basketball

It’s been a while since I’ve done an NBA analytics project, but I’ve recently been intrigued by interactions between players within teams. Oftentimes, fans have a hunch that two players …

I presented this project as a poster at the CMU Sports Analytics Conference. The full research and associated code and conference poster are available online. Overview Since the advent of basketball analytics, a metric …

I used archived 2015-16 SportVU player-tracking data to look at where on the court assists come from. Along with league-wide trends, I looked at assists off misses and compared guards, forwards, centers, and individual …

I recently developed a win probability model for the awesome py_ball package. In this blog post, I’ll describe the methods I used to develop the model. Methods The model estimates win probability using the amount …

With the NBA season being postponed, there has been a lack of basketball in the world. As a result, I thought it would be interesting to look more deeply at whether the Elam Ending has a place in the current NBA and how …

I used k-means clustering to group similar NBA shot charts and identify common shooting tendencies. Methodology My approach was to bin groups of shots, much like we sometimes do for visualization. This let me represent …

The 2019 NBA Playoffs have been excellent, with teams playing at their absolute best. We’ve seen teams like the Warriors and the Bucks absolutely dominate, but how have these teams, along with other teams, changed …