Batters



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Showing page 147 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
1982 MIL Gorman Thomas 666 227 567 287 0.341 0.506 0.847 0.320 0.404 0.724 0.330 0.455 0.786 0.727 7.0 29.0 36.0 0.98 7.1 29.5 36.6
1979 MIL Paul Molitor 645 238 584 274 0.369 0.469 0.838 0.322 0.397 0.719 0.345 0.433 0.778 0.739 15.3 21.2 36.5 1.00 15.3 21.3 36.6
2000 PIT John Vander Wal 461 189 384 216 0.410 0.563 0.972 0.349 0.443 0.793 0.380 0.503 0.883 0.770 14.0 22.5 36.6 1.00 14.0 22.5 36.6
1947 SLA Vern Stephens 634 227 562 228 0.358 0.406 0.764 0.309 0.335 0.644 0.334 0.370 0.704 0.693 15.4 20.0 35.4 0.98 15.9 20.7 36.6
1965 SLN Curt Flood 683 248 617 260 0.363 0.421 0.784 0.301 0.366 0.667 0.332 0.394 0.726 0.681 21.1 17.0 38.1 1.02 20.3 16.3 36.6
1995 BAL Harold Baines 459 185 385 208 0.403 0.540 0.943 0.346 0.418 0.764 0.374 0.479 0.854 0.769 13.1 23.9 37.0 1.03 12.9 23.6 36.5
2025 BOS Rafael Devers 334 134 272 137 0.401 0.504 0.905 0.308 0.401 0.709 0.355 0.452 0.807 0.718 20.7 18.0 38.8 1.03 19.5 16.9 36.5
1995 CAL Jim Edmonds 620 218 558 299 0.352 0.536 0.887 0.338 0.413 0.752 0.345 0.475 0.820 0.769 4.0 34.9 38.9 1.04 3.8 32.7 36.5
1960 CHA Al Smith 596 223 536 242 0.374 0.451 0.826 0.316 0.379 0.695 0.345 0.415 0.760 0.711 17.2 19.6 36.7 1.01 17.1 19.5 36.5
1998 CHA Frank Thomas 712 271 585 281 0.381 0.480 0.861 0.328 0.426 0.754 0.354 0.453 0.807 0.769 18.8 15.3 34.2 0.99 20.1 16.3 36.5
1962 CHN Billy Williams 699 258 618 288 0.369 0.466 0.835 0.333 0.399 0.731 0.351 0.432 0.783 0.716 12.8 21.4 34.1 0.98 13.7 22.9 36.5
1924 CHN Gabby Hartnett 406 150 353 185 0.369 0.524 0.894 0.318 0.378 0.695 0.343 0.451 0.794 0.721 10.6 26.1 36.6 1.00 10.6 26.0 36.5
1991 CHN George Bell 603 195 558 261 0.323 0.468 0.791 0.299 0.367 0.666 0.311 0.418 0.729 0.686 7.4 28.0 35.4 1.01 7.6 28.9 36.5
2008 CHN Jim Edmonds 298 110 250 142 0.369 0.568 0.937 0.339 0.425 0.764 0.354 0.496 0.850 0.740 8.3 28.6 36.8 1.01 8.2 28.4 36.5
1940 CIN Ernie Lombardi 414 158 376 184 0.382 0.489 0.871 0.307 0.364 0.672 0.345 0.427 0.771 0.697 15.4 23.6 39.0 1.04 14.4 22.1 36.5
1939 CLE Ken Keltner 646 240 587 287 0.372 0.489 0.860 0.339 0.400 0.739 0.355 0.445 0.800 0.752 10.6 26.0 36.6 0.96 10.6 25.9 36.5
1941 CLE Ken Keltner 645 210 581 282 0.326 0.485 0.811 0.320 0.373 0.693 0.323 0.429 0.752 0.726 2.0 32.5 34.5 0.98 2.1 34.4 36.5
1974 DET Bill Freehan 502 179 445 213 0.357 0.479 0.835 0.311 0.364 0.674 0.334 0.421 0.755 0.691 11.5 25.1 36.6 1.03 11.5 25.0 36.5
1992 DET Mickey Tettleton 654 248 525 246 0.379 0.469 0.848 0.332 0.387 0.719 0.356 0.428 0.783 0.711 15.5 21.8 37.3 1.01 15.2 21.3 36.5
2021 HOU Jose Altuve 678 237 601 294 0.350 0.489 0.839 0.314 0.416 0.729 0.332 0.452 0.784 0.730 12.1 23.1 35.2 0.98 12.5 24.0 36.5
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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).