APBRmetrics

Good ideas. Some are easy and I can probably do pretty quickly. On positions - notice the order of this. I arrange the starters from PG to C, then the subs the same general way. I've never liked the way players are organized in a typical box. This gives implicit position information. Defensive stats...

One other thing not shown here. Under the GS column, I will put an "X" if a player played 50+% of their minutes in garbage time.

One of the things I've done for a while is build a more analytic boxscore. Basketball-reference has a nice analytical page for a game, as does Cleaning the Glass. I like each of them, but you have to scroll a lot and they almost have too much to be called a "boxscore". I really want one bo...

My method was simple. Make projection of a player's future and when we got them, did they get better than that projection? By how much? That is effectively what Berri was doing, but he also looked at when players left the team, which is more thorough. I did look at that from time to time, but I neve...

Berri's method is fully laid out and available. You can replace his player metric with whatever you like and run the analysis. It ain't easy, but not much is easy in evaluating coaches. Dean, is there a link to Berri's coaching stuff you might have on hand? I don't recall it, from back in the day, ...

Berri's method is fully laid out and available. You can replace his player metric with whatever you like and run the analysis. It ain't easy, but not much is easy in evaluating coaches. Or you can just listen to Berri's conclusion that coaches don't matter at all. Then you probably disagree with eve...

I don't think I ever estimated a total, but I'd guess in hindsight that he added 5-8 wins per season.

It was interesting making projections of players before we got them - either in the Draft or via other NBA teams - and seeing them exceed the projections.

I was dubious of it, as I said. Some of the estimates for Westbrook this year were in that 25+ wins added range. I toned it back to say that some methods were estimating 25 because I think it was actually higher, which was really wrong. BPM/VORP were the main ones too high and probably flawed by cro...

Where was that? I don't remember that.

What's remarkable to me is that David Berri's method for evaluating coaches was pretty good. But his conclusions from that were weak. What he did was to make a projection of player performance based on age, experience, etc. plus whether a certain coach was with them or not. That basic model is a goo...

Not really writing so much as keeping notes. I don't have the time to make the writing good or write about the things that require a lot of work. Wish I did. I wasn't sure I implemented B-R's VORP right. I may end up having to look at that again someday. There is a lot of uncertainty in player metri...

Actually, I look at a lot of player value metrics . I find it useful, even if I have a preference. So do you bother with RPM? Or do you stick to RAPM? Yes, you're right that the APM class can do a lot, but that model is more prone to very insignificant results than others because it is assuming cons...

Some things stabilize a lot quicker than APM. RPM is one, but boxscore metrics usually do, too. So you can use those other more stable metrics in smaller samples to make assessments. The inability to be able to split APM/RPM/etc into what happens in the 3rd quarter in the first 5 minutes - that limi...

Regarding whether sample size affects all metrics the same way... basketballstrategy‏ @bballstrategy 17h17 hours ago The sample size for boxscore, player-tracking or RAPM splits are identical. If sample size is too small for one, it is too small for all. This isn't true. The models of different play...

Wow. Tragic.

Good work in the restoration, Crow.