://github.com/PuckAPI/claude-sports-analytics/archive/main.zip#xg-model-building

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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