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Machine learning bolstering integrity fight – The Straight
Dispatch from thestraight.com.au
Machine learning and AI are enhancing the integrity of racing, as discussed at the Asian Racing Conference. Jack Zuber from The Hong Kong Jockey Club explained how computer models are used to monitor integrity and identify suspicious betting patterns by analyzing factors like starting prices and a horse’s settling position. Zuber noted that discrepancies between betting moves and actual performance indicate potential integrity risks, and they have developed models that can predict current horse performance effectively, leading to successful betting strategies in Hong Kong since 2011.
Direct Reports
- Machine learning aids in monitoring racing integrity and investigating betting trends.
- Key factors include starting prices and a horse's settling position for predictive modeling.
- Since 2011, betting on horses that settle within one length of the lead has shown a 10% profit on turnover.