Sports Analytics Methods – Spatio-Temporal Patterns and Deep Learning

This is a review of the spatio-temporal patterns and deep learning research conducted by Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, and Greg Mori. Player interactions are a key component of team sports. Every player has a unique trajectory style. Putting these players together as a team creates a unique style for that team.…

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Sports Analytics Methods – Data Driven Ghosting with Deep Imitation Learning

This is a review of the data driven ghosting with deep imitation learning research conducted by Hoang M. Le, Peter Carr, Yisong Yue, and Patrick Lucey. Statistics typically compare players and teams to the league average. However, this can be very limiting. A coach may want to compare their team against an opposing team rather…

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