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beardsnotbombs
Posts: 9
Joined: Mon Dec 19, 2011 9:09 pm

Looking for Material on:

Post by beardsnotbombs »

Anyone familiar with material on whether/how much a player changing teams affects his statistical outputs? Specifically, discussion on the, "Player A and player B produce similarly, Player A's team is better than Player B's team, so if Player A was put on Player B's, he'd produce more" conversation that seems to pop up too often. I'd be obliged if you could point me in the right direction.
xkonk
Posts: 307
Joined: Fri Apr 15, 2011 12:37 am

Re: Looking for Material on:

Post by xkonk »

This might fall under the umbrella of diminishing returns if you want to search for it. The only specific numbers I've seen for an overall measure are in Stumbling on Wins, and you can see a chart version here: http://arturogalletti.wordpress.com/201 ... ing-teams/ .
Mike G
Posts: 6145
Joined: Fri Apr 15, 2011 12:02 am
Location: Asheville, NC

Re: Looking for Material on:

Post by Mike G »

Every year that I've done comprehensive lists of most improved players, the bottom of the list -- most dis-improved -- is disproportionately populated by players who have changed teams.
I count 98 players with new teams this year. Here are their unweighted average per36 rates, after adjustment to team rates.

Code: Select all

year   mpg    Eff%    Sco     Reb    Ast    PF    Stl    TO    Blk  e484
2011   19.6   .509   11.95   5.97   2.62   3.15   .97   1.74   .59   .59
2012   17.9   .492   11.62   5.68   2.40   3.30   .97   1.88   .58   .50

ratio   .91    .97     .97    .95    .91   1.05  1.00   1.09   .99   .84
These are mostly below-average players: avg eW/484 = 1.00
The net eWins for team-changers is -4.5 (relative to 2011), and for those who have stayed put, it's +14.4

It's even worse for above-avg players. Here's the same breakdown for those .90 (last year) or above:

Code: Select all

year   mpg    Eff%     Sco    Reb    Ast    PF     Stl    TO    Blk   e484
2011   28.6   .546   16.90   7.07   3.84   3.01   1.07   2.24   .62   1.24
2012   25.7   .500   14.51   6.41   3.25   3.02   1.02   2.12   .64    .90

ratio   .90    .91     .86    .91    .85   1.01    .95    .95  1.03    .73
Someone might remind me to do this again at the end of the year. Curious to see whether players tend to adjust eventually.
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