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NBA-driven regressions for a bunch of constants. Using 2019 (auto?) and 2020 (alexnoob?) rosters. Aligned real players with ratings. Filter below 1500 minutes. Linear regression to the correct ratingsArray power (e.g. 1.5 for USG%, 4 for REB, 10 for Passing). Used per100 numbers like FGA+0.44*FTA for USG%, FTr for drawingFouls, etc.
I'm not sure if make sense. It is minor. but it plays fine and thought I'd make a PR to track/remind you that this is a potential path.