Fast, accurate probabilities for races and contests with correlated performances: who wins, finishing positions, and the inverse problem of recovering abilities from observed probabilities. The same engine computes multinomial-probit choice shares and drives a ratings library for sports and games. Ports in JavaScript, R, Julia and Rust are kept in numerical agreement with the Python reference.
About 119,000 all-time downloads from PyPI.
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Peter Cotton
github.com/microprediction/winning
github.com/microprediction/winning