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hockey-analytics

Explain hockey analytics metrics like Corsi, xG, and WAR with league context.

1|Updated May 5, 2026
Search Tags:#analytics#pdo#war#xg#hockey#corsi#rapm
One-click install
npx skills add https://github.com/sports-data-hq/hockey-skills --skill hockey-analytics-sports-data-hq
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hockey-analytics
Source: https://github.com/sports-data-hq/hockey-skills/tree/main/skills/hockey-analytics
Command: npx skills add https://github.com/sports-data-hq/hockey-skills --skill hockey-analytics-sports-data-hq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users understand advanced hockey analytics by translating complex metrics into plain language and connecting them to real team or player performance.

Core Features & Use Cases

  • Metric Interpretation: Explains Corsi, Fenwick, PDO, xG, high-danger chances, RAPM, and WAR in practical terms.
  • Contextual Analysis: Places team and player numbers in league context so users can judge whether performance is strong, weak, sustainable, or noisy.
  • Real Data Examples: Uses team, player, and goalie stats to make metric explanations concrete for season reviews, scouting, and research.

Quick Start

Ask me to explain a hockey metric for a specific team or player this season.

Frequently Asked Questions about hockey-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is Corsi in hockey analytics and how does it measure team performance?▼

Corsi in hockey analytics measures shot attempt differential at even strength, indicating puck possession. This Skill explains Corsi alongside Fenwick and PDO, placing team numbers in league context to show whether performance is strong, weak, or sustainable.

How do I interpret expected goals or xG for player evaluation?▼

Expected goals or xG evaluates players by weighting shot quality and location rather than raw volume. This Skill translates xG, high-danger chances, and RAPM into plain language, applying league benchmarks to assess if player scoring is sustainable or noisy.

Can I retrieve real team and goalie stats for season analysis?▼

Yes, you can retrieve real team and goalie stats for season analysis. This Skill uses optional PuckAPI stat retrieval to pull concrete team, player, and goalie numbers, making metric explanations and scouting evaluations specific and data-driven.

What is the best way to compare WAR and RAPM metrics for hockey players?▼

Comparing WAR and RAPM metrics is best done by viewing them as complementary evaluation tools. This Skill explains how WAR captures total player value while RAPM isolates even-strength impacts, placing both in league context for accurate metric comparisons.

Why does PDO indicate unsustainable team performance in hockey?▼

PDO indicates unsustainable team performance because it tracks combined shooting and save percentages, which regress heavily toward league average. This Skill explains PDO interpretation, helping you judge whether a team's current winning streak is driven by luck or skill.

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