Daily horse racing DataBase ratings

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 May 30th 2017

Computer ratings for every TAB meeting today.

DataBase Ratings: MON May 29th 2017

Computer ratings for every TAB meeting today.

DataBase Ratings: SUN May 28th 2017

Computer ratings for every TAB meeting today.

DataBase Ratings: SAT May 27th 2017

Computer ratings for every TAB meeting today.

DataBase Ratings: FRI May 26th 2017

Computer ratings for every TAB meeting today.

DataBase Ratings: THUR May 25th 2017

Computer ratings for every TAB meeting today.