Sports Analytics

We present a tool that can visualize player performance profiles in a timely manner while taking into account factors such as play-style and game dynamics. Our approach generates interpretable heatmaps that allow us to identify and analyze how non-spatial factors, such as game dynamics or playstyle, affect player performance profiles.

Developing machine learning models (multi-resolution tensor latent factor models with tensor learning) to produce NBA players shooting profiles using spatio-temporal tracking data.