This is Google's cache of viewtopic.php?p=27491&sid=983a5409095b8adcac38d29ea8281d61. It is a snapshot of the page as it appeared on Mar 25, 2011 00:16:11 GMT. The current page could have changed in the meantime. Learn more

Text-only version
These search terms are highlighted: ilardi adjusted plus minus  
APBRmetrics :: View topic - Adjusted Plus-Minus: Six-Season Averages
APBRmetrics Forum Index APBRmetrics
The statistical revolution will not be televised.
 
 FAQFAQ   SearchSearch   MemberlistMemberlist   UsergroupsUsergroups   RegisterRegister 
 ProfileProfile   Log in to check your private messagesLog in to check your private messages   Log inLog in 

Adjusted Plus-Minus: Six-Season Averages
Goto page Previous  1, 2, 3  Next
 
Post new topic   Reply to topic    APBRmetrics Forum Index -> General discussion
View previous topic :: View next topic  
Author Message
Crow



Joined: 20 Jan 2009
Posts: 806

PostPosted: Mon Aug 10, 2009 5:47 pm    Post subject: Reply with quote

Bob, right or wrong defensive adjusted has Miller as the 14th best defensive impact player on adjusted over the 6 year period for big minute guys and in strong contrast to some other main Kings. Hawes and Salmons in the bottom 20 for the group. Kevin Martin in the under 2000 minute group but 10th worst overall. Nocioni at almost -3 is a wash with Salmons.

Last edited by Crow on Mon Aug 10, 2009 6:26 pm; edited 1 time in total
Back to top
View user's profile Send private message
Ilardi



Joined: 15 May 2008
Posts: 263
Location: Lawrence, KS

PostPosted: Mon Aug 10, 2009 6:07 pm    Post subject: Reply with quote

DSMok1 wrote:
DLew wrote:
DSMok1,

I don't believe Steve used any box score statistics to generate these rankings, so the explanation for post players' superior defensive ratings must lie elsewhere...


See: viewtopic.php?t=2295

I think he is.


DSMok1,

Actually, DLew is correct: the ratings I posted are based only on raw lineup data (i.e., they're "pure" adjusted plus-minus). I inquired about statistical plus-minus on a separate thread because I'm interested in looking at how it might be used to bring the s.e. terms down even further, but I've never done any modeling with statistical plus-minus to date . . .

Sorry for the confusion!
Back to top
View user's profile Send private message
battaile



Joined: 27 Jul 2009
Posts: 38

PostPosted: Mon Aug 10, 2009 6:59 pm    Post subject: Reply with quote

edit: never mind, realized my comment makes no sense given how these ratings were calculated

Last edited by battaile on Mon Aug 10, 2009 9:47 pm; edited 1 time in total
Back to top
View user's profile Send private message Visit poster's website
DSMok1



Joined: 05 Aug 2009
Posts: 602
Location: Where the wind comes sweeping down the plains

PostPosted: Mon Aug 10, 2009 8:20 pm    Post subject: Reply with quote

Ilardi wrote:

DSMok1,

Actually, DLew is correct: the ratings I posted are based only on raw lineup data (i.e., they're "pure" adjusted plus-minus). I inquired about statistical plus-minus on a separate thread because I'm interested in looking at how it might be used to bring the s.e. terms down even further, but I've never done any modeling with statistical plus-minus to date . . .

Sorry for the confusion!


Ah! My error.

Perhaps, then, there really is that big a difference between the best bigs and the secondary tier of them--perhaps the fact that there is a more limited pool of good bigs yields this effect. Interesting indeed!
Back to top
View user's profile Send private message Send e-mail Visit poster's website
Crow



Joined: 20 Jan 2009
Posts: 806

PostPosted: Mon Aug 10, 2009 9:41 pm    Post subject: Reply with quote

I merged a demographic file with Steve's dataset and for 335 players found the following

(using a crude age determination since I lost the month and didn't want to recreate):

removed

to be replaced below


Last edited by Crow on Tue Aug 11, 2009 2:51 am; edited 4 times in total
Back to top
View user's profile Send private message
Ilardi



Joined: 15 May 2008
Posts: 263
Location: Lawrence, KS

PostPosted: Mon Aug 10, 2009 10:01 pm    Post subject: Reply with quote

That's really interesting stuff, Crow. It's surprising to see APM peak in the 33-35 age window, since I recall an analysis by Ed Kupfer a while back that showed peak productivity on most boxscore metrics somewhere around age 27.
Back to top
View user's profile Send private message
Crow



Joined: 20 Jan 2009
Posts: 806

PostPosted: Mon Aug 10, 2009 10:09 pm    Post subject: Reply with quote

I wanted to see what it would show.

Last edited by Crow on Tue Aug 11, 2009 2:52 am; edited 3 times in total
Back to top
View user's profile Send private message
DLew



Joined: 13 Nov 2006
Posts: 224

PostPosted: Mon Aug 10, 2009 10:43 pm    Post subject: Reply with quote

It's worth noting that because of selection bias it is possible that the peak age for any given player is 27, while the age with the highest average APM is 35.
Back to top
View user's profile Send private message
Crow



Joined: 20 Jan 2009
Posts: 806

PostPosted: Mon Aug 10, 2009 11:34 pm    Post subject: Reply with quote

I was going to mention selection bias explicitly but instead I shifted a bit and just hinted at it by using the word "remaining".

A quick check of most contenders last season showed at least 2 30-something starters.

Except for slight misses by 2 of the championship versions of the Pistons that has been the case also for 20+ years of title winners.

Which contenders for the next title lack this?

Cavs is close if Moon starts but might miss officially unless Parker starts. Or they go big in the playoffs.

Joe Johnson is getting close to being the 2nd but isn't yet. Utah doesn't fit the pattern either but they have several close. Miami is close but doesn't have 2 fully 30 either. Miller would do it for Portland (assuming Joel P still starts) but Blake is close anyways.
Back to top
View user's profile Send private message
Kevin Pelton
Site Admin


Joined: 30 Dec 2004
Posts: 978
Location: Seattle

PostPosted: Tue Aug 11, 2009 12:57 am    Post subject: Reply with quote

Correct me if I'm misunderstanding, but wouldn't the bigger factor here simply be that if we're looking at the entire six-year sample we're including many prime years of the 30-plus players and many development years of the players currently in their prime?
Back to top
View user's profile Send private message Send e-mail Visit poster's website
BobboFitos



Joined: 21 Feb 2009
Posts: 193
Location: Cambridge, MA

PostPosted: Tue Aug 11, 2009 1:00 am    Post subject: Reply with quote

Kevin Pelton wrote:
Correct me if I'm misunderstanding, but wouldn't the bigger factor here simply be that if we're looking at the entire six-year sample we're including many prime years of the 30-plus players and many development years of the players currently in their prime?


this was my thought as well

it would be more helpful to compare player x with his respective 23 yr season to 24 yr season and so on
_________________
-Rob
Back to top
View user's profile Send private message AIM Address
Crow



Joined: 20 Jan 2009
Posts: 806

PostPosted: Tue Aug 11, 2009 1:19 am    Post subject: Reply with quote

Very good point.
I slept on that factor.
It would be better to use another flavor of adjusted. 2 year or the 6 year that is largely the most recent year.


Last edited by Crow on Tue Aug 11, 2009 2:53 am; edited 1 time in total
Back to top
View user's profile Send private message
Kevin Pelton
Site Admin


Joined: 30 Dec 2004
Posts: 978
Location: Seattle

PostPosted: Tue Aug 11, 2009 1:33 am    Post subject: Reply with quote

I do suspect, given some of DanR's early findings, that adjusted plus-minus will show a slightly older peak age than boxscore stats.
Back to top
View user's profile Send private message Send e-mail Visit poster's website
Crow



Joined: 20 Jan 2009
Posts: 806

PostPosted: Tue Aug 11, 2009 2:15 am    Post subject: Reply with quote

Using the 6 year adjusted that is mostly this past season

Age Off Def Total+/-

<23 -1.37 -0.68 -2.05
24-26 0.18 0.20 0.38
27-29 -0.01 -0.11 -0.11
30-32 0.56 -0.09 0.47
33-35 0.42 0.29 0.71
>36 0.49 0.56 1.04


Things are flatter, except for the 23 & under, with the mid and late 20 somethings doing better than the first dataset. But the remaining 30 somethings are better on offense on average and those are still around 33 & beyond are better on defense on average too.


The 6 year adjusted data input is largely the past season but the earlier seasons have some (distorting? from an age perspective) effect.

This may not be the ideal approach but it is what I could easily assemble.

Sorry for the problem with the earlier results.
Back to top
View user's profile Send private message
schtevie



Joined: 18 Apr 2005
Posts: 409

PostPosted: Tue Aug 11, 2009 9:45 am    Post subject: Reply with quote

Perhaps, the most striking fact leaping from these APM tables has not been remarked upon because the 6 year average essentially repackages what are familiar facts from previous APM estimates spanning shorter durations. But I think it is worth pausing to appreciating the basketball greatness that is Kevin Garnett.

Taking LeBron James off the list - a phenomenon in his own right, but one of a different generation - KG has been 75% better than the next best player who can be described as his contemporary. And that is Tim Duncan. Tim Duncan! 75%!

A moment of silence, please.
Back to top
View user's profile Send private message
Display posts from previous:   
Post new topic   Reply to topic    APBRmetrics Forum Index -> General discussion All times are GMT - 5 Hours
Goto page Previous  1, 2, 3  Next
Page 2 of 3

 
Jump to:  
You cannot post new topics in this forum
You cannot reply to topics in this forum
You cannot edit your posts in this forum
You cannot delete your posts in this forum
You cannot vote in polls in this forum


Powered by phpBB © 2001, 2005 phpBB Group