hit-rate-analysis

Community

Analyze and optimize prediction hit rates.

Authornajicham
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill makes it easy to quantify how often prop predictions hit the actual outcomes across different confidence bands, edge levels, player tiers, and time frames, reducing guesswork in model evaluation.

Core Features & Use Cases

  • Hit rate by edge: measure how edge thickness correlates with accuracy.
  • Confidence-aware evaluation: compare performance across confidence buckets to diagnose calibration.
  • Model comparison & drift detection: track multiple models (e.g., catboost variants, ensembles) over time to spot drift and inform model selection.
  • Use Case: A data analyst wants to decide which model to put into production for daily prop bets based on recent hit-rate stability and edge-driven profitability.

Quick Start

Use the hit-rate-analysis skill to compare the latest catboost_v9 and ensemble_v1_1 hit rates over the last 30 days.

Dependency Matrix

Required Modules

None required

Components

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: hit-rate-analysis
Download link: https://github.com/najicham/nba-stats-scraper/archive/main.zip#hit-rate-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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