AI horse racing tips: how to evaluate prediction quality
Freeze the test period before changing the model.
Read more →AI horse racing tips / Research
AI horse racing tips, explained through probability.
AI horse racing tips use model outputs to inform a racing opinion.
AI Horse Racing Prediction Lab
Inspect binary probability error with a small example
Do not compare scores computed over different populations without explaining the difference.
Explore the example →Probability error scorer
Test probability statements against outcomes rather than judging a model by its name.
Open the tool →AI horse racing tips: common questions
How should AI horse racing tips be evaluated?
Keep predictions made before the event, define the outcome and test the full population against an appropriate baseline. A short winning run does not validate probability claims.
Are current AI betting tips generated on this site?
This publication explains the methods and provides a local research tool. It does not train a model or generate live selections. Follow the product reference to inspect the current PTPTips offering directly.
Put the research into context.
Test probability statements against outcomes rather than judging a model by its name.