Batters



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Showing page 191 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
1950 SLN Tommy Glaviano 510 213 410 183 0.418 0.446 0.864 0.326 0.404 0.730 0.372 0.425 0.797 0.733 23.3 8.8 32.1 1.02 22.6 8.6 31.2
2003 TEX Hank Blalock 615 215 567 296 0.350 0.522 0.872 0.331 0.412 0.743 0.340 0.467 0.807 0.759 6.0 31.3 37.2 1.05 5.0 26.3 31.2
1991 TOR Joe Carter 706 233 638 321 0.330 0.503 0.833 0.320 0.394 0.714 0.325 0.449 0.774 0.721 3.7 34.4 38.2 1.07 3.0 28.1 31.2
1992 TOR John Olerud 537 201 458 206 0.374 0.450 0.824 0.324 0.372 0.696 0.349 0.411 0.760 0.711 13.4 17.7 31.1 1.03 13.4 17.8 31.2
2006 TOR Lyle Overbay 640 238 581 295 0.372 0.508 0.880 0.343 0.433 0.776 0.357 0.470 0.828 0.775 9.4 22.0 31.3 1.01 9.4 21.9 31.2
1963 WS2 Don Lock 611 206 531 237 0.337 0.446 0.783 0.300 0.371 0.670 0.318 0.409 0.727 0.688 11.5 20.4 31.9 1.02 11.2 20.0 31.2
2000 ARI Steve Finley 623 224 539 293 0.360 0.544 0.903 0.346 0.429 0.775 0.353 0.487 0.839 0.770 4.5 31.2 35.6 1.02 3.9 27.3 31.1
1981 CHA Greg Luzinski 441 161 378 180 0.365 0.476 0.841 0.312 0.374 0.685 0.338 0.425 0.763 0.690 11.8 19.7 31.4 1.01 11.7 19.5 31.1
2005 CHA Jermaine Dye 579 193 529 271 0.333 0.512 0.846 0.317 0.414 0.731 0.325 0.463 0.788 0.753 4.8 26.0 30.8 0.99 4.8 26.3 31.1
1958 CHA Sherm Lollar 491 180 421 191 0.367 0.454 0.820 0.307 0.374 0.681 0.337 0.414 0.751 0.701 14.4 16.6 31.0 0.99 14.4 16.7 31.1
2017 CIN Eugenio Suarez 632 232 534 246 0.367 0.461 0.828 0.313 0.414 0.727 0.340 0.437 0.777 0.746 17.1 12.9 29.9 0.99 17.8 13.4 31.1
1950 CIN Ted Kluszewski 572 199 538 277 0.348 0.515 0.863 0.340 0.404 0.744 0.344 0.460 0.804 0.733 2.2 30.1 32.2 1.05 2.1 29.1 31.1
1980 CLE Alan Bannister 297 114 262 114 0.384 0.435 0.819 0.313 0.382 0.694 0.348 0.408 0.757 0.727 16.4 14.9 31.2 1.00 16.3 14.9 31.1
1992 CLE Carlos Baerga 716 253 657 299 0.353 0.455 0.808 0.331 0.384 0.716 0.342 0.420 0.762 0.711 7.8 23.4 31.1 1.00 7.8 23.4 31.1
2018 CLE Francisco Lindor 745 261 661 343 0.350 0.519 0.869 0.335 0.431 0.766 0.343 0.475 0.818 0.733 5.7 29.6 35.3 1.05 5.0 26.1 31.1
1934 CLE Odell Hale 616 218 563 265 0.354 0.471 0.825 0.336 0.389 0.725 0.345 0.430 0.775 0.744 5.6 23.5 29.0 0.98 6.0 25.2 31.1
1964 DET Bill Freehan 573 200 521 240 0.349 0.461 0.810 0.308 0.384 0.692 0.328 0.422 0.751 0.693 11.9 19.5 31.4 0.98 11.8 19.3 31.1
2000 DET Bobby Higginson 679 255 597 321 0.376 0.538 0.913 0.359 0.448 0.807 0.367 0.493 0.860 0.790 5.6 26.6 32.3 1.02 5.4 25.6 31.1
1942 DET Rudy York 653 223 577 247 0.342 0.428 0.770 0.309 0.343 0.652 0.325 0.386 0.711 0.681 10.5 24.6 35.0 1.06 9.3 21.9 31.1
2013 KCA Eric Hosmer 680 240 623 279 0.353 0.448 0.801 0.313 0.392 0.706 0.333 0.420 0.753 0.723 13.4 18.0 31.3 1.01 13.3 17.9 31.1
Total 11916 4259 10585 5104 199.0 451.2 649.3 194.2 429.3 622.6

*** 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).