spikeslovechild wrote:Sixerscan wrote:RPM is definitely the closest thing that we have right now to a good all encompassing statistic.
The fact that they keep the formula private is annoying, but the general consensus is that it is pretty similar to RAPM.
Win Shares, BPM ect are generally considered inferior.
I still think it overrates guys on good teams though.
Look I don't know the details of RPM but I do remember getting into similar arguments regarding baseball WAR more then a decade ago. I don't know if the formula is still done the same but it used to be that fangraphs WAR used xFIP while Bref focused on the pitchers ERA and for the hitters they used BABIP the problem is people where using the players WAR figure as evidence they should win awards.
So the questions sort of becomes should you give credit to the player for what did happen versus what should have happened. I always erred on what actually happened and honestly I don't even know how good of predictive formula RPM is there seems to be a fairly large variance of his RPM numbers that isn't caught up in the other stats and honestly looking at his raw numbers there doesn't seem a ton of improvement from 2015 to 2016. His shooting numbers improved slightly to .486 TS%. His AST% improved but his turnover rate spiked at pretty much the same rate which should be a negative.
His OWS stayed exactly the same and his OBPM was actually worse. So maybe one of you could explain how Smart improved his offense last year not slightly but from a net negative to a net positive because it makes zero sense.
Just because other stats are more consistent doesn't make them better. You ask any NBA front office which publicly available stat is the closest thing to the proprietary models that they use to evaluate guys, most of them will say RPM, a few may say BPM and no one will say win shares. It doesn't make it perfect or something you don't have to put into context.
RPM is a relatively complicated multifactor regression. You can't just say "oh it's because of this stat or that stat". It could be that the other point guards around him played worse (Reggie Jackson is a name that immediately jumps out to me). It could be because it values the increase in TS% and Assist rate more than you do. It could be because his teammates randomly played better with him on the court this year. It could be because Stevens had him stand in a different place on offense where teams had to pay more attention to him, opening the floor for other guys. It could be because his usage rate spiked so he gets more "credit" for being part of a top 10 offense. It could be a whole host of reasons. Reverse engineering what the exact reason sort of defeats the purpose of having the statistic.
You are way too hung up on the raw number for his RPM, whether its negative or positive ect. It's a relative number. It doesn't matter whether his number is -20 or 0 or 10,000, if there are 30 people ahead of him in ORPM then there are 30 people ahead of him. And whether he was 30th in ORPM among PGs the way he was this year, or 46th the way he was the year before, either way he is bad on that end, especially for a guy on a good team. But probably he's not quite as destructive to a team's offense as you may think, which makes sense given that the team's production didn't completely fall off a cliff with him in the game.
As far as "predictive value" goes, I can't sit here and tell you "Oh I expect Smart to have a -0.21 RPM this year". But I'm sure there is a certain range that someone with more time/interest could predict with 95% confidence, and I will say I am guessing he will somewhere between the 20th and 40th point guard.
Definitely ahead of Randle, to bring it full circle.