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: THUR June 21st 2018

Computer ratings for every TAB meeting today.

DataBase Ratings: WED June 20th 2018

Computer ratings for every TAB meeting today.

DataBase Ratings: TUE June 19th 2018

Computer ratings for every TAB meeting today.

DataBase Ratings: MON June 18th 2018

Computer ratings for every TAB meeting today.

DataBase Ratings: SUN June 17th 2018

Computer ratings for every TAB meeting today.

DataBase Ratings: SAT June 16th 2018

Computer ratings for every TAB meeting today.