PuckAPI

31 mods across 2 repositories, 2 stars between them.

team-analysis

25

PuckAPI/claude-sports-analytics

Skill Claude CodeCodex

Evaluates teams via standings, stats, division/conference rankings, season trends, and strength of schedule. Use when user asks how a team is doing, where they stand in the division, what their record is, how they compare to other teams, or wants to understand conference/playoff positioning. Do not use for individual…

2 3mo ago A 103 tokens original MIT

totals-modeling

26

PuckAPI/claude-sports-analytics

Skill Claude CodeCodex

Builds over/under prediction models for NHL game totals using pace, special teams, goalie matchup, and contextual features. Use when user asks about totals modeling, over/under prediction, predicting total goals, goal scoring rates, or NHL scoring trends. Do not use for moneyline or spread prediction -- see…

2 3mo ago A 97 tokens original MIT

visualization

27

PuckAPI/claude-sports-analytics

Skill Claude CodeCodex

Generate shareable visual outputs for sports analytics: calibration curves, equity curves, radar charts, matchup cards, probability histograms, and player cards. Use when user asks to visualize, chart, plot, graph, show, display, generate a visual, make a shareable image, or wants to post analysis to social media. Do…

2 3mo ago A 103 tokens original MIT

PuckAPI/claude-sports-analytics

Skill Claude CodeCodex

The correct evaluation methodology for time-series sports prediction models. Use when user asks about model validation, cross-validation, train/test split, accuracy evaluation, overfitting detection, or statistical significance of sports model results. Refuses to run k-fold cross-validation on time-series data -…

2 3mo ago A 94 tokens original MIT

PuckAPI/claude-sports-analytics

Skill Claude CodeCodex

Builds WAR (Wins Above Replacement) and GAR (Goals Above Replacement) from scratch using RAPM ridge regression on shift-level data. Use when user asks about WAR, GAR, RAPM, player value metrics, wins above replacement, contract surplus value, JFresh-style player cards, or all-in-one player evaluation. Do not use for…

2 3mo ago A 116 tokens original MIT

xg-model-building

30

PuckAPI/claude-sports-analytics

Skill Claude CodeCodex

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…

2 3mo ago A 120 tokens original MIT

puckapi

31

PuckAPI/mcp

MCP server Claude CodeCodexCursor

The hockey data API. Stats, odds, and everything between. REST API and MCP server. Remote server at mcp.puckapi.com.

0 3mo ago A tokens not measured original MIT