Batters



Reset All Picks
Showing page 185 of 4181 (83616 total matches)
YEAR TEAM
ID 		NAME PLATE
APP 		ON
BASE 		AT
BATS 		TOTAL
BASES 		OB
AVG 		SLG
AVG 		OPS OPP
PIT
OB 		OPP
PIT
SLG 		OPP
PIT
OOPS 		EXPCT
OB
AVG 		EXPCT
SLG
AVG 		EXPCT
OPS 		LG
OPS 		PME
OB 		PME
SLG 		PME PF PME
OB
PF 		PME
SLG
PF 		PME
PF
2025 KCA Maikel Garcia 666 233 595 267 0.350 0.449 0.799 0.307 0.395 0.701 0.328 0.422 0.750 0.718 14.5 15.7 30.3 0.95 15.2 16.5 31.8
1978 MON Tony Perez 590 198 544 244 0.336 0.449 0.784 0.303 0.368 0.672 0.319 0.408 0.728 0.688 9.6 22.3 31.9 0.99 9.6 22.2 31.8
1975 PHI Garry Maddox 418 150 374 162 0.359 0.433 0.792 0.313 0.359 0.672 0.336 0.396 0.732 0.691 13.1 19.2 32.3 1.04 12.9 18.9 31.8
1957 PIT Frank Thomas 658 219 594 273 0.333 0.460 0.792 0.308 0.384 0.692 0.320 0.422 0.742 0.719 8.3 22.3 30.5 0.99 8.7 23.2 31.8
1986 SEA Danny Tartabull 578 200 511 250 0.346 0.489 0.835 0.315 0.400 0.715 0.331 0.445 0.775 0.735 9.0 23.4 32.3 1.02 8.9 23.0 31.8
2010 SFN Buster Posey 443 158 406 205 0.357 0.505 0.862 0.314 0.392 0.706 0.335 0.448 0.784 0.720 9.5 22.9 32.4 1.01 9.3 22.5 31.8
1940 SLN Ernie Koy 383 140 348 161 0.366 0.463 0.828 0.317 0.364 0.681 0.341 0.414 0.755 0.697 12.1 19.7 31.8 1.01 12.1 19.7 31.8
2017 TBA Logan Morrison 601 212 512 264 0.353 0.516 0.868 0.324 0.418 0.743 0.339 0.467 0.806 0.752 8.6 25.1 33.7 0.97 8.1 23.7 31.8
1986 TEX Pete O'Brien 641 247 551 258 0.385 0.468 0.854 0.334 0.410 0.744 0.360 0.439 0.799 0.735 16.7 15.5 32.2 0.99 16.5 15.3 31.8
1957 WS1 Jim Lemon 576 199 518 233 0.345 0.450 0.795 0.308 0.367 0.675 0.327 0.409 0.735 0.704 10.8 21.3 32.1 1.00 10.7 21.1 31.8
1968 WS2 Ken McMullen 626 204 557 213 0.326 0.382 0.708 0.279 0.326 0.605 0.303 0.354 0.657 0.633 14.6 15.9 30.4 0.97 15.3 16.6 31.8
2000 ATL Andres Galarraga 548 202 494 260 0.369 0.526 0.895 0.333 0.438 0.770 0.351 0.482 0.833 0.770 9.8 21.4 31.2 0.99 10.0 21.7 31.7
1984 ATL Claudell Washington 479 179 416 195 0.374 0.469 0.842 0.318 0.357 0.675 0.346 0.413 0.759 0.685 13.4 23.2 36.6 1.10 11.6 20.1 31.7
2020 ATL Marcell Ozuna 267 115 228 145 0.431 0.636 1.067 0.334 0.458 0.792 0.383 0.547 0.929 0.746 12.8 20.4 33.3 1.03 12.2 19.4 31.7
2013 BAL Adam Jones 689 219 653 322 0.318 0.493 0.811 0.314 0.404 0.717 0.316 0.448 0.764 0.723 1.5 29.4 31.0 0.99 1.5 30.1 31.7
1911 BOS Duffy Lewis 531 182 470 208 0.343 0.443 0.785 0.310 0.345 0.655 0.326 0.394 0.720 0.688 8.6 23.5 32.1 0.97 8.5 23.2 31.7
1962 DET Norm Cash 629 240 507 260 0.382 0.513 0.894 0.340 0.406 0.746 0.361 0.459 0.820 0.716 13.0 27.4 40.4 1.10 10.2 21.5 31.7
1941 DET Pinky Higgins 619 230 540 228 0.372 0.422 0.794 0.316 0.366 0.682 0.344 0.394 0.738 0.726 17.3 15.4 32.7 1.04 16.8 14.9 31.7
1967 HOU Joe Morgan 580 219 494 203 0.378 0.411 0.789 0.313 0.366 0.680 0.345 0.389 0.734 0.669 18.6 11.7 30.4 0.99 19.4 12.2 31.7
2009 LAN Casey Blake 565 205 485 227 0.363 0.468 0.831 0.314 0.401 0.714 0.338 0.434 0.773 0.735 14.0 16.6 30.6 0.94 14.5 17.2 31.7
Total 11087 3951 9797 4578 235.8 412.3 648.2 232.0 403.0 635.1

*** The information used here was obtained free of charge from and is copyrighted by Retrosheet. Interested parties may contact Retrosheet at 20 Sunset Rd., Newark, DE 19711. ***










On every pitcher versus batter matchup, we have a contest of the batter's ability and
the pitcher's ability. Although OPS and OOPS are not perfect statistics, they are
widely embraced and are relatively straightforward for most fans. They're approximations.
At some point, this process can be made smarter. Until then, this is where we are.

What is the batter's average ability on any plate appearance in a season? It's his OPS for the
season. Likewise, the pitcher's OOPS on the play is his seasonal OOPS. What is the expected
outcome? It's the average of the two, of course.

However, we have two issues to deal with -- the handedness (L or R) of the batter and pitcher
and the park where each event occurred.

1) Hand: For each and every PA, the expected outcome is affected by the hand of the batter and
pitcher. But, we only care about the batter's and pitcher's seasonal OPS/OOPS when it matches
the same scenario as the specific PA.

For example: If a left-handed batter is facing a right-handed pitcher, we only care about how
the batter did versus right-handed pitchers that year, and how the pitcher did versus left-handed
batters. Those are the specific OPS/OOPS values used from which to build the expected outcome.

Ex.: A LHB faces a RHP. The batter's OPS versus righties that year was 0.800. The pitcher's OOPS
versus lefties was 0.700. The expected outcome is the average of the two, 0.750.

Suppose the batter makes an out. His on-base average on the play was 0.000 and his slugging average
is also 0.000. On the play, the batter attained a negative PME, 0.000 minus 0.750 = -0.750. Meanwhile,
the pitcher attained a positive PME of 0.750 minus 0.000 = 0.750. All plays balance in this way.

What if the batter singles? His OB% was 1.000 and his SLG% is 1.000. That's an OPS of 2.000. His PME
is 2.000 minus 0.750 = 1.250, and the pitcher's PME is 0.750 minus 2.000 = -1.250.

All ~16 million plays in MLB from 1910-2025 were assessed in this manner.



2) Park: The parks where events occurred are important as well. Using the enhanced Park Factors at
this site -- those which break down PFs by L-L, L-R, R-L, R-R by using a base counting method -- a
composite PF is derived based on all of the PAs a batter had that season. After the seasonal PME is
compiled by adding all of the plays that year, the PME is divided by the PF* to obtain the final PME.

* The PME is compiled at the home and road level and divided by the corresponding PF. The PFs may
not seem correct but are indicative of the season. For example, the Rockies of 2001 had a composite
PF of 1.22. Todd Helton's (as a lefty) was more like 1.18. On the road, he was 0.97 -- for a
composite of 1.08 (1.18 + 0.97) / 2, the value shown. Before applying the PF, his home PME was about
96 and road was 9. Thus, most of the PME reduction was caused at home. It drops by ~16% (twice 1.08)
while his road PME stays relatively constant. His park-adjusted PME drops from ~105 to 91.


NOTE: This analysis concerns only what the batter does at the plate. Things like base running and
the quality of the opposing defense is not factored in (aside from taking extra bases on a hit).