Batters



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Showing page 193 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
2009 NYN David Wright 618 241 535 239 0.390 0.447 0.837 0.320 0.412 0.732 0.355 0.429 0.784 0.735 21.6 9.0 30.5 0.98 22.0 9.1 31.0
1999 OAK Matt Stairs 623 228 531 283 0.366 0.533 0.899 0.349 0.434 0.783 0.357 0.484 0.841 0.784 5.3 26.0 31.2 1.01 5.3 25.8 31.0
1912 PHI Gavvy Cravath 503 175 436 205 0.348 0.470 0.818 0.323 0.358 0.681 0.335 0.414 0.750 0.700 6.3 24.3 30.6 1.01 6.4 24.6 31.0
1988 SDN Tony Gwynn 578 214 521 216 0.370 0.415 0.785 0.312 0.360 0.672 0.341 0.387 0.728 0.669 16.9 14.2 31.1 1.01 16.8 14.2 31.0
1915 WS1 Chick Gandil 539 176 483 196 0.327 0.406 0.732 0.292 0.312 0.603 0.309 0.359 0.668 0.640 9.4 22.7 32.3 1.03 9.0 21.8 31.0
2006 ATL Adam LaRoche 557 197 492 276 0.354 0.561 0.915 0.346 0.448 0.794 0.350 0.505 0.854 0.757 2.1 28.6 30.8 0.96 2.1 28.7 30.9
1998 ATL Javy Lopez 534 175 489 264 0.328 0.540 0.868 0.323 0.417 0.740 0.325 0.479 0.804 0.737 1.3 30.1 31.4 1.01 1.3 29.6 30.9
1963 BAL John Orsino 430 150 379 180 0.349 0.475 0.824 0.303 0.370 0.673 0.326 0.422 0.749 0.688 9.7 20.2 29.9 0.98 10.0 20.9 30.9
2007 BOS Kevin Youkilis 625 244 528 239 0.390 0.453 0.843 0.327 0.408 0.735 0.359 0.430 0.789 0.759 19.7 11.3 30.9 1.06 19.7 11.3 30.9
1966 CAL Rick Reichardt 360 131 319 153 0.364 0.480 0.844 0.297 0.361 0.659 0.331 0.420 0.751 0.671 12.1 18.8 30.8 0.98 12.1 18.9 30.9
1969 CHA Carlos May 434 167 367 179 0.385 0.488 0.873 0.329 0.383 0.713 0.357 0.435 0.793 0.687 12.0 19.5 31.5 1.01 11.8 19.1 30.9
2002 CHA Paul Konerko 630 226 570 284 0.359 0.498 0.857 0.324 0.425 0.749 0.341 0.462 0.803 0.753 10.9 20.3 31.2 1.02 10.8 20.1 30.9
1925 CHN Gabby Hartnett 443 153 398 221 0.345 0.555 0.901 0.328 0.401 0.730 0.337 0.478 0.815 0.754 3.7 30.7 34.3 1.04 3.3 27.7 30.9
1971 CHN Ron Santo 642 227 555 235 0.354 0.423 0.777 0.307 0.358 0.664 0.330 0.391 0.721 0.679 15.0 18.2 33.2 1.03 14.0 16.9 30.9
2007 COL Garrett Atkins 684 251 605 294 0.367 0.486 0.853 0.323 0.414 0.737 0.345 0.450 0.795 0.753 15.1 22.0 37.1 1.07 12.6 18.3 30.9
2024 DET Riley Greene 584 203 512 245 0.348 0.479 0.826 0.312 0.398 0.710 0.330 0.438 0.768 0.703 10.6 21.0 31.5 1.02 10.4 20.6 30.9
1998 DET Tony Clark 673 241 602 314 0.358 0.522 0.880 0.345 0.438 0.783 0.351 0.480 0.831 0.769 4.5 25.3 29.7 0.97 4.7 26.3 30.9
2019 HOU Yuli Gurriel 612 210 564 305 0.343 0.541 0.884 0.323 0.445 0.767 0.333 0.493 0.826 0.761 6.2 27.4 33.6 1.05 5.7 25.2 30.9
1963 NYA Mickey Mantle 213 94 172 107 0.441 0.622 1.063 0.326 0.409 0.734 0.383 0.515 0.899 0.688 12.3 18.8 31.1 1.01 12.2 18.7 30.9
1975 NYA Thurman Munson 661 241 597 256 0.365 0.429 0.793 0.317 0.378 0.694 0.341 0.403 0.744 0.703 16.0 14.9 30.9 0.99 16.0 14.9 30.9
Total 10943 3944 9655 4691 210.7 423.3 633.6 206.2 412.7 618.5

*** 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).