Suppose a game completes and three players post the following stat lines: Player A: 31 points, 13 rebounds, 3 assists Player B: 20 points, 11 rebounds, 9 assists Player C: 20 points, 21 rebounds, 0 assists Frequently, we ask who was the better player or which player contributed the most to the game. Unfortunately, most…
On December 31st, James Harden dropped yet another 40+ points triple double on the Memphis Grizzlies in a 113 – 101 victory in Houston. It wasn’t the 43 points, 10 rebounds, and 13 assists that was the most impressive stat of the night, but rather the fact that Harden scored 43 points to spite making…
Once of the core applications for tracking data is the ability to apply machine learning to gain insight into player tendencies. Unfortunately, due to small samples, we cannot simply measure a particular player’s track paths and say “this player tends to do x.” Instead, we must adopt methods that lift information off a player and…
Here’s a hill I will die on: The primary goal of spacing in basketball is to manipulate a defense into a providing a high quality shot for an offense. To me, as a former player/coach/scout/analyst/front office specialist, this is intuitive. However, as one Eastern Conference representative responded to me: I’m not sure about that. Spacing…
Earlier this fall, we introduced non-negative matrix factorization to help us analyze field goal trends within the NBA and applied it to the 2017-18 NBA season. There we compared the Boston Celtics and Houston Rockets to show the immense discipline the Rockets displayed while playing “Moreyball.” That is, a high propensity to take three point…
As a kid growing up in the Los Angeles area, playing in AAU, the Nike leagues, and the Marmonte; we had a team that was a little ahead of its time: take three’s, switch everything, run teams into the ground by scoring before the defense was set, and force every opponent shot in the short…
As of the morning of November 20th, the Four Factors line for the 7-9 Dallas Mavericks read off as follows: Effective Field Goal Percentage: 0.527 (8th in the league) Turnover Percentage: 14.4 (28th in the league) Offensive Rebound Percentage: 22.6 (18th in the league) Free Throw Rate: 0.22 (7th in the league) Opponent eFG%: 0.527…
A couple years ago, I presented an introduction to the Wilcoxon-Mann-Whitney nonparametric test with respect to identifying whether scoring was indeed increasing in the NBA. This was in 2015; and now that we are a few seasons along, we can start tracking the year-to-year trends. The reason for this popping up once again is primarily…
Over the last decade, the subtle changes from offenses revolving around mid-range jump shots to long-range three point attempts have become much more explicit as teams such as the Houston Rockets had come off a 2017-18 campaign launching over 50% of their field goal attempts from beyond the arc. The mathematics is simple: “3 >…
By popular demand, attached you will find basic course materials that I developed for a sports analytics course taught at UW-Madison. The goal is simple: introduce Pandas and show how column manipulations, groupings, and report building could be accomplished. This was a working document at the time; and has not been updated since the course.…