February 29, 2012

Objective PMR, Leftfielders

The series on objective probabilistic model of range (PMR) continues by looking at leftfielders. I’ll show teams as a whole at the position, plus individuals who were on the field for 1000 balls in play. First the teams:

Objective PMR, team leftfielders, 2011. Model built on data from 2005-2010, visiting teams only.
Team In Play Actual Outs Predicted Outs Actual DER Predicted DER Index
NYA 2947 363 297.9 0.123 0.101 121.8
ARI 2870 335 304.0 0.117 0.106 110.2
TBA 3455 358 325.0 0.104 0.094 110.1
KCA 3740 353 323.7 0.094 0.087 109.1
LAN 2766 272 253.8 0.098 0.092 107.2
WAS 2546 305 288.1 0.120 0.113 105.9
SEA 3586 350 331.2 0.098 0.092 105.7
ATL 2983 285 270.5 0.096 0.091 105.4
DET 3106 349 332.2 0.112 0.107 105.0
SFN 1492 150 143.3 0.101 0.096 104.7
BOS 3106 313 302.9 0.101 0.098 103.3
HOU 3304 259 252.8 0.078 0.076 102.5
MIL 3285 263 257.8 0.080 0.078 102.0
ANA 3816 350 343.5 0.092 0.090 101.9
CIN 3424 290 285.0 0.085 0.083 101.8
TEX 3116 309 305.7 0.099 0.098 101.1
MIN 2807 330 329.1 0.118 0.117 100.3
BAL 3638 353 356.7 0.097 0.098 99.0
CHA 3520 310 317.1 0.088 0.090 97.8
CLE 3817 319 329.0 0.084 0.086 97.0
SDN 2880 273 282.5 0.095 0.098 96.6
PIT 1662 128 133.5 0.077 0.080 95.9
FLO 3273 282 294.7 0.086 0.090 95.7
NYN 2664 276 290.0 0.104 0.109 95.2
TOR 3572 297 313.1 0.083 0.088 94.9
CHN 2998 247 262.5 0.082 0.088 94.1
PHI 2507 242 257.1 0.097 0.103 94.1
OAK 3261 285 310.9 0.087 0.095 91.7
SLN 3294 262 287.6 0.080 0.087 91.1
COL 3336 220 263.5 0.066 0.079 83.5

I can’t say I’m surprised to see the Yankees and Rays near the top. Brett Gardner is known for his defense, and Sam Fuld made some amazing plays for the Rays before Desmond Jennings moved into the lineup.

The individuals:

Objective PMR, individual leftfielders, 2011. Model built on data from 2005-2010, visiting teams only. 1000 balls in play, minimum.
Fielder In Play Actual Outs Predicted Outs Actual DER Predicted DER Index
Brett Gardner 2387 294 237.4 0.123 0.099 123.9
Gerardo Parra 2051 244 216.6 0.119 0.106 112.7
Vernon Wells 2408 241 214.8 0.100 0.089 112.2
Sam Fuld 1505 162 146.7 0.108 0.097 110.4
Josh Hamilton 1472 153 140.7 0.104 0.096 108.7
Ryan Braun 2826 237 219.8 0.084 0.078 107.8
Alex Gordon 3419 313 292.1 0.092 0.085 107.2
Martin Prado 1656 165 158.4 0.100 0.096 104.2
Tony Gwynn 1165 110 107.4 0.094 0.092 102.5
Nolan Reimold 1524 146 143.4 0.096 0.094 101.8
Jonny Gomes 1269 112 110.8 0.088 0.087 101.1
Desmond Jennings 1000 100 98.9 0.100 0.099 101.1
Carl Crawford 2342 235 233.2 0.100 0.100 100.8
Carlos Lee 1509 113 114.6 0.075 0.076 98.6
Delmon Young 1886 208 214.2 0.110 0.114 97.1
Jason Bay 1922 204 210.3 0.106 0.109 97.0
David Murphy 1278 123 127.0 0.096 0.099 96.8
Logan Morrison 2295 197 207.9 0.086 0.091 94.7
Juan Pierre 3282 278 295.0 0.085 0.090 94.2
Michael Brantley 1396 114 121.5 0.082 0.087 93.8
Alfonso Soriano 2062 169 181.2 0.082 0.088 93.3
Raul Ibanez 1983 195 209.1 0.098 0.105 93.2
Eric Thames 1132 91 99.1 0.080 0.088 91.8
Josh Willingham 1862 155 170.5 0.083 0.092 90.9
Ryan Ludwick 1864 155 173.6 0.083 0.093 89.3
Matt Holliday 2310 182 204.0 0.079 0.088 89.2
Carlos Gonzalez 1094 76 87.4 0.069 0.080 86.9

Gardner and Fuld were indeed very good, and Desmond Jennings held his own. I’m impressed with Carlos Lee’s ranking. At this point, I would think he would be old and slow, but it looks like he gets to most of the balls that he should catch. Juan Pierre, Alfonso Soriano, Raul Ibanez, and Matt Holliday all lost a step.

7 thoughts on “Objective PMR, Leftfielders

  1. pft

    If arm was included Crawford is a lot lower. I don’t think I have seen such a poor throwing LF’er for the Red Sox in over 45 years (with Williams and yaz going back another 20 years before 67 that I did not see).

    Only 1 assist (on a cut off). Oh my.

    Hoping it was his wrist to blame.

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  2. James

    I’m not surprised that Brett Gardner rates high, but I’m surprised he rates *that* high. He has a higher index than anyone but Jack Hannahan, and saved more outs than any other player.
    What is the expected win value of getting an extra 57 outs over 150 games, David? I mean, how many runs does an outfielder save by getting an extra 57 outs, on average?

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  3. David Pinto Post author

    James » I believe the book has a fly out worth 0.28 runs (in the fielder’s favor). So assuming all fly outs, 16 runs. FanGraphs puts his fielding runs at 25.8, so I would think those range numbers are reasonable.

    Remember, we’re talking about him playing in a big field at Yankees stadium. When you build the parameters off everyone else, Gardner is going to look really good.

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  4. James

    David, I don’t think that’s the right way to do it. The .28 Book value of an out means this: on average, the expected runs for the situation goes down by .28 when the batter makes an out. It’s the difference between the situation before the AB and the situation after the fly out.

    But if Gardner gets 57 extra outs, we need a different statistic. We aren’t looking for the exp run difference between pre-AB and post-out. We’re looking for the exp run difference between the fielder catching that batted ball and the fielder missing that batted ball.

    I don’t know what that value is, but it’s sure to be MUCH bigger than the .28 in The Book. (I bet it’s greater than a run per extra out when we’re talking about OF outs.)

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  5. James

    Okay, here’s a rough estimate. Suppose 36 of those outs would have been singles and 21 would have been doubles. (It’s just a wild guess, I have no idea.) So 36 of the catches add an out *and* prevent a single, while 21 of them add an out *and* prevent a double. A double is worth .77 and a single .47, so 36*.75 + 21*1.05 = about 46 runs. (Which is a lot more than FanGraphs estimates.)

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  6. David Pinto Post author

    James » I’ll have to think about this. The run estimates is the linear runs coefficients. So you should be able to figure out his runs on each out or hit, and get his total, where 0 would be average. Of course, you need to share the hits with other fielders, since more than one fielder can be responsible for a hit, but give all the credit for the out to the fielder who makes the play.

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