Great Lakes Analytics in Sports Conference
Associate Professor | University of Pittsburgh
Sports and Fractals
This talk presents a novel approach in analyzing spatial sports data. It starts by introducing the notion of fractal dimensionality (FD) borrowed from the complex systems literature. It then moves on to showing how FD can be used in analyzing sports data. First, we establish the ability of FD to provide reliable results by quantifying the well-known spatial bias that NBA teams exhibit with regard to 3-point shots. We then present possible applications of FD in evaluating teams and players in two different sports, soccer and basketball.
Kostas Pelechrinis is an associate professor in the School of Computing and Information at the University of Pittsburgh and his research involves developing analytical methods and metrics for multi-dimensional data, utilizing linear algebra and statistical techniques. He is a recipient of the prestigious Young Investigator Award from the Army Research Office.
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