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Excel format download button,vector illustrationThese 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.

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