MustelidPace

Predict ferret race finish times from historical splits using machine learning

Data & AnalyticsFreemium

MustelidPace trains a gradient-boosted regression model on each ferret's career split time history, factoring in tunnel configuration, competitor field size, and ambient temperature to generate pre-race finish time predictions with confidence intervals. Bettors and organizers use the predictions for seeding and field balancing decisions. The model self-updates after every race with new observed data to improve future accuracy.

Key Features

• ✓Gradient-boosted finish time regression model
• ✓Career split history personalized training
• ✓Tunnel configuration and temperature covariates
• ✓Confidence interval prediction display
• ✓Post-race self-updating model improvement