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…

The Real 2017 NBA Draft Lottery Odds

With the NBA recently announcing the tie-breaking procedures, we finally obtain the draft orders up to the first three spots, decided by the lottery. That is, after the first three teams are selected, the remaining eleven spots of the draft lottery are in order of tie-broken winning percentages. If the Minnesota Timberwolves and the New…

Spatio-Temporal Data In the NBA

In our last post we saw that we can use a simple nonparametric statistical method, called the kernel density estimator, to build nice looking scoring charts. As we saw, these charts give a better idea of the distribution of the scorer when compared to the basic shooting chart used for several decades past. In this post,…