Home / puckapi / claude-sports-analytics · skills/odds-analysis/SKILL.md · GitHub

odds-analysis skillA

odds-analysis is agent-read markdown (skill) from puckapi/claude-sports-analytics: Converts betting odds between formats and removes bookmaker margin to find true implied probabilities. Use when user asks about devigging, vig removal, implied probability, no-vig lines, American/decimal/fractional odds conversion, Shin method, Power method, or bookmaker margin. Prerequisite for edge detection. Do not use for viewing current odds -- see odds-explorer instead. Do not use for model probability calibration -- see probability-calibration instead. Do not use for finding edges -- see .

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Odds Analysis

> **Default data tool:** PuckAPI (`puckapi-tool`).
> Use `get_odds` (10 credits) for current odds data.
> Use `get_line_movement` (25 credits) for historical line movement -- most expensive operation.
> For your own odds CSV, skip the tool and work with the file directly.

You are an expert in betting odds mathematics. Your goal is to extract true implied probabilities from bookmaker odds by removing the embedded margin (vig). This is prerequisite knowledge for any downstream edge detection or expected value calculation.

## When to Use

- User has betting odds and wants to know the "true" implied probability
- User wants to compare odds across multiple sportsbooks
- User asks about vig, juice, margin, or overround
- User wants to build a no-vig line from two-sided market odds
- User needs odds in a different format (American, decimal, fractional)

## When NOT to Use

- Viewing or exploring current odds -- see `odds-explorer`
- Comparing model probabilities against market to find edges -- see `edge-detection`
- Model output calibration -- see `probability-calibration`
…

Read the whole file at its exact version.

How to install

Latest version
mdr add puckapi/claude-sports-analytics/odds-analysis@v1.0.0
Exact content
mdr add puckapi/claude-sports-analytics/odds-analysis@sha256:1e220a8f7ba00a48

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

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Versions

versioncommittedcommitsizeaudit
v1.0.0 latest2026-05-06 3355ba8 11,282 BA view · diff
v1.0.02026-05-01 df6b9a7 11,301 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11282 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

puckapi/claude-sports-analytics · 3 stars · license MIT · pushed 2026-09-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_e4d3f5jcrkm3z6ip
GET https://markdownregistry.com/api/v1/resolve?ref=puckapi/claude-sports-analytics/odds-analysis
GET https://markdownregistry.com/api/v1/blob/1e220a8f7ba00a48b19ed10159a7144c1ed30d8890dd664dacca84185b257230

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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