AI horse racing tips: reading scores and probability estimates
Identify whether the number is a rank, a raw score or a calibrated probability.
Read more →AI horse racing tips / Research
AI horse racing tips: understand the ratings.
AI horse racing tips use model outputs to inform a racing opinion.
What normalising three scores does and does not show
Use the calculator to inspect the transformation. Probability claims still need testing against outcomes on data unavailable during model development.
Explore the example →Score normaliser
Understand rating scales, normalisation and the limits of turning scores into probabilities.
Open the tool →AI horse racing tips: common questions
Are AI horse racing ratings the same as winning probabilities?
A rating can rank runners without being a calibrated probability. Check the scale, target, model version and evaluation method before interpreting a score as a chance.
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.
Understand rating scales, normalisation and the limits of turning scores into probabilities.