Batters



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Showing page 196 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
2011 MIL Corey Hart 551 195 492 251 0.354 0.510 0.864 0.316 0.406 0.721 0.335 0.458 0.793 0.706 10.6 26.1 36.8 1.08 8.8 21.8 30.7
2004 MON Brad Wilkerson 688 256 572 285 0.372 0.498 0.870 0.341 0.429 0.770 0.357 0.464 0.820 0.752 10.6 20.1 30.6 1.00 10.6 20.2 30.7
2023 NYN Brandon Nimmo 682 247 592 276 0.362 0.466 0.828 0.324 0.406 0.730 0.343 0.436 0.779 0.739 13.2 18.1 31.2 1.01 13.0 17.8 30.7
2019 NYN Michael Conforto 648 235 549 271 0.363 0.494 0.856 0.327 0.432 0.760 0.345 0.463 0.808 0.752 11.6 18.5 30.0 1.00 11.9 18.9 30.7
1954 PHI Granny Hamner 660 231 596 278 0.350 0.466 0.816 0.322 0.397 0.719 0.336 0.432 0.768 0.738 9.3 21.4 30.6 1.00 9.3 21.5 30.7
1951 PHI Richie Ashburn 712 273 643 274 0.383 0.426 0.810 0.332 0.386 0.718 0.358 0.406 0.764 0.717 18.0 13.5 31.5 0.98 17.5 13.2 30.7
2025 SEA Julio Rodriguez 710 230 652 309 0.324 0.474 0.798 0.305 0.391 0.696 0.315 0.432 0.747 0.718 6.7 27.0 33.6 0.93 6.1 24.7 30.7
2016 SLN Aledmys Diaz 460 169 404 206 0.367 0.510 0.877 0.316 0.418 0.734 0.342 0.464 0.806 0.732 11.8 18.4 30.2 0.96 12.0 18.7 30.7
1972 SLN Ted Simmons 629 211 594 276 0.335 0.465 0.800 0.323 0.374 0.696 0.329 0.419 0.748 0.676 3.9 27.1 31.0 1.02 3.9 26.8 30.7
2005 TEX Alfonso Soriano 682 211 637 326 0.309 0.512 0.821 0.319 0.409 0.728 0.314 0.460 0.775 0.753 -3.3 33.4 30.0 0.99 -3.2 34.0 30.7
1992 TOR Roberto Alomar 671 269 571 244 0.401 0.427 0.828 0.333 0.390 0.724 0.367 0.409 0.776 0.711 22.5 11.0 33.4 1.03 20.7 10.1 30.7
2025 ANA Taylor Ward 663 210 579 275 0.317 0.475 0.792 0.302 0.395 0.697 0.309 0.435 0.744 0.718 4.9 23.7 28.5 1.06 5.3 25.4 30.6
1999 ATL Andruw Jones 679 248 592 286 0.365 0.483 0.848 0.327 0.423 0.750 0.346 0.453 0.799 0.768 13.0 17.8 30.8 1.00 12.9 17.7 30.6
2013 BOS Mike Napoli 578 208 498 240 0.360 0.482 0.842 0.314 0.409 0.723 0.337 0.446 0.782 0.723 13.3 17.9 31.1 1.01 13.1 17.6 30.6
1920 BRO Ed Konetchy 545 187 497 214 0.343 0.431 0.774 0.305 0.349 0.654 0.324 0.390 0.714 0.670 10.4 20.6 31.0 1.03 10.3 20.3 30.6
1949 BRO Gil Hodges 675 240 595 270 0.356 0.454 0.809 0.324 0.384 0.708 0.340 0.419 0.759 0.719 10.4 20.7 31.2 1.02 10.2 20.3 30.6
1999 CHA Frank Thomas 590 244 486 229 0.414 0.471 0.885 0.335 0.438 0.772 0.374 0.454 0.829 0.784 23.2 8.7 31.8 1.03 22.3 8.4 30.6
2008 CHN Alfonso Soriano 503 173 453 241 0.344 0.532 0.876 0.321 0.415 0.736 0.332 0.474 0.806 0.740 6.0 26.3 32.2 1.01 5.7 25.0 30.6
2018 CHN Anthony Rizzo 665 250 566 266 0.376 0.470 0.846 0.327 0.413 0.740 0.351 0.442 0.793 0.720 16.4 16.0 32.3 1.02 15.5 15.2 30.6
1922 CIN Jake Daubert 700 265 609 300 0.379 0.493 0.871 0.359 0.420 0.779 0.369 0.456 0.825 0.743 6.6 23.0 29.6 0.97 6.8 23.8 30.6
Total 12691 4552 11177 5317 219.1 409.3 627.4 212.7 401.4 613.1

*** 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).