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A Twitter user shares a success story of turning $290 into $43,051 through betting on tennis and World Cup markets, contrasting it with another case of weather betting to highlight strategic high-return predictions.
This paper proposes a multimodal framework called PART for predicting injury risk in tennis players using machine learning on data from wearables, questionnaires, and video analysis, showing strong performance in holistic athlete assessment.