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 April 24th 2018

Computer ratings for every TAB meeting today.

DataBase Ratings: MON April 23rd 2018

Computer ratings for every TAB meeting today.

DataBase Ratings: SUN April 22nd 2018

Computer ratings for every TAB meeting today.

DataBase Ratings: SAT April 21st 2018

Computer ratings for every TAB meeting today.

DataBase Ratings: FRI April 20th 2018

Computer ratings for every TAB meeting today.

DataBase Ratings: THUR April 19th 2018

Computer ratings for every TAB meeting today.