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We study problems at the intersection of Sports Analytics and current research in Statistics, Machine Learning, and Visualization. Using innovative methods, we get novel inferences from big data sets, such as SportVu NBA optical tracking data. Expected Possession Value, Counterpoints and many more. Tools and theory for intelligent analysis of big data. Play detection, ball movement, resource allocation. Our projects aim to demonstrate how new forms of sports intelligence.
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