The City 2011 MVP

Run away! Run away!

Get your pitchforks and molotov cocktails ready...it's not Derrick Rose.

Every NBA blog has an MVP post. This is mine. What I'm doing to select MVP is first blending ezPM and 1-yr RAPM (these are ridge-regressed adjusted +/- data that are calculated by Jeremias Engelmann). To do the blend, I regressed ezPM onto 1-yr RAPM weighted by possessions. Here are the results:

Call:
lm(formula = EZPM ~ RAPM, data = ezpm_rapm_2011, weights = POSS)

Residuals:
    Min      1Q  Median      3Q     Max
-438.82  -85.59   -8.76   62.90  475.10 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.19937    0.12069  -1.652   0.0993 .
RAPM         0.90195    0.06381  14.135   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 120.4 on 402 degrees of freedom
Multiple R-squared: 0.332,	Adjusted R-squared: 0.3303
F-statistic: 199.8 on 1 and 402 DF,  p-value: < 2.2e-16

Notice that the R^2 value is 0.33, which is actually quite high in my opinion. You may recall that when I regressed several years of ezPM and RAPM, the R^2 was around 0.5. At the same time, it shows that a box score and +/- approach used separately may give very different results. In fact, let me show you the top 5 candidates for each metric taken alone:

ezpm

(WARP = Wins above replacement player)

RANK NAME TEAM WARP
1 LeBron James MIA 20.6
2 Dwight Howard ORL 20.3
3 Dwyane Wade MIA 16.8
4 Kevin Love MIN 15.9
5 Chris Paul NOH 15.5

1-yr RAPM

RANK NAME TEAM WARP
1 Manu Ginobili SAS 13.5
2 Paul Pierce BOS 13.1
3 Dirk Nowitzki DAL 13.0
4 LeBron James MIA 12.8
5 Chris Bosh MIA 12.5

You can see that aside from James, the lists are quite different. Ok, so back to the blending. I used the  results of the regression to adjust RAPM so that it is on the same scale as ezPM. They were already pretty close to start, as you can see by the regression coefficient (0.9). I then weighted each equally and calculated WARP. Here are the top 25:

2011 Blended EZPM+RAPM

RANK NAME TEAM POS WARP EZPM RAPM COMP
1 LeBron James MIA 3.5 16.2 8.4 3.9 5.8
2 Dwight Howard ORL 5 15.8 9.1 4.1 6.3
3 Dwyane Wade MIA 2 13.6 7.0 3.5 5.0
4 Chris Paul NOH 1 13.4 6.3 4.3 5.0
5 Manu Ginobili SAS 2.5 12.8 5.7 5.8 5.4
6 Paul Pierce BOS 3 12.6 5.0 4.9 4.6
7 Pau Gasol LAL 4.5 12.1 4.6 3.5 3.8
8 LaMarcus Aldridge POR 4 10.8 2.9 3.2 2.8
9 Steve Nash PHX 1 10.7 4.8 3.6 3.9
10 Kobe Bryant LAL 2 10.6 5.7 1.7 3.5
11 Luol Deng CHI 3 10.6 2.2 3.7 2.6
12 Kevin Love MIN 4.5 10.6 6.3 -0.1 3.0
13 Chris Bosh MIA 4.5 10.4 2.5 4.4 3.1
14 Zach Randolph MEM 4 10.3 4.7 2.2 3.2
15 Kevin Durant OKC 3 10.3 2.8 2.6 2.5
16 Derrick Rose CHI 1 10.0 2.9 2.8 2.6
17 Dirk Nowitzki DAL 4.02 9.7 1.9 5.8 3.5
18 Blake Griffin LAC 4 9.5 2.9 1.2 1.9
19 Andre Iguodala PHI 2.5 9.4 5.3 1.4 3.2
20 Kyle Lowry HOU 1.02 9.2 2.0 3.4 2.4
21 Nene Hilario DEN 4.51 9.1 3.2 4.0 3.3
22 Lamar Odom LAL 4 8.8 3.3 2.4 2.6
23 Tim Duncan SAS 4.5 8.8 4.1 3.4 3.5
24 Al Horford ATL 4.5 8.7 3.7 1.2 2.3
25 Andre Miller POR 1.02 8.7 2.9 2.9 2.7

I'm going to do something unorthodox and call it a tie:

2011 Co-MVPs: LeBron James & Dwight Howard

Apologies to Derrick Rose fans. He's a great player and a great narrative. But I just don't see how the numbers can justify it this season.

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Well I guess I have discussed the value of stats a fair amount and tried to lay out a rationale for their value. But I'm unlikely to continue to do so as much and it doesn't bother me that much if some or many "true sports types of sports fandom" disagree.

I have a different view of what you think of as "misguided anti-sports type of sports fandom". I have no interest in arguing about it or persuading you though. I just have my view and you have yours. Active stat analysis is an aid to understanding, "winning" and enjoyment to me. Not the whole story, but an effective aid.

Thank God you stat freaks don't determine who wins, and it's up to people who remember it's an actual game that is played in real life and not just in a computer. Basketball isn't baseball, and doesnt lend itself near as much to this misguided anti-sports type of sports fandom.

T Parker, G Wallace, Brand, Boozer, Granger.

Who are the somewhat notable absences? Anthony, Stoudemire, Ellis, Westbrook, Kevin Martin, D Williams, Bogut, D Lee, Garnett, J Smith, J Johnson, Gay and Rondo and perhaps others.

Howard is the only guy on the list labeled a pure 5. James the only 3.5 (SF-PF). Wade arguable a 1-2. Paul perhaps the purest PG. They dominated from the 2 extremes- pure 1 and pure 5- and 2 of the 3 position straddles- 1-2 and 3-4. And Ginobili in 5th was the king of the 2-3 straddle. Is that the way to win a analytic based MVP? Be the best of an extreme position or the best of a position straddle? There is a certain logic to that. Interesting to think about that in a way broader than the MVP race as well.

Your list has the same top 2 and top 4 as I found earlier with a weighted 6 metric blend. A tie is an acceptable choice to me. For the guys on the list, wings had an average advantage of about 1.5 over PGs on EZPM but were essentially equal to PGs on RAPM. Wings had an average advantage of about 1.2 over Bigs on EZPM but somewhat surprisingly a 0.5 advantage on RAPM. Wings had a 0.7 advantage on both PGs and Bigs on the EZPM-RAPM composite? (last column).

"Is it behind the rabbit?" "No, it is the rabbit." Great pic. Interesting results, if not obviously controversial. The one thing I'm taking away, again, is how easy it is to see the individual components of a duo still have more value than most/all other people. James can still be MVP with Wade, and Wade can be the second most valuable guy on his team and in the league as well. Not saying that's how I feel this year, but people have a real hard time conceptualizing that, and it's really not hard (MJ and Pippen had something to do that degree, as well a Kobe and Shaq).

I'm taking it a step further - my 2011 CO-MVP:s is Bron, Dirk, Rose, Amir and Howard!

Trackbacks

  1. [...] not sure what it’s supposed to be really. My first thought was to look at the WARP (after blending ezPM and 1-yr RAPM as I did previously for the MVP race) of all players who had below average number of GS, which turned out to be 28. If [...]

  2. [...] the other awards that I’ve done so far (MVP, DPOY, and 6th Man), I’ve blended ezPM and 1-yr RAPM, but I’m going to do it a little [...]

  3. [...] for my previous award posts (MVP, DPOY, 6th Man, and MIP), I blended ezPM and 1-yr RAPM data and used that blend to calculated WARP [...]