Thiago Seyboth Wild

Predixsport publishes probabilistic forecasts for NBA, football, and tennis matches using calibrated machine-learning models.

The data is intended for fans, analysts, journalists, and researchers interested in sports modeling. See our methodology and model transparency pages for train/test splits, calibration curves, error metrics, and known model limitations.

No forecast is a guarantee. Sports events are inherently uncertain, and even well-calibrated probabilities will be wrong on individual matches — our published calibration data shows the actual long-run error rates. Bookmaker odds reflect equally sophisticated models; differences are typically small and noisy.

Liability and personal-use note. Predixsport does not provide financial, investment, or betting advice. Any decision to act on these forecasts — including but not limited to placing bets or wagers of any kind — is entirely your own and made at your own risk. Predixsport.com, its owners, employees, contributors, and affiliates accept no liability for any losses or damages arising from the use of, or reliance on, the information published on this website.

If gambling is causing harm to you or someone close, support is available: Gamblers Anonymous, National Council on Problem Gambling.