Baseball Musings
Baseball Musings
February 09, 2005
Probabilistic Model of Range, Leftfielders

Without further ado, the range rankings for leftfielders.

Probabilistic Model of Range, Leftfielders 2004, 1000 balls in play.
PlayerInPlayActual OutsPredicted OutsDERPredicted DERDifference
Aaron Guiel101283 73.18 0.082 0.072 0.00971
Carl Crawford3170273 246.74 0.086 0.078 0.00828
Charles W Thomas1710133 119.60 0.078 0.070 0.00783
Reed Johnson141298 92.77 0.069 0.066 0.00371
David Dellucci2077152 144.33 0.073 0.069 0.00369
Terrmel Sledge1767133 126.73 0.075 0.072 0.00355
Kevin Mench112073 69.64 0.065 0.062 0.00300
Carlos Lee3902283 273.04 0.073 0.070 0.00255
Eric Byrnes2676172 166.39 0.064 0.062 0.00209
Craig Monroe1369102 99.95 0.075 0.073 0.00150
Jayson Werth1592115 112.70 0.072 0.071 0.00144
Hideki Matsui4326303 302.47 0.070 0.070 0.00012
Brad Wilkerson130094 94.05 0.072 0.072 -0.00004
Jay Bay2930206 206.55 0.070 0.070 -0.00019
Dave Roberts129887 87.57 0.067 0.067 -0.00044
Barry Bonds3498214 215.76 0.061 0.062 -0.00050
Moises Alou3746239 241.33 0.064 0.064 -0.00062
Jose Guillen3464264 266.40 0.076 0.077 -0.00069
Luis Gonzalez2748162 163.92 0.059 0.060 -0.00070
Dee Brown141393 94.28 0.066 0.067 -0.00091
Ray Lankford117582 83.16 0.070 0.071 -0.00099
Cliff Floyd2759164 167.47 0.059 0.061 -0.00126
Raul Ibanez2920227 230.68 0.078 0.079 -0.00126
Larry Bigbie2793214 217.89 0.077 0.078 -0.00139
Manny Ramirez3293198 204.49 0.060 0.062 -0.00197
Miguel Cabrera146492 95.01 0.063 0.065 -0.00206
Jeff Conine2139175 180.21 0.082 0.084 -0.00244
Geoff Jenkins4131261 273.14 0.063 0.066 -0.00294
Lew Ford2074149 156.19 0.072 0.075 -0.00347
Matt Lawton3291231 242.50 0.070 0.074 -0.00350
Adam Dunn4196250 266.18 0.060 0.063 -0.00386
Bobby Kielty110571 75.62 0.064 0.068 -0.00418
Pat Burrell3261216 231.22 0.066 0.071 -0.00467
Rondell White1917126 136.17 0.066 0.071 -0.00530
Lance Berkman174193 102.23 0.053 0.059 -0.00530
Eric Young101958 63.55 0.057 0.062 -0.00545
Craig Biggio1902116 126.52 0.061 0.067 -0.00553
Matt T Holliday2963176 193.05 0.059 0.065 -0.00575
Eli Marrero115780 87.90 0.069 0.076 -0.00682
Shannon Stewart1937103 119.94 0.053 0.062 -0.00874
Ryan Klesko2237134 155.40 0.060 0.069 -0.00957

Our eyes often deceive us when it comes to defense, but not in the case of Ryan Klesko. He's just as brutal as he looks. It's also interesting to note that some of the older players (Bonds, Alou, Luis Gonzalez) are right where they should be, getting the balls at the expected rate. Sig Mejdal wrote the injury prediction section of The Bill James Handbook 2005 and one thing he's looking at is how aging and experience effect skills in the game. For example, he's found that the physical process of aging hurts HR production, but experience helps HR production. I'm wondering if that is going on here; these left fielders have so much experience in the outfield that they can make up for their old legs with positioning.


Posted by David Pinto at 10:17 AM | Defense | TrackBack (0)
Comments

As a Tigers fan, I find it interesting that Rondell White is so low on your list, yet he had the highest zone rating of all left fielders (.925). Would this suggest that the zones used for ZR are too small, for what average LFs should be actually responsible for?

Posted by: Darren at February 9, 2005 11:27 AM

A big thanks to David for making excellent use of very granular data, and, more importantly, for sharing the results with us!

Ideally, we would all quit our jobs, and spend 14 hours a day poring through this, and we'd have the answers we are all searching for in 2 months.

Posted by: tangotiger at February 9, 2005 01:48 PM

Pretty high rate for Byrne, which conflicts with his reputation. Think Beane already knew this about Charles Thomas, though?

Posted by: Crank at February 9, 2005 04:27 PM

I would bet that Beane's definitely knew, and that his scouting reports also would have said the same thing.

Posted by: tangotiger at February 9, 2005 05:26 PM

It interests me that people would think Thomas was a surprise-- anyone who watched Braves games surely knew he'd be way up at the top-- there were folks who actually claimed that Andruw was the worst of the Atlanta outfielders, tho' I wasn't one of them. I also had no idea Byrne had a bad rep-- he looked quite good the couple of times I saw him... overall this matches pretty closely the ranking I'd have given them off the top of my head leaving out a few people I've never seen like Johnson and Mensch...

Posted by: john swinney at February 10, 2005 12:37 AM

Once again, the problem of comparing a fielder to himself shows up. There is no way Ramirez or Bonds is as good a fielder as a guy like Ichiro. But because they're being compare to themselves, they end up looking good. In fact, here is a simple exercise I woud love for you to undertake: show the numbers for various positions played fielders that are known to be very good/bad play, i.e. left field in Fenway Park or RF in Safeco. You would expect the numbers to be within +/- 5 runs (or in other words, to average out). Instead, I'll bet you'll find that LF in Fenway is extremely positive and RF in Safeco is very negative. Another way to check this would be to post the home/road splits for these types of players. I bet Ramirez is much worse on the road than at home and that Ichiro is much better on the road.

***

BTW, since my first explanation of why you need to remove all home players when finding the baseline against which to compare sucked, let me take another crack at it:

Let's say Seattle has two RF, Ichiro Suzuki and Manny Ramirez, who split time evenly but only play at home. By a freak of nature, they have the same number of BIP in each slice, and the same exact number of L/R on the mound, etc. Essentially, they should have the exact same expected DER.

However, when you are measuring Ichiro's expected DER, and remove him, you'll find an xDER of, say .67 because 2/3 of the xDER comes from opposing fielders (.70) and 1/3 (because Ramirez only plays half the games) comes from Ramirez (.60). But when you go to find Ramirez's xDER, you get .72 because 2/3 comes from opposing fielders (again, .70) and 1/3 comes from Ichiro! (.76). The difference in xDER is huge, even though we know that the two should have the same exact xDER. But if you remove all home fielders, both end up with an xDER of .70. Easy as pie, and completely correct. You MUST remove all home fielders before finding xDER.

Posted by: David at February 10, 2005 02:34 PM

So what you are saying David is that part of Charles Thomas surplus outs over prediction shows up because the prediction includes 29 games of indifferent-and-injured Chipper, while at the same time he's being predicted against his own 70 games which cuts him back some? That would skew almost every result both ways-- I guess the outcome wouldn't be random, but it would be pretty fuzzy...

Even if you take out home players, won't there still be some distortion from the unbalanced schedule? If Tree Stump Jones is playing more visiting games in Yankee Stadium for Baltimore than Deerfoot Smith does for Detroit won't that have the same effect to a lesser degree?

Posted by: john swinney at February 11, 2005 10:04 AM

That's a statistical risk you have to take (that the away fielders won't average out), but one that is much smaller and will skew the numbers much less than taking out only the home fielder you're measuring. Just read my example, it simply makes sense that Ramirez and Ichiro should have the same xDER and if they don't, the method is incorrect. Thus, taking out only the player you're measuring is incorrect. And we can already see that keeping the fielder in the sample really skews xDER. The only way that remains is to remove ALL home fielders when measuring xDER. I'm quite certain of this.

Posted by: David at February 11, 2005 02:28 PM
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