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edge-detection

Compare calibrated model probabilities with market odds to detect positive expected value bets.

1|Updated May 5, 2026
Search Tags:#sports betting#kelly criterion#bankroll management#expected value#odds comparison#closing line value
One-click install
npx skills add https://github.com/sports-data-hq/hockey-skills --skill edge-detection-sports-data-hq
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: edge-detection
Source: https://github.com/sports-data-hq/hockey-skills/tree/main/skills/edge-detection
Command: npx skills add https://github.com/sports-data-hq/hockey-skills --skill edge-detection-sports-data-hq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns calibrated win probabilities and market odds into clear betting decisions, helping you identify whether a wager has genuine positive expected value.

Core Features & Use Cases

  • Expected Value Analysis: Compare your model probability to available odds and quantify edge size across a slate.
  • Bankroll Management: Apply full Kelly, fractional Kelly, and simultaneous-bet caps to size wagers conservatively.
  • Market Validation: Track closing line value and line movement to see whether the market agrees with your model.
  • Use Case: You have a list of hockey game probabilities and want to rank the best bets, shop for the best line, and determine how much to stake on each play.

Quick Start

Ask the edge-detection skill to compare your model probabilities against current odds and size the bets using quarter Kelly.

Frequently Asked Questions about edge-detection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate expected value for sports betting odds?▼

Calculate expected value by comparing your calibrated model probabilities against available market odds to quantify edge size and identify positive expected value bets across a slate.

What's the best way to size hockey bets using Kelly criterion?▼

Size hockey bets by applying full Kelly, fractional Kelly, or simultaneous-bet caps to your bankroll to conservatively control risk exposure across multiple wagering opportunities.

How does closing line value tracking work for sports betting?▼

Closing line value tracking works by monitoring line movement and comparing closing odds to your wagered odds, validating whether the market agrees with your model probabilities.

Can I rank a full slate of hockey games by betting edge?▼

Yes, you can rank a full slate of hockey games by comparing your model probabilities against market odds to quantify edge size and prioritize the most profitable wagers.

Do I need calibrated win probabilities to detect positive expected value bets?▼

Yes, calibrated win probabilities are required to compare against market odds, detect positive expected value bets, and determine actionable bet sizing and risk controls.

How do I convert betting odds to use fractional Kelly sizing?▼

Convert available market odds into implied probabilities, compare them with your model probabilities to find the edge, and apply a fractional Kelly multiplier to your bankroll for sizing.

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