Devin’s recent hot shooting has pulled him up firmly above the league’s average. Derrick is still having a rough shooting start to the season. With such his usage third in the league, Paul George is clearly the star on the court for this game.
Game Score is the size of the circle. Devin has worked himself into the Happy Quadrant 🙂
It’s going to be fun to watch this chart grow each week. Currently the ANOVA does not produce a post hoc p-value below 0.9–too early in the season and not enough data points.
Axis intersections are at league average for those with >150 total minutes played this season.
Axis intersection at league average of .343. Hornet, 76ers, and Nets still leading the league in 3pt%. GSW, Jazz, Heat, and Bulls leading in Simple Rating System.
Intersection of each axis is the league average for those that have played more than 120 minutes. The “S”s you see are the team average for each team. Thaddeus Young has now met the minutes minimum requirement to be included on the chart. And, wow, debuted in exactly the correct quadrant! Data from Basketball Reference.
At note on Game Score: Here are the variables and weights in Mr. Hollinger’s equation. It’s a decent way to look at overall box score impact. I apply this formula to the current per game averages for each player–It results in a number that is rarely off by more than 0.2.
- Points +
- + 0.4 * FG made
- – 0.7 * FGA
- – 0.4*(FTA – FT)
- + 0.7 * ORB
- + 0.3 * DRB
- + STL
- + 0.7 * AST
- + 0.7 * BLK
- – 0.4 * PF
Intersection of each axis is the league average for those that have played more than 120 minutes(~55% for True Shooting and 19.2 for usage). The “S”s you see are the team average for each team for True Shooting. Only players with >120 minutes played this season are included in the game primer.
A reflection: Luka often has the highest usage in the league, so plots including him can get a bit awkward.
Data from Basketball Reference.
A few things to help. Intersection of each axis is the league average for those that have played more than 90 minutes(~.55 for TS% and 19.2 for usage). The “S”s you see are the team average for each team. It’s clear by the distribution that the Kings get their shots to fall more than the Spurs. Barnes is having a great year and Holmes is very effective. Data from Basketball Reference.