claude-sports-analytics

by PuckAPIVerified

28 free Claude Code skills for NHL analytics, betting models, and hockey research. Works with PuckAPI MCP server for live data.

2
Stars
1
Forks
8/24/2026
Added
View on GitHubDownload ZIP

⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

Read the Terms of Service

Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/PuckAPI/claude-sports-analytics

Getting Started

Guides for using skills like claude-sports-analytics.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

PuckAPI Skills

Turn Claude into a hockey analyst. 28 free skills covering NHL analytics,
betting methodology, and predictive modeling. No code to install.


License: MIT Skills MCP Tools

Quick Start · All Skills · How It Works · Data · Docs


You:    "Build me an expected goals model from shot data"
Claude: [loads xg-model-building skill → walks you through feature selection,
         spatial coordinates, shot type encoding, logistic regression baseline,
         gradient boosting upgrade, calibration, and evaluation]
You:    "What's the edge on tonight's Sabres game?"
Claude: [loads odds-explorer + edge-detection → pulls live odds from 15+ books,
         compares to your model's probabilities, calculates EV, sizes the bet]

Quick Start

1. Clone the skills:

git clone https://github.com/PuckAPI/claude-sports-analytics.git

2. Connect live NHL data (optional — 500 free credits):

claude mcp add puckapi \
  --transport streamable-http \
  "https://mcp.puckapi.com/mcp?key=YOUR_API_KEY"

Get your free key at puckapi.com. Skills also work with your own CSV/JSON files — no API key needed.

3. Ask Claude anything:

"Analyze the Maple Leafs' season — record, Corsi, xG, special teams"
"Help me build a game prediction model"
"Show me tonight's odds and flag any line movement"
"Compare McDavid and MacKinnon across every stat"
"Backtest my betting strategy over the last 3 seasons"

The dispatch skill routes your request to the right 2-3 skills automatically.


Skills

Data Exploration — 7 skills
SkillWhat It Does
game-lookupFind games by date, team, season. Scores, schedule, results.
team-analysisStandings, advanced stats, strength of schedule, power rankings.
player-scoutingPlayer search, comparison, NHLe translation, career trajectory.
goalie-analysisGSAA, xSV%, high-danger save rate, workload tracking.
odds-explorerMulti-book odds comparison, best price, line movement detection.
nl-to-queryTranslates natural language questions into structured data queries.
game-previewFull pre-game breakdown: matchup, goalies, trends, odds, prediction.
Hockey Analytics — 2 skills
SkillWhat It Does
hockey-analyticsCorsi, Fenwick, xG, PDO, RAPM, WAR — definitions, context, proper usage.
xg-model-buildingBuild an expected goals model from scratch. Feature engineering through calibration.
Modeling Methodology — 7 skills
SkillWhat It Does
feature-engineeringRolling windows, lag features, leakage detection, feature catalogs.
walk-forward-validationTemporal cross-validation. Refuses k-fold on time-series data.
model-buildingLR → RF → XGBoost ladder. Hard-vote ensemble. Knows when to stop.
elo-engineering5 Elo variants (standard, margin, venue, recency, surface) with tuning.
probability-calibrationPlatt scaling, isotonic regression, reliability diagrams, Brier decomposition.
odds-analysis4 devigging methods: power, multiplicative, Shin, worst-case.
data-pipelineGitHub Actions automation, SQLite schema design, credit budgeting.
Betting — 5 skills
SkillWhat It Does
edge-detectionExpected value, Kelly criterion sizing, closing line value tracking.
backtestingWalk-forward historical strategy simulation with realistic constraints.
daily-cardFull slate analysis with edge rankings. Requires your model's probabilities.
bet-trackerLog predictions, track P&L, CLV, and test for statistical significance.
visualizationCalibration plots, edge distributions, player cards, correlation matrices.
Advanced Models — 4 skills
SkillWhat It Does
totals-modelingOver/under prediction. Pace metrics, Poisson distribution, under bias.
prop-modelingPlayer prop projections. TOI-first architecture, same-game parlay correlation.
war-gar-decompositionRAPM ridge regression, component GAR, contract surplus valuation.
playoff-simulationMonte Carlo bracket simulation. Series pricing, path probabilities.
Workflow + Infrastructure — 3 skills
SkillWhat It Does
dispatchRoutes your request to the right skills automatically. Start here.
ai-hockey-workflow4 patterns for hypothesis testing: explore, model, validate, deploy.
puckapi-toolMCP tool router. 13 endpoints, credit tracking, BYOD data support.

How It Works

Skills are markdown files, not code. Each one teaches Claude a specific domain. When you mention a topic, Claude reads the relevant skill and gains that expertise for the conversation.

What each skill includes:

  • When to use / when NOT to use
  • Step-by-step methodology
  • Python/pandas code templates
  • Anti-patterns it actively prevents
  • Chaining to the next logical skill

What skills prevent:

  • k-fold on time-series data
  • Future data leakage in features
  • Overfitting to small samples
  • Wrong devigging methods
  • Misinterpreting advanced stats

Data

SourceCoverage
PuckAPI MCP22,000+ games · 107,000+ odds records · 3,000+ players · 16 seasons (2008-present)
Your own filesEvery skill accepts CSV/JSON. Bring your own data, no credits needed.

Reference Docs

DocContents
hockey-glossary.mdCorsi, Fenwick, xG, PDO, RAPM, WAR
betting-glossary.mdOdds formats, vig, devigging, Kelly, CLV
tool-routing.mdDecision tree for picking the right data source
season-logic.mdNHL season IDs, game ID format, lockout handling

Contributing

Found an issue with a skill? Have a methodology improvement? PRs welcome.

Skills are markdown files in skills/[name]/SKILL.md. Each skill has a consistent structure — follow the existing patterns.


Frequently Asked Questions

What is claude-sports-analytics?

claude-sports-analytics is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by PuckAPI. 28 free Claude Code skills for NHL analytics, betting models, and hockey research. Works with PuckAPI MCP server for live data. It has 2 GitHub stars.

Is claude-sports-analytics safe to use?

Yes. claude-sports-analytics passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install claude-sports-analytics?

Clone the repository with "git clone https://github.com/PuckAPI/claude-sports-analytics" and add it to your Claude Code skills directory (see the Installation section above).

Are there alternatives to claude-sports-analytics?

Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh claude-sports-analytics against similar tools.

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