PuckAPI
Official@puckapi · Buffalo, NY
The hockey data API. Stats, odds, and everything between.
Agent Skills by PuckAPI
Showing 28 vetted skills indexed across 1 GitHub repositories.
PuckAPIvisualization
Convert sports analytics data into matplotlib and seaborn charts.
PuckAPIprop-modeling
Project NHL player statistics and compare them to sportsbook lines.
PuckAPIteam-analysis
Analyzes hockey teams' standings, performance metrics, and comparative data.
PuckAPIbacktesting
Run walk-forward historical backtests on sports betting models to verify profitability.
PuckAPIgoalie-analysis
Analyzes NHL goalies' performance, workload, and matchup history using advanced metrics.
PuckAPIhockey-analytics
Explain advanced hockey analytics metrics like Corsi, Fenwick, PDO, xG, and RAPM.
PuckAPIpuckapi-tool
Retrieve NHL game results, player stats, standings, and betting odds via API.
PuckAPIdispatch
Routes hockey analytics requests to relevant skills and data sources.
PuckAPIfeature-engineering
Convert raw hockey data into model-ready features with lagging and rolling windows.
PuckAPIbet-tracker
Log betting entries, resolve outcomes, and analyze profit and loss metrics.
PuckAPIprobability-calibration
Calibrate sports prediction model probabilities using logistic or isotonic regression.
PuckAPIelo-engineering
Create multi-variant Elo rating systems for sports teams from historical game data.
PuckAPIwar-gar-decomposition
Derive WAR and GAR metrics from shift-level RAPM regression models.
PuckAPIdaily-card
Analyze NHL game odds and calculate betting edges for ranked recommendations.
PuckAPInl-to-query
Convert natural language hockey questions into structured data queries.
PuckAPIai-hockey-workflow
Guide hockey analytics workflows with Claude and MCP tools.
PuckAPIxg-model-building
Develop shot-level expected goals models from NHL play-by-play data.
PuckAPIdata-pipeline
Automate sports analytics pipelines for data collection, predictions, and drift detection.
PuckAPIedge-detection
Compare model probabilities against market odds to identify positive expected value bets.
PuckAPIodds-explorer
Compare live NHL odds and analyze line movements across sportsbooks.
PuckAPIwalk-forward-validation
Perform walk-forward validation for sports prediction models with season-based splitting.
PuckAPIplayoff-simulation
Model NHL season outcomes with Monte Carlo simulations to estimate playoff and championship probabilities.
PuckAPItotals-modeling
Model NHL game total goals using pace, special teams, goalie matchups, and context.
PuckAPIgame-preview
Aggregate team, goalie, and betting data into NHL game preview reports.
Frequently Asked Questions About PuckAPI
FAQPage SchemaWhat specific tasks can I perform using PuckAPI?▼
You can retrieve historical NHL game results, calculate expected goals, perform Monte Carlo playoff simulations, and identify betting edges by comparing model probabilities against live market odds. The platform supports end-to-end sports analytics from raw data ingestion to final profit and loss tracking.
Who is the target persona for these sports analytics capabilities?▼
PuckAPI is designed for sports data scientists, professional handicappers, and hockey analysts who require granular shift-level data and robust statistical modeling. It serves users building proprietary betting systems or those conducting deep-dive performance research on NHL teams and individual player metrics.
What are the prerequisites for integrating these sports analytics functions?▼
Users require a foundational understanding of statistical regression, specifically logistic or isotonic calibration, and familiarity with sports data structures. Accessing the data requires a valid connection to the PuckAPI endpoint to retrieve game schedules, player statistics, and real-time betting odds for model input.