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Showing page 189 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
2005 NYA Derek Jeter 752 290 654 294 0.386 0.450 0.835 0.319 0.418 0.738 0.353 0.434 0.787 0.753 24.9 9.1 33.9 1.03 23.1 8.4 31.4
2010 NYA Nick Swisher 635 227 566 289 0.357 0.511 0.868 0.338 0.419 0.756 0.347 0.465 0.812 0.732 6.3 26.3 32.5 1.05 6.1 25.4 31.4
1919 NYA Roger Peckinpaugh 537 200 453 183 0.372 0.404 0.776 0.303 0.342 0.645 0.338 0.373 0.711 0.681 18.8 14.0 32.8 1.03 18.0 13.4 31.4
1987 NYN Howard Johnson 645 235 554 279 0.364 0.504 0.868 0.342 0.419 0.760 0.353 0.461 0.814 0.728 7.4 24.1 31.5 0.98 7.4 24.0 31.4
2012 OAK Brandon Moss 296 106 265 158 0.358 0.596 0.954 0.317 0.397 0.714 0.337 0.497 0.834 0.729 6.2 26.2 32.3 0.99 6.0 25.5 31.4
1981 PHI Gary Matthews 428 170 359 162 0.397 0.451 0.848 0.304 0.359 0.662 0.350 0.405 0.755 0.679 20.0 16.7 36.7 1.08 17.1 14.3 31.4
1970 SDN Ollie Brown 577 190 534 261 0.329 0.489 0.818 0.313 0.388 0.701 0.321 0.438 0.760 0.718 4.7 26.9 31.6 1.01 4.7 26.7 31.4
2001 SEA John Olerud 679 272 572 270 0.401 0.472 0.873 0.340 0.436 0.776 0.370 0.454 0.824 0.760 20.7 9.6 30.3 0.97 21.5 9.9 31.4
2021 SEA Ty France 650 239 571 254 0.368 0.445 0.813 0.307 0.406 0.713 0.337 0.425 0.763 0.730 19.7 10.6 30.2 0.97 20.5 11.0 31.4
1979 SLN Ted Simmons 521 192 448 227 0.369 0.507 0.875 0.335 0.392 0.727 0.352 0.449 0.801 0.705 8.7 25.6 34.2 1.04 8.0 23.5 31.4
1975 BOS Carlton Fisk 294 116 263 139 0.395 0.529 0.923 0.316 0.365 0.681 0.355 0.447 0.802 0.703 11.6 21.6 33.2 1.05 10.9 20.4 31.3
1940 BOS Jim Tabor 505 173 459 234 0.343 0.510 0.852 0.322 0.396 0.719 0.332 0.453 0.785 0.745 5.0 26.0 31.1 1.03 5.0 26.2 31.3
1962 BOS Pete Runnels 650 265 562 256 0.408 0.456 0.863 0.340 0.419 0.759 0.374 0.437 0.811 0.716 21.9 9.8 31.7 1.05 21.6 9.7 31.3
1919 CLE Steve O'Neill 465 170 399 170 0.366 0.426 0.792 0.305 0.338 0.644 0.335 0.382 0.718 0.681 14.1 17.9 31.9 1.02 13.8 17.6 31.3
1946 DET George Kell 477 172 434 191 0.361 0.440 0.801 0.311 0.351 0.662 0.336 0.396 0.731 0.687 11.3 20.4 31.6 1.02 11.2 20.2 31.3
2017 HOU Marwin Gonzalez 515 193 455 241 0.375 0.530 0.904 0.335 0.441 0.776 0.355 0.485 0.840 0.752 10.3 20.2 30.5 0.95 10.6 20.7 31.3
2019 MIN Miguel Sano 439 152 380 219 0.346 0.576 0.923 0.320 0.439 0.759 0.333 0.508 0.841 0.761 5.8 26.0 31.8 0.99 5.7 25.6 31.3
1956 NYA Gil McDougald 518 207 438 195 0.400 0.445 0.845 0.325 0.386 0.711 0.362 0.416 0.778 0.731 19.4 12.5 31.9 0.98 19.0 12.3 31.3
1931 NYA Lyn Lary 711 264 610 255 0.371 0.418 0.789 0.328 0.373 0.700 0.350 0.395 0.745 0.735 15.5 13.6 29.1 0.96 16.7 14.6 31.3
1989 OAK Carney Lansford 616 245 551 223 0.398 0.405 0.802 0.318 0.379 0.697 0.358 0.392 0.750 0.707 24.6 7.1 31.6 0.98 24.4 7.0 31.3
Total 10910 4078 9527 4500 276.9 364.2 640.4 271.3 356.4 627.0

*** 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).