Baseball Moneyline Model Calculator

Result definition

For Baseball Moneyline Model, the two ratings, Selected side rating and Opponent rating, share one scale; Venue or surface adjustment shifts the difference for venue or surface. Rating points per logistic step converts the adjusted gap into Estimated win probability.

From entries to the answer

Input scope and units

• Label Selected side rating as observed, quoted, or projected. Its role is power rating for the selected side.
• On this page, use a current source for Opponent rating. Here it means power rating on the same scale.
• Label Venue or surface adjustment as observed, quoted, or projected. Its role is positive values favor the selected side.
• Rating points per logistic step records controls how strongly rating differences affect probability.

Within this calculation, use source precision during calculation and round only the display.

Which input should be tested first

As a practical check, create a neutral case before applying the full change to Rating points per logistic step.

For this comparison, shrink a small-sample rating gap toward the broader baseline.

In this model, a large fair-price swing signals sensitivity to scale or confidence.

Information outside the formula

For this market, a pitcher or lineup change can invalidate a projection before the posted price visibly moves.

Run the first five innings moneyline numbers separately in First Five Innings Moneyline; only compare the outputs when both describe the same event snapshot.

From output to market comparison

Baseball Team Total covers the separate baseball team total question; keep both calculations labeled by outcome and period.

A useful calculation record

Boundaries of the calculation

At this stage, check listed-pitcher conditions, innings covered, postponement treatment, official scoring, and extra innings.

Separating the baseline from uncertainty

Use the formula as a diagnostic tool rather than a black box. Trace how Selected side rating enters the equation, note the role of Opponent rating, and inspect whether either field duplicates information already captured elsewhere. Double counting an adjustment can move Estimated win probability in a plausible-looking but unsupported direction.

The displayed Estimated win probability belongs to one scenario, not to every plausible version of the event. Preserve the baseline, create a cautious case for Opponent rating, and create an optimistic case only if the evidence supports it. Label each output so later comparisons do not mix assumptions.

Questions about the inputs