by 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.
About 119,000 all-time downloads from PyPI.
github.com/microprediction/winning
github.com/microprediction/winningMon, 05 Oct 2026 23:40:07 UTC
There was a problem with this listing's funding.json manifest. If it is not fixed, the listing will be removed from the portal.
Crawl errorerror: https://github.com/microprediction/skaters/blob/main/.well-known/funding-manifest-urls?raw=true returned 429