Yesterday, I posted a new idea for visualizing box scores: Game Stacks. While the first version did a good job of showing shooting percentages and turnover rates, it didn’t do a good job on rebounds. As my pops pointed out, Indiana had a big rebounding advantage over Michigan by the basic numbers (36-22), so it seemed wrong to rely only on the height of the stacks to determine who rebounded better. The reality: Michigan got more chances not because they rebounded better, but because they had more misses — and you have to miss to get a second chance. The height of the stacks just showed that Michigan got more offensive rebounds, even though their rebounding rate was terrible.
So, round two. Here’s the Michigan-Indiana Game Stack redesigned to capture rebounding:
Without play by play data, I had to keep the rebounding simple — I figured out the offensive rebound rate for each team:
Off reb rate = your off rebs/(their def rebs + your off rebs).
Then, I multiplied this rate by the relevant number of shots to generate the “Missed (O Reb)” category for each type of shot (the dashed regions). Each dashed/empty combo now visualizes the offensive rebound rate for the relevant team.
Now the picture is clearer:
- Michigan got a couple extra chances, but Continue reading