This post is for Ottoneu Basketball Categories leagues.
I just spent a little time this evening assembling weekly team totals across all six categories leagues that I could find (leagues 1, 21, 23, 24, 26, 34). There were 72 matchups, including (2) 4-4 ties.
Here are some summary statistics (I excluded one team who didn’t set a lineup in Week 1 and wound up with 0’s for everything):
And here are some summary statistics for teams who recorded wins:
And here is a correlation matrix that shows the relationship between the categories:
It’s a small dataset, so there’s limited amount of what can be done with it until we get some more weeks worth of data. But I’m going to be playing around with it some and see if there are any insights to discover. For example, I find that BLK, FG%, and FTM are the strongest predictors (i.e., only statistically significant) of likelihood of winning. PTS and STL are the weakest. This is based on a multivariate probit regression with week fixed effects.
Happy for any suggestions for additional analyses to run with these data.