Batters



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Showing page 180 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
1967 LAN Al Ferrara 384 132 347 162 0.344 0.467 0.811 0.304 0.364 0.668 0.324 0.415 0.739 0.669 7.5 17.9 25.5 0.91 9.5 22.8 32.4
2019 LAN Justin Turner 549 204 479 244 0.372 0.509 0.881 0.317 0.433 0.750 0.344 0.471 0.815 0.752 15.0 17.9 32.9 0.97 14.8 17.6 32.4
2006 LAN Nomar Garciaparra 523 192 469 237 0.367 0.505 0.872 0.319 0.418 0.737 0.343 0.462 0.805 0.757 12.6 20.9 33.4 1.02 12.2 20.3 32.4
1923 NY1 Frankie Frisch 703 273 641 310 0.388 0.484 0.872 0.355 0.421 0.776 0.372 0.452 0.824 0.730 11.7 20.5 32.2 1.00 11.8 20.6 32.4
1951 NY1 Willie Mays 523 185 464 219 0.354 0.472 0.826 0.319 0.384 0.703 0.336 0.428 0.764 0.717 9.0 21.1 30.2 0.97 9.7 22.6 32.4
1962 NYA Roger Maris 687 244 590 286 0.355 0.485 0.840 0.334 0.402 0.736 0.345 0.443 0.788 0.716 7.2 24.3 31.6 0.98 7.4 24.9 32.4
1997 OAK Matt Stairs 410 158 352 205 0.385 0.582 0.968 0.347 0.440 0.787 0.366 0.511 0.877 0.766 7.9 25.4 33.3 1.02 7.7 24.7 32.4
1998 OAK Matt Stairs 593 219 523 267 0.369 0.511 0.880 0.343 0.430 0.773 0.356 0.470 0.826 0.769 7.8 21.3 29.0 0.98 8.7 23.8 32.4
1972 PIT Roberto Clemente 413 147 378 181 0.356 0.479 0.835 0.301 0.361 0.663 0.329 0.420 0.749 0.676 11.3 22.3 33.6 1.03 10.9 21.5 32.4
1952 SLN Solly Hemus 690 269 570 242 0.390 0.425 0.814 0.331 0.377 0.708 0.361 0.401 0.761 0.693 20.2 12.7 32.9 1.01 19.9 12.5 32.4
2009 TBA Carlos Pena 570 203 471 253 0.356 0.537 0.893 0.332 0.422 0.754 0.344 0.479 0.824 0.762 6.8 27.5 34.4 1.02 6.4 25.9 32.4
2011 TBA Evan Longoria 574 204 483 239 0.355 0.495 0.850 0.317 0.408 0.725 0.336 0.451 0.788 0.728 11.0 21.0 32.1 0.96 11.1 21.2 32.4
1970 BOS George Scott 530 188 480 224 0.355 0.467 0.821 0.308 0.368 0.676 0.331 0.417 0.749 0.697 12.3 24.0 36.3 1.07 10.9 21.4 32.3
2025 CHN Kyle Tucker 597 224 500 232 0.375 0.464 0.839 0.318 0.401 0.719 0.346 0.433 0.779 0.718 17.2 15.6 32.8 0.99 16.9 15.4 32.3
1935 CLE Odell Hale 648 232 589 286 0.358 0.486 0.844 0.341 0.401 0.742 0.349 0.443 0.793 0.747 5.5 25.1 30.6 0.97 5.8 26.5 32.3
1916 DET Harry Heilmann 515 176 451 185 0.342 0.410 0.752 0.293 0.308 0.600 0.317 0.359 0.676 0.635 12.8 23.1 35.9 1.04 11.5 20.8 32.3
1982 MIN Tom Brunansky 545 205 463 218 0.376 0.471 0.847 0.318 0.399 0.717 0.347 0.435 0.782 0.727 16.1 16.5 32.5 1.01 16.0 16.4 32.3
1999 MON Rondell White 588 211 539 272 0.359 0.505 0.863 0.325 0.419 0.744 0.342 0.462 0.804 0.768 9.9 22.9 32.8 1.03 9.7 22.6 32.3
1945 NYA Nick Etten 663 255 565 247 0.385 0.437 0.822 0.336 0.371 0.706 0.360 0.404 0.764 0.665 16.3 18.9 35.1 1.07 15.0 17.4 32.3
1994 TEX Will Clark 469 202 389 195 0.431 0.501 0.932 0.353 0.429 0.782 0.392 0.465 0.857 0.776 18.4 13.9 32.3 1.00 18.4 13.9 32.3
Total 11174 4123 9743 4704 236.5 412.8 649.4 234.3 412.8 647.2

*** 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).