NBA Data Science: Breaking Down NBA Data

Recently, the Oklahoma City Thunder and the San Antonio Spurs played to a frenetic 112 – 106 OKC win on October 28th. It was one heck of a statement to open the year for the NBA as the Thunder returned to the court as a complete, healthy unit; the first time since February of last…

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,…

NBA Shot Charts via Kernel Density Estimation

Shot charts have been used for decades, used to identify locations where players make field goals and to identify locations where players give up field goals. Decades ago, each player has their own chart with four quarters. Typically if a field goal is made, the player has a ‘o’ is placed on the relative location on…