About AI Horse Racing Ratings

Understand rating scales, normalisation and the limits of turning scores into probabilities.

Our focus

AI horse racing tips use model outputs to inform a racing opinion. AI betting tips can involve ratings, probabilities or ranked selections, so the meaning of the output matters. This publication focuses on rating scales and score normalisation. A model can order runners without producing calibrated chances. Scores of 90, 80 and 70 do not imply that the first runner wins 90 percent of the time. Before comparing outputs, establish the target being predicted, the score direction, the data cutoff and whether the scale has an empirical probability interpretation. A convenient transformation does not supply that interpretation by itself.

Our publisher

Part of Past The Post Technolgies Pty Ltd

AI Horse Racing Ratings belongs to the collection of racing, AI and technology publications described in our website directory. Each publication focuses on a specific research question, practical method or product requirement.

Racing research

For horse racing ratings, form and related racing resources, visit PTPTips.

Editorial approach

Our guides distinguish recorded facts from interpretation, explain their assumptions and use clearly identified hypothetical scenarios for worked examples. Changing race information and commercial product details should be checked at their source.

For a question or correction, use the contact options on PTPTips and include the publication name and article URL.