Pitcher Team In Play 실제
아웃수
 예상된
 아웃수
DER Predicted DER Ratio
Chien-Ming Wang NYY 306 215 200.92 0.703 0.657 107.01
Daisuke Matsuzaka Bos 449 327 306.07 0.728 0.682 106.84
Jesse Litsch Tor 569 407 382.14 0.715 0.672 106.51
Tim Wakefield Bos 539 405 382.33 0.751 0.709 105.93
Ryan Rowland-Smith Sea 366 262 249.06 0.716 0.680 105.20
Justin Duchscherer Oak 409 308 292.97 0.753 0.716 105.13
CC Sabathia Cle 334 228 217.23 0.683 0.650 104.96
Tim Hudson Atl 435 317 302.69 0.729 0.696 104.73
Scott Kazmir TB 378 277 264.57 0.733 0.700 104.70
Roy Oswalt Hou 617 436 416.75 0.707 0.675 104.62
Jeremy Sowers Cle 409 279 266.73 0.682 0.652 104.60
CC Sabathia Mil 353 246 235.49 0.697 0.667 104.46
Armando Galarraga Det 525 391 375.29 0.745 0.715 104.19
Greg Smith Oak 578 423 406.63 0.732 0.704 104.03
John Lackey LAA 469 329 316.59 0.701 0.675 103.92
Kyle Kendrick Phi 560 380 365.69 0.679 0.653 103.91
Glen Perkins Min 520 357 343.77 0.687 0.661 103.85
Ryan Dempster ChC 572 406 391.16 0.710 0.684 103.80
Shaun Marcum Tor 427 317 305.52 0.742 0.716 103.76
Paul Byrd Cle 446 319 307.48 0.715 0.689 103.75
Brian Moehler Hou 509 356 343.33 0.699 0.675 103.69
R.A. Dickey Sea 374 263 253.88 0.703 0.679 103.59
Joe Saunders LAA 623 445 429.72 0.714 0.690 103.56
Dustin McGowan Tor 337 228 220.26 0.677 0.654 103.51
Adam Wainwright StL 404 289 279.63 0.715 0.692 103.35
Josh Beckett Bos 492 333 322.69 0.677 0.656 103.19
Jorge Campillo Atl 490 347 336.39 0.708 0.687 103.16
Ben Sheets Mil 589 417 404.45 0.708 0.687 103.10
John Lannan Was 560 401 389.21 0.716 0.695 103.03
Zach Miner Det 385 276 268.08 0.717 0.696 102.95
Kevin Slowey Min 480 340 330.37 0.708 0.688 102.92
Vicente Padilla Tex 524 356 345.93 0.679 0.660 102.91
Jake Peavy SD 459 331 322.53 0.721 0.703 102.63
Jeremy Guthrie Bal 587 428 417.45 0.729 0.711 102.53
Cole Hamels Phi 635 464 453.13 0.731 0.714 102.40
David Bush Mil 567 422 413.33 0.744 0.729 102.10
Paul Maholm Pit 621 437 428.22 0.704 0.690 102.05
Jeff Francis Col 469 321 314.83 0.684 0.671 101.96
John Danks CWS 569 396 388.39 0.696 0.683 101.96
Scott Baker Min 497 354 347.21 0.712 0.699 101.96
Roy Halladay Tor 713 501 491.48 0.703 0.689 101.94
Matt Garza TB 560 399 391.43 0.712 0.699 101.93
Micah Owings Ari 312 220 215.84 0.705 0.692 101.93
Johan Santana NYM 668 476 467.22 0.713 0.699 101.88
Scott Feldman Tex 488 344 337.73 0.705 0.692 101.86
Oliver Perez NYM 527 380 373.11 0.721 0.708 101.85
Derek Lowe LAD 644 453 444.85 0.703 0.691 101.83
Scott Olsen Fla 640 463 454.69 0.723 0.710 101.83
Felix Hernandez Sea 577 391 384.12 0.678 0.666 101.79
Doug Davis Ari 457 303 298.15 0.663 0.652 101.63
Edwin Jackson TB 582 401 394.74 0.689 0.678 101.59
Dan Haren Ari 610 421 414.60 0.690 0.680 101.54
Aaron Cook Col 725 489 481.78 0.674 0.665 101.50
Kyle Lohse StL 650 453 446.33 0.697 0.687 101.49
Jeff Suppan Mil 589 407 401.18 0.691 0.681 101.45
Hiroki Kuroda LAD 598 418 412.03 0.699 0.689 101.45
Dana Eveland Oak 519 351 346.09 0.676 0.667 101.42
Jered Weaver LAA 513 355 350.05 0.692 0.682 101.41
Todd Wellemeyer StL 579 419 413.37 0.724 0.714 101.36
Carlos Zambrano ChC 570 404 398.66 0.709 0.699 101.34
Jamie Moyer Phi 625 437 431.36 0.699 0.690 101.31
Jon Garland LAA 684 462 456.10 0.675 0.667 101.29
Braden Looper StL 653 453 447.51 0.694 0.685 101.23
Miguel Batista Sea 379 257 254.22 0.678 0.671 101.09
Jair Jurrjens Atl 589 401 397.07 0.681 0.674 100.99
Matt Cain SF 630 436 431.93 0.692 0.686 100.94
Kevin Correia SF 382 248 245.75 0.649 0.643 100.91
Gavin Floyd CWS 625 450 446.51 0.720 0.714 100.78
Javier Vazquez CWS 598 405 401.92 0.677 0.672 100.77
Tim Lincecum SF 562 385 382.12 0.685 0.680 100.75
Jason Marquis ChC 554 390 387.25 0.704 0.699 100.71
Aaron Harang Cin 552 379 376.37 0.687 0.682 100.70
Jose Contreras CWS 402 280 278.09 0.697 0.692 100.69
Johnny Cueto Cin 500 344 341.79 0.688 0.684 100.65
Joel Pineiro StL 505 342 339.90 0.677 0.673 100.62
Brad Penny LAD 311 212 211.06 0.682 0.679 100.45
Jon Lester Bos 632 438 436.20 0.693 0.690 100.41
Boof Bonser Min 382 249 248.24 0.652 0.650 100.31
Greg Maddux SD 511 360 359.16 0.705 0.703 100.23
Aaron Laffey Cle 316 217 216.67 0.687 0.686 100.15
Manny Parra Mil 499 322 321.73 0.645 0.645 100.08
Gil Meche KC 611 420 419.79 0.687 0.687 100.05
Mike Mussina NYY 613 409 409.01 0.667 0.667 100.00
Jarrod Washburn Sea 512 350 350.13 0.684 0.684 99.96
Chad Billingsley LAD 556 370 370.36 0.665 0.666 99.90
Cliff Lee Cle 670 462 462.50 0.690 0.690 99.89
Zack Greinke KC 587 399 399.62 0.680 0.681 99.84
Ted Lilly ChC 574 412 412.67 0.718 0.719 99.84
Tim Redding Was 572 397 397.98 0.694 0.696 99.75
Wandy Rodriguez Hou 393 266 266.71 0.677 0.679 99.74
Andy Sonnanstine TB 632 432 433.24 0.684 0.686 99.71
Chris Sampson Hou 383 267 267.83 0.697 0.699 99.69
Daniel Cabrera Bal 594 409 410.64 0.689 0.691 99.60
Bronson Arroyo Cin 605 408 409.76 0.674 0.677 99.57
Joe Blanton Oak 440 303 304.31 0.689 0.692 99.57
Jason Bergmann Was 445 310 311.45 0.697 0.700 99.53
Brandon Webb Ari 671 458 460.45 0.683 0.686 99.47
Ervin Santana LAA 605 422 424.34 0.698 0.701 99.45
Zach Duke Pit 669 445 447.62 0.665 0.669 99.42
Kenny Rogers Det 598 400 402.42 0.669 0.673 99.40
Ubaldo Jimenez Col 572 395 397.49 0.691 0.695 99.37
Carlos Silva Sea 564 365 367.36 0.647 0.651 99.36
Nate Robertson Det 563 365 367.59 0.648 0.653 99.30
Jo-Jo Reyes Atl 361 241 242.79 0.668 0.673 99.26
Clayton Kershaw LAD 306 204 205.65 0.667 0.672 99.20
Ricky Nolasco Fla 606 432 435.96 0.713 0.719 99.09
James Shields TB 641 448 452.73 0.699 0.706 98.96
Justin Verlander Det 598 415 419.47 0.694 0.701 98.93
Mike Pelfrey NYM 652 446 450.98 0.684 0.692 98.89
Randy Johnson Ari 531 359 363.22 0.676 0.684 98.84
Kyle Davies KC 361 248 251.20 0.687 0.696 98.73
Edinson Volquez Cin 511 350 354.63 0.685 0.694 98.69
Nick Blackburn Min 658 445 451.38 0.676 0.686 98.59
John Maine NYM 399 286 290.11 0.717 0.727 98.58
Pedro Martinez NYM 337 225 228.38 0.668 0.678 98.52
A.J. Burnett Tor 613 405 411.37 0.661 0.671 98.45
Jorge de la Rosa Col 361 240 243.99 0.665 0.676 98.37
Mark Hendrickson Fla 439 302 307.04 0.688 0.699 98.36
Brian Burres Bal 460 309 314.46 0.672 0.684 98.26
Kevin Millwood Tex 569 360 366.45 0.633 0.644 98.24
Brian Bannister KC 603 408 415.51 0.677 0.689 98.19
Luke Hochevar KC 430 291 297.11 0.677 0.691 97.94
Randy Wolf SD 348 237 242.07 0.681 0.696 97.91
Brandon Backe Hou 512 341 348.41 0.666 0.680 97.87
Barry Zito SF 576 393 401.59 0.682 0.697 97.86
Cha Seung Baek SD 353 238 243.40 0.674 0.690 97.78
Brett Myers Phi 554 379 388.08 0.684 0.701 97.66
Mark Buehrle CWS 699 466 477.66 0.667 0.683 97.56
Odalis Perez Was 507 337 345.85 0.665 0.682 97.44
Andrew Miller Fla 336 216 222.12 0.643 0.661 97.24
Tom Gorzelanny Pit 332 225 231.65 0.678 0.698 97.13
Jonathan Sanchez SF 442 297 306.08 0.672 0.692 97.03
Livan Hernandez Min 525 339 349.78 0.646 0.666 96.92
Garrett Olson Bal 451 295 304.47 0.654 0.675 96.89
Carlos Villanueva Mil 320 220 228.02 0.688 0.713 96.48
Ian Snell Pit 522 335 347.60 0.642 0.666 96.38
Andy Pettitte NYY 641 420 439.26 0.655 0.685 95.62
Darrell Rasner NYY 387 257 269.56 0.664 0.697 95.34
Adam Eaton Phi 356 236 248.23 0.663 0.697 95.07
Fausto Carmona Cle 405 273 288.06 0.674 0.711 94.77


Those are pretty impressive numbers for Daisuke Matsuzaka and Tim Wakefield. Not only were balls in play against them easy to field, the Red Sox did a great job of turning them into outs. For Yankees fans who are concerned about New York signing Andy Pettitte again, better defense would improve Andy's runs allowed a great deal. CC Sabathia certainly benefitted from good defense in both Cleveland and Milwaukee, so teams looking to sign him should be prepared to send their best fielders out behind the lefty.

Brian Bannister shows how important defense is to a low strikeout pitcher. His expected DER is low, and with the Royals doing a poor job fielding behind him, his actual DER was even lower. Bannister really needs to play for a team of defensive wizards.

☞ 데이빗 핀토의 2008년 투수 PMR 순위입니다. 핀토의 수비스탯은 MGL의 UZR의 아이디어를 보다 구체적으로 실현했으며, 전 타구를 대상으로 측정을 했다는 점에서 더 신뢰도를 높일수 있었습니다.
I was basically repeating work done by Mitchel Lichtman which he named the Ultimate Zone Rating (UZR).

핀토는 다음의 6가지 요소를 바탕으로 수비수의 능력을 측정했습니다.

1. 공이 떨어진 지역
2. 타구의 유형 (플라이볼, 그라운드볼, 라인드라이브, 번트)
3. 타구의 강도 (슬로우, 미듐, 하드)
4. 경기장
5. 투수의 유형 (좌,우투수) 
6. 타자의 유형 (좌,우타자)

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