For Researchers · Elo Rating
Elo Rating for a sprint race
Built for researchers prototyping or validating an idea. Prototype fast, reproduce exactly, and share a citable, interactive version of your model. Simulate a sprint race live below — adjust the inputs and watch it respond, right in your browser.
Elo Rating SystemLive
who should win?
Player A
1600
64%
vs
Player B
1500
36%
Controls
Presets
The Elo system, born in chess and now everywhere from tennis to video games, turns a rating gap into a win probability. Every 400 points means a tenfold odds advantage. After each game, ratings shift by the K-factor times the surprise — beating a much stronger opponent gains far more than beating a weaker one, and an upset costs the favorite dearly.
Data Inspector
A win probability64.0%
B win probability36.0%
A rating if win+12
A rating if loss-20
Governing equation
Reading this result: A is rated +100 vs B, a 64% win chance — every 400-point gap multiplies the odds tenfold. With K=32, a win nudges A by 12 but a loss costs -20, so beating a stronger foe pays far more than beating a weaker one.
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Frequently asked questions
- Is this good for researchers?
- Yes — this version of "Elo Rating for a sprint race" is framed for researchers prototyping or validating an idea. Prototype fast, reproduce exactly, and share a citable, interactive version of your model.
- Do I need to install anything?
- No. It runs in any modern browser, free, with no account required.