elo-rating-systems
CommunityUnified Elo rating system for multi-sport bets.
AuthorMGPowerlytics
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill standardizes and documents Elo rating implementations across multiple sports.
Core Features & Use Cases
- Unified BaseEloRating: A single abstract class that defines predict, update, get_rating, expected_score, and get_all_ratings to ensure consistency across all sport-specific implementations.
- Sport-specific parameters: Per-sport K-factor and home_advantage configurations enable accurate modeling for NBA, NHL, MLB, NFL, EPL, Ligue1, NCAAB, WNCAAB, and Tennis.
- Migration & refactoring support: Encourages refactoring existing sport classes to inherit from BaseEloRating with backward-compatible adapters (legacy methods).
- Easy extension: Create new sport Elo implementations by inheriting from BaseEloRating and implementing all abstract methods.
- Testing discipline: Emphasizes TDD for integration and compatibility.
Quick Start
- Create a new sport Elo rating by extending BaseEloRating and implementing the required methods, then invoke super().init(k_factor, home_advantage, initial_rating) to initialize defaults.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: elo-rating-systems Download link: https://github.com/MGPowerlytics/nhlstats/archive/main.zip#elo-rating-systems Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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