While there has always been interest in analyzing sports data, this research area has received significantly more attention in recent years due to both the recognition of the importance of objective statistics and the proliferation of available data. New technology is starting to enable the capture of game play at unprecedented levels of detail, including the tracking of positions of all players and game events at all times. Instead of being starved for data, analysts now have access to volumes of highly accurate gameplay data. This data deluge requires the development of novel visualization and machine learning tools and is leading to major new developments in sports data science.
In this talk, we will review recent developments in this area and the enabling technologies. We will also cover our recent work, including the development of the Statcast Baseball Metrics Engine (BME) and related data science tools and techniques.
This is joint work with Dr. Carlos Dietrich, and many others at NYU and MLB Advanced Media.