These horse racing ratings are produced using a machine-learning ensemble approach, that is the use of 25 separate models to come up with a single, overall prediction. The model uses over 40 variables related to runner-specific factors, race-specific factors and track-specific factors. The model is retrained on a weekly basis to ensure it keeps up with any trends or changes in racing.

Latest Database Ratings

DataBase Ratings: TUE November 21st 2017

Computer ratings for every TAB meeting today.

DataBase Ratings: MON November 20th 2017

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DataBase Ratings: SUN November 19th 2017

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DataBase Ratings: SAT November 18th 2017

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DataBase Ratings: FRI November 17th 2017

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DataBase Ratings: THUR November 16th 2017

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