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goalie-analysis

Compute workload-adjusted and xG-adjusted NHL goalie metrics from game logs.

1|Updated May 5, 2026
Search Tags:#workload#nhl#goalie#save percentage#xsv%#gsaa#starter analysis
One-click install
npx skills add https://github.com/sports-data-hq/hockey-skills --skill goalie-analysis-sports-data-hq
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: goalie-analysis
Source: https://github.com/sports-data-hq/hockey-skills/tree/main/skills/goalie-analysis
Command: npx skills add https://github.com/sports-data-hq/hockey-skills --skill goalie-analysis-sports-data-hq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps answer the hardest goalie questions in NHL analysis: who is actually performing well, who is being propped up by context, and who is likely to regress or improve next.

Core Features & Use Cases

  • Goalie leaderboards: Rank goalies by save percentage, GAA, GSAA, xSV%, HDSA%, and quality starts.
  • Starter and workload analysis: Identify likely starters, back-to-back fatigue risk, tandem usage, and recent usage patterns.
  • Opponent matchup evaluation: Compare a goalie against a specific team or historical opponent results to add context to pregame or postgame analysis.
  • Use case: A bettor or analyst can use this Skill to separate noise from signal when evaluating whether a goalie’s recent hot streak is sustainable.

Quick Start

Use the goalie-analysis skill to evaluate a goalie’s season numbers, workload, and matchup context for tonight’s game.

Frequently Asked Questions about goalie-analysis

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

FAQPage Schema
How do I analyze NHL goalie performance using adjusted save percentage metrics?▼

Evaluating NHL goalie sustainability requires comparing raw save percentage against xSV% and GSAA. These xG-adjusted metrics isolate true talent from team defensive context, indicating whether a recent hot streak is signal or likely regression.

How do I identify NHL starters and check back-to-back fatigue risk?▼

Identifying NHL starters and back-to-back fatigue risk involves calculating workload and tandem splits from recent goalie game logs. This flags heavy usage patterns to predict starter probability and potential performance decline.

Can I use goalie stats to evaluate historical opponent matchup results?▼

Yes, you evaluate opponent matchups by comparing a goalie's historical statistics against a specific team's shot context. This combines game logs with confirmed game details to project pregame matchup performance.

What do I need to calculate GSAA and quality start percentage for a goalie?▼

Calculating GSAA and quality start percentage requires goalie game logs, team shot context, and confirmed game details. These inputs derive xG-adjusted metrics to accurately rank goalie performance.

What is the best way to rank goalies using HDSA and workload-adjusted stats?▼

The best way to rank goalies is by computing HDSA%, workload-adjusted stats, and QS% from game logs. This generates leaderboards that filter out team context, highlighting goalies consistently driving wins.

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