THE MODEL · VERSION 1.0

How the forecast reaches a win probability

The stated process starts with independent ratings, adds researched game context, then considers the result alongside Kalshi Yes and No prices.

01 / INDEPENDENT STARTING POINTS

Begin with three outside ratings.

The described forecast starts from Sagarin, ESPN FPI, and 247Sports talent ratings. These independent views provide the starting point for a matchup.

01

Sagarin

An independent college-football power rating.

02

ESPN FPI

An independent football power index.

03

247Sports talent

A rating of roster talent.

02 / RESEARCHED CONTEXT

Add what the ratings may not capture.

The stated approach adds researched factors such as quarterback status, injuries, and line movement. Together with the starting ratings, these inputs are combined into a win probability.

  • Quarterback status
  • Injuries
  • Line movement

03 / MARKET COMPARISON

Give the market more influence when research confidence is low.

The stated method compares its win probability with Kalshi Yes and No prices. When confidence in the supporting research is low, the estimate is shrunk toward those market prices. No specific weights or shrinkage formula are published here.

What this app can verify

The app stores an owner-entered model view and owner-entered Yes and No prices. Its source does not calculate the ratings, research-confidence adjustment, or win probability, and it does not fetch live prices. The description here states the intended approach; its exact inputs, weights, confidence scale, and formula are not available to reproduce or independently verify from this app.

A CLEAR BOUNDARY

What this is not

  • Not financial advice.
  • Not affiliated with Kalshi.
  • Not a guarantee of any outcome.

Current model version 1.0.

Read the dated changelog