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Granderson and Sabermetrics.

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vwnut13

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Apr 19, 2009
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This story makes some really good points about Defensive Sabermetrics.

ItsAboutTheMoney said:
This afternoon Steve Berthiaume posted a column at SweetSpot central alleging that “Curtis Granderson‘s defense hurts his MVP case.” Berthiaume’s case, which he very explicitly describes as “a test case both for the perceived value of defensive metrics around baseball and the overall value of defense to MVP voters,” is not designed to degrade Granderson, but falls into an ongoing discussion about how sabremetrics may improve or pervert the awards voting process. Just a day earlier, Eric Karabell and Keith Law debated the relative merits of Troy Tulowitzki and Justin Upton, leaning heavily on their Wins Above Replacement, a statistic which takes into consideration both defense and position scarcity.

One completely valid reaction to such debates is, naturally, “Who cares about the MVP award?” But whether you put any stock in the BBWAA awards or not, there are aspects of this discussion worth considering. For starters, how good is Curtis Granderson, really?

The metric Berthiaume uses is Defensive Runs Saved (DRS), but he could’ve made the same argument with Ultimate Zone Rating (UZR), Relative Zone Rating (RZR), Range Factor (RF), or Fielding Runs Above Replacement (fRAR). Among centerfielders, Granderson is at or near the bottom in all the above metrics in 2011. However, this is the first time in three years the metrics have been anywhere close to united in their evaluation. In 2009, Granderson’s last season as a Tiger, he ranked 2nd in Defensive Runs Saved (+14), but middle-of-the-pack in all the other metrics. In his first year in New York, the evaluations were even more diverse:

DRS: +4 (12th), UZR:+6.4 (4th), RZR: .909 (12th), RF: 2.58 (15th), fRAR: -1 (11th)

It’s worth pointing out here that UZR, which most optimistically rates Granderson’s 2010 defense, is factored into FanGraphs WAR, while his more humble score in fRAR effects Baseball Reference’s WAR calculations. Thus, FanGraph’s WAR for Granderson is a full win better than Baseball Reference’s (3.6 to 2.5). The picture grows even more complicated when you go back to 2008, which FanGraphs suggests is Granderson’s worst defensive season ever (-11.1 UZR), while Baseball Reference thinks it’s his best (+6 fRAR). Meanwhile, another popular metric, Total Zone (TZL), puts it somewhere between (+1.3).

Seriously?!?

The creators of all the above statistics would be united in this chorus: “Beware of sample size.” The stats which Berthiaume cites take into consideration only four months of data, while many find comprehensive defensive metrics to be unreliable even for entire 162-game seasons. John Dewan, creator of the Fielding Bible and his own Plus/Minus system for evaluating fielding, doesn’t use anything less than three-season samples (in the last Fielding Bible, which rated the ’06-’08 campaigns, Granderson ranked a respectable eighth among MLB center-fielders at +20). But, if we take Granderson’s data from 2008 to the present, we only get a slightly more even picture of his defensive value:

DRS: -2 (9th), UZR: -14.0 (11th), RZR: .916 (10th), fRAR: +2 (8th), TZL: 4.2 (3rd)

TZL, arguably the most evolved metric (or, perhaps merely the hottest because it is the newest, sabremetricians being as fashion-conscious as the rest of us), remains a serious outlier. But it is also the only of these metrics which does not account for the 2011 season, yet.

The sample size problem is further exasperated by the fact that Yankees pitchers aren’t creating flyballs at a particularly high rate (which is, of course, a good thing). New York’s 35.3% flyball rate ranks 24th in the majors. Because many defensive metrics assume a relatively consistent rate of opportunities, players that get more opportunities over shortened intervals can see their stats inflated, or vice versa. It seems relevant to point out that the #1 team in the AL in flyball rate (Boston) is also the #1 team in outfield UZR. The same is true in the NL (Arizona).

Unfortunately, sample sizes aren’t even the last of our problems. Berthiaume points out that Brett Gardner and Nick Swisher are both having excellent defensive seasons according to DRS (as well as dRAR and UZR) playing on either side of Granderson. What he doesn’t acknowledge is that there is considerable evidence that good outfielders can effect each other’s statistical performances adversely. It’s pretty easy to understand how. If you have two rangy outfielders like Granderson and Gardner, they are occasionally going to be chasing the same balls in the outfield gaps. Both cannot get credit for the putout, even if both could have made the catch. Moreover, acknowledging this, the Yankees will more frequently position their outfielders against the logic of the “typical zone” which is used to calculate many of these metrics. For instance, shading Granderson strongly to right-field, which means 1.) Gardner covers portions of left-center which the center-fielder might normally take responsibility for and 2.) Swisher has more luxury to guard the line and/or play shallower or deeper than he otherwise might, thus allowing him to make plays he would not have if, say, Alexis Rios were his centerfielder. This could also limit Granderson’s opportunities compared to average positioning, making it appear as though his range is shrinking, even if he is merely leaving more plays to his teammates.

The converse can also be true. In 2007, for instance, Granderson posted career highs in DRS and UZR, trailing only Coco Crisp and Andruw Jones among MLB center-fielders. Certainly, it is possible that 26-year-old Grandy was a step or two faster than 30-year-old Grandy. But, he was also flanked on both sides by rickety future DHs like Magglio Ordonez, Gary Sheffield, Craig Monroe, and Marcus Thames. One can probably assume that Granderson didn’t have to worry about “calling them off” quite as often as he does the fleet-footed Gardner.

Although most defensive metrics are “park-adjusted,” weighted to account for environments, there is considerable circumstantial evidence that the park factors used for these calculations are still seriously imperfect, especially for outfielders. The most obvious problem is Fenway Park’s strange dimensions. Consider this: since 2008, J. D. Drew ranks 2nd among outfielders in UZR, suggesting he’s better than Ichiro, but close to the bottom in DRS, suggesting he’s as bad as Corey Hart. Jacoby Ellsbury has also suffered from seriously fluctuating defensive performances, while Carl Crawford, in his first year with the Red Sox has gone from outfield divinity (the top UZR in all of baseball, at any position, from ’08 to ’10) to Jason Bay -level mediocrity.

We can’t glean much from three years of data for Yankee Stadium, the dimensions of which would not seem to be all that extraordinary, but it’s worth pointing out that since 2009, Yankees outfielders have frequently landed at the extremities of the fielding scales. Gardner’s 36.8 UZR/150 is double that of the next most productive left-fielder over that time (Crawford). Swisher’s defensive performance went through the roof upon arriving in New York, while Melky Cabrera has been unable to achieve anything remotely resembling his defensive value with the Yankees since moving to other ballparks.

All of this leads me to believe that outfield metrics must be taken with a grain of salt, especially for single seasons, and especially when those seasonal fluctuations aren’t confirmed by scouting reports. Most evidence, including such observations, would seem to suggest Curtis Granderson is neither a superlative center-fielder, nor a particularly weak one. To return to Berthaiume’s argument, it strikes me that the evidence suggesting Granderson does his team a disservice defensively is circumspect, while there is no denying he has been outstanding offensively, and from a position not renowned for offense. Granderson leads all AL centerfielders in wOBA and wRC+, as well as the traditional HR and RBI. Getting that type of production from an “up the middle” player is increasingly rare in this new era of focus on pitching and defense. Granderson would need to give up a whole lot of runs with his glove in order to even begin to offset what he does with his bat and his wheels.

UPDATE: Shortly after posting I went for a swim and listened to a Baseball Today interview with Baseball Reference founder, Sean Forman, who, among other things, compares the methods used to calculate WAR on his site to those used by FanGraphs. I was, apparently, incorrect in suggesting that BB-Ref. uses fRAR for WAR (although you can find it on their site). They now use a version of Total Zone (although a different version of Total Zone from that provided by FanGraphs). Ergh! Anyway, it doesn’t change the gist of the post in any way, but I wanted to make the correction and point out the interview for those who are curious.

http://itsaboutthemoney.net/archives/20 ... remetrics/
 

fengzhang

New member
Aug 10, 2008
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Chicago, IL
Among centerfielders, Granderson is at or near the bottom in all the above metrics in 2011.

So, if we managed to get these hard-to-agree defensive sabermetrics to agree, that should tell you something. If anything, it just makes the case even stronger that Granderson unequivocally has been a poor defender this year.
 

vwnut13

Active member
Apr 19, 2009
8,004
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Vermont
Actually, the point of the article was that because of small sample sizes and defensive shifts Defensive Sabermetrics are................................

As stated in the article, Gardner is able to get to balls that Granderson could catch.

Because Sabermetrics are blind, they see that Granderson didn't make the play on the ball that was in his "zone" and Gardner gets credit for making a play out of his "zone"

The same logic shows why Swisher is having a great "defensive sabermetric" year. Because of the ground that Gardner and Granderson can cover, Swisher has less ground to worry about.

Do you believe that Swisher is a great defender?
 

Hallsgator

New member
Aug 7, 2008
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Charleston, SC
It's pretty well known around sabermetric circles that the defensive metrics are a work in progress and it takes a while to get enough data for a large enough sample size.
 

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