If you’re not reading Nylon Calculus, you’re making a mistake. The site consistently provides high level analysis which bridges ideas between analytics and what we’re seeing with our eyes to offer insight to us fans. Today they posted a great graphical look at the “style” NBA offenses exhibit that is worth your time. Seriously, go read it. We’ll be here when you get back.
Okay, now that you’re back, I’ll let Ian Levy explain the approach he took for determining each trait which made up the graph:
Ball movement is measured with the average touch time for each team, from the NBA’s player tracking statistics. A lower average touch time means the ball is moving from player to player more quickly.
Player movement is measured with a combination different NBA.com tracking statistics, and works out to average distance traveled per 24 seconds of offensive possession.
Pace is measured with the average length of an offensive possession from Inpredictable, a more accurate representation for how quickly a team is working than traditional pace.
Shot selection continues to be the trickiest measure. In the past I had used Seth Partnow’s XeFG% which estimates what a team’s effective field goal percentage should be given the location of their shots, the mix of catch-and-shoot and pull-ups, and how close the nearest defender was. However, those stats were built on the player tracking shot logs which stopped being publicly available on Jan. 25 of last season. This year I went with a more simplistic measure and used MoreyBall percentage — in this case the percentage of a team’s true shooting opportunities that came at the rim, from the free throw line, or on a 3-pointer. It’s a generalized measure but captures something about how much each team hews to the shots that are, on average, the most efficient.
All pretty straight forward, right? Good. Now see below for the Lakers distribution in graphical form: