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Pythagorean Expectation

A team's real strength is written in how many points it scores and allows — not its win-loss record. The Pythagorean expectation reveals who is lucky and who is good.

Pythagorean ExpectationLive

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Bill James discovered that a team's win percentage tracks the ratio of points scored to points allowed, raised to a sport-specific exponent — the Pythagorean expectation. It predicts records better than actual wins early in a season, exposing teams that are lucky or unlucky and due to regress. The exponent varies from ~1.8 in baseball to ~14 in basketball.

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Data Inspector

Expected win %53.2%
Projected wins86 of 162
Exponent1.83

Governing equation

Reading this result: A near-even scoring ratio lands close to .500 (53.2%); with an exponent of 1.83, Baseball win % swings sharply once the ratio tilts.

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How it works

Bill James found that win percentage closely follows the ratio of points scored to points allowed, raised to a sport-specific exponent. It often predicts future records better than current standings, flagging teams whose luck is about to turn. The exponent ranges from about 1.8 in baseball to nearly 14 in basketball, reflecting how much scoring separates teams.

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Frequently asked questions

Is this Pythagorean expectation sports tool really free?
Yes. Pythagorean Expectation runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.