Getting paid $1mil plus year isn’t easy either. I bet I could find 6-7 players fit that system before I find $1mil dollar gig
Hahahaha! 10 points on that!!
Getting paid $1mil plus year isn’t easy either. I bet I could find 6-7 players fit that system before I find $1mil dollar gig
Attached are Evan Miya's ratings for last year's team. MAW and Mason are rated higher than Davenport because of JD's poor defense. Mikey gets an especially bad defensive rating. John Newman will instantly become our best player according to this metric. Last year he had a 34.1 overall BPR (-8.6 offense, 42.7 defense). The previous year he was 37.9 overall (1.5 offense, 36.3 defense).
I think BPR weighs team performance a little too heavily, but this could be a good tool for evaluating defense instead of relying on proxy stats like steal + block and foul rates. It incorporates individual stats, plus/minus, team efficiency, and leverage (stats when the game is a blowout don't count as much).
I am speaking of ACTUAL plus minus not algorithms. Vik was at the bottom. Kalu might be as well but I calculated actual plus minus every few games based on Go Bearcats gamebook which had the actual +/- numbers for every game. Algorithms are interesting but actual numbers are better.
That being said...Wes and company have evaluated all that stuff and game tape and synergy situations. Why bring him in if it did not look good or at least semi advantageous?
EvanMiya's +/- should be "actual". I have no reason to believe they are not. I don't see a season total on GoBearcats and they don't have Gamebooks for every game so it's impossible to do manually (unless you want to go through the play-by-play of every game). The "algorithm" should just be parsing play-by-play data.I don't know where to get ACTUAL plus minus for other teams but GoBearcats has it in the Gamebooks for every game if you want to investigate.
EvanMiya's +/- should be "actual". I have no reason to believe they are not. I don't see a season total on GoBearcats and they don't have Gamebooks for every game so it's impossible to do manually (unless you want to go through the play-by-play of every game). The "algorithm" should just be parsing play-by-play data.
Thanks for pointing the Gamebooks out though. There were two games I specifically remember DDJ being iso'd and us not doing anything about it - @Temple and USF. DDJ had +/- of -9 and -10 in those games, worst on the team. His defense as a SG is a serious concern for me. +/- can be useful if you have a specific case where an individual performance was notewrothy.
Here is just one example of a gamebook with actual plus minus but they were there for every game. And I do not think Evan Miya is actual.
https://gobearcats.com/documents/2021/11/13/UC_vs_Georgia_Book.PDF
Here is just one example of a gamebook with actual plus minus but they were there for every game. And I do not think Evan Miya is actual.
https://gobearcats.com/documents/2021/11/13/UC_vs_Georgia_Book.PDF
Sometimes you have to get creative to find the plus minus. At times it's listed under gamebook and others under recap or boxscore. But they were all available somewhere to find for every game
In certain instances I had to click on what looked like a recap of another game to find the box score for the game I was looking for. But I eventually found them all.
Thanks, this is an interesting resource I hadn't looked into before. I may have to total these for myself at some point. They even have +/- broken out by half. Against Tulsa, Saunders had a +/- of -14 in only 7 first half minutes
Thanks, this is an interesting resource I hadn't looked into before. I may have to total these for myself at some point. They even have +/- broken out by half. Against Tulsa, Saunders had a +/- of -14 in only 7 first half minutes