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Yer thats what i tend to do as well. Player X's average fouls over last season.

Ive decided that im going to do the analysis for players who play Centre/Power Forward. Ive just been thinking about it, and, maybe guards wasnt the best way to start. Maybe guards are a much more complex natured fouling position.

But maybe Centre/Forward is more simple? I dunno. I will do it for my own curiosity really, because I have two PF's who fouls a lot, a backup C who fouls a lot, but another C who hardly ever fouls at all. I just thought of it watching a recent game of mine. So yer, ill only do a smlal pool, maybe 25 players, just to get an indication. Shouldnt take long. But ill Use Shot blocking and ID instead of OD and H.

Ok so i quickly did some analysis of C/PF's. no luck. No correlation between ID/SB and fouls per 48 mins.

I started to look at my own players, as mentioned before. Ive got this C, whom has been my backup C for a few seasons now. Last season i trained a PF, who played at C most of the time, so my normal backup C got pushed to PF, OR, didnt play along side this new trainee.

anyways, ive noticed that my backup C's fouls per 48 has gone from like, 6.5 a few seasons ago, to nearly half that for this season.

This guy is 27, hasnt received any training this season or last season, yet there is a dramitic difference in his FP48.

I know its only one example, but I truely feel, that, because he is playing alongside weaker players now, he is no longer the 'weakest defensive link', whereas before, when he was backup, he invariably was. Like with offence, no matter what tactic you use, the game engine will favour the player best suited to make a shot ....... and perhaps part of this is to target the weakest defensive player, and as such, he fouls more?

anyways, statistically, I couldnt find any link between nromal skillset and fouls. . Maybe there is some aggression factor that is in the game. Who knows.

I decided to introduce a randomized 'Aggression' number, for each player, value 1-5. totally random, but equal distribution.

Random Aggression value correlated with FP48 +0.16
well at least i got a positive correlation!

I gave my aggression statistic more of a bell-curve distribution (that is, more players have an 'average' aggression level, and less players have the extreme's) - I also increased this value distibution to match BB stat ranges 0 -20.
Doing this, i increased the correlation to about 0.25,

I don't see the point in this. obviously a totaly random value can't correlate with anything. You could have called that random skill fluffy candiness and still would have gotten the same result. You obtaining a non zero value is due to your small sample size.
But good job on the rest though. There really doesn't seem to be a big effect of any of the visible skills.

I took a guess with regards to the agressiveness, thinking that it would be a bell-curve distribution. Logically, I thought that BB wouldnt assign 50% of the players with a high aggressiveness, rather i guessed that Most players would have normal aggression, with the remainder of players either being less-aggressive, or more aggressive (hence bell curve)

And yes your right, randomly assigning it meant it could be called any kind of stat. Using the radom aggression assignment I was able to highlight that, even a ranomly asigned number has more correlation than the visible skills. Thus proving the argument a little bitmore, that being that OD and H have no correlation. ( I could have used anything here really, Height, hair colour, team uniform snazziness rating. )

Yer 50 players wasnt exactly ideal, but it was enough to give an indication of whether further data collection was warranted. Which, IMO, is not. :)
Thanks for the feedback.