Applying Tensors to Find Optimal Match-Ups in the NBA

A common methodology for NBA analysts to develop a metric that quantifies scoring ability of a player through the position a player is put in when taking a shot, and the association of a closest defender when the shot is taken. Some such metrics are kernel density plots of field goal percentages on the court, assist adjacency matrices, measure…

Analyzing NBA Possession Models

A possession is defined by the NBA as Section XVIII-Team Possession A team is in possession when a player is holding, dribbling or passing the ball. Team possession ends when the defensive team gains possession or there is a field goal attempt. There is a little change to that definition even, as a field goal…

Measuring the NBA MVP Race and Solomon Hill

In two days, we will find out who is the NBA MVP: James Harden, Kawhi Leonard, and Russell Westbrook. Each player has their pros and cons, and have been heavily debated over the past month since the finalists have been listed. Despite Leonard leading the Spurs into the second best record in the league (61-21)…

Identifying Player Possession in Spatio-Temporal Data

In a previous post, we took a look into some spatio-temporal data obtained through SportVU technology for the NBA and identified how to use that data to perform basic tasks such as building convex hulls to illustrate offense and defense coverage on a court; as well as provide basic Python code for the reader to…