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Showing page 179 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 MON Tim Wallach 645 200 596 281 0.310 0.471 0.782 0.304 0.370 0.675 0.307 0.421 0.728 0.688 2.0 30.2 32.2 1.01 2.0 30.5 32.5
1923 NY1 Irish Meusel 648 215 596 285 0.332 0.478 0.810 0.323 0.378 0.701 0.328 0.428 0.756 0.730 2.8 29.8 32.6 1.01 2.8 29.7 32.5
1978 NYA Graig Nettles 662 227 587 270 0.343 0.460 0.803 0.319 0.370 0.690 0.331 0.415 0.746 0.707 7.8 26.0 33.7 1.02 7.5 25.1 32.5
2018 NYA Miguel Andujar 606 199 573 302 0.328 0.527 0.855 0.314 0.420 0.733 0.321 0.473 0.794 0.733 4.4 31.0 35.3 1.05 4.1 28.5 32.5
1967 PIT Matty Alou 584 216 550 227 0.370 0.413 0.783 0.309 0.354 0.663 0.339 0.384 0.723 0.669 17.9 16.3 34.3 1.04 17.0 15.4 32.5
1968 SLN Lou Brock 712 233 660 276 0.327 0.418 0.745 0.302 0.348 0.649 0.314 0.383 0.697 0.637 9.2 23.1 32.4 0.96 9.2 23.2 32.5
2006 TEX Mark Teixeira 727 270 628 323 0.371 0.514 0.886 0.346 0.439 0.784 0.358 0.476 0.835 0.775 9.3 23.1 32.5 0.99 9.3 23.1 32.5
2022 ARI Christian Walker 667 218 583 278 0.327 0.477 0.804 0.304 0.389 0.693 0.315 0.433 0.748 0.711 7.8 25.1 32.9 0.99 7.7 24.7 32.4
1980 BOS Dwight Evans 542 192 463 224 0.354 0.484 0.838 0.315 0.384 0.699 0.334 0.434 0.768 0.727 10.8 22.8 33.5 1.02 10.4 22.1 32.4
1913 BRO Jake Daubert 572 226 508 216 0.395 0.425 0.820 0.326 0.360 0.686 0.360 0.393 0.753 0.671 20.5 16.9 37.4 1.07 17.8 14.6 32.4
1923 BRO Jimmy Johnston 693 256 625 266 0.369 0.426 0.795 0.321 0.374 0.695 0.345 0.400 0.745 0.730 16.7 16.6 33.4 1.00 16.2 16.1 32.4
1966 CAL Joe Adcock 265 94 231 133 0.355 0.576 0.930 0.301 0.361 0.662 0.328 0.468 0.796 0.671 7.1 24.8 32.0 0.97 7.2 25.1 32.4
1933 CHN Riggs Stephenson 388 153 346 151 0.394 0.436 0.831 0.300 0.352 0.652 0.347 0.394 0.741 0.673 18.3 14.2 32.5 0.98 18.2 14.2 32.4
1970 CHN Ron Santo 655 241 555 264 0.368 0.476 0.844 0.323 0.393 0.716 0.345 0.434 0.780 0.718 14.8 22.4 37.3 1.12 12.9 19.4 32.4
1959 CIN Johnny Temple 696 260 598 258 0.374 0.431 0.805 0.312 0.396 0.708 0.343 0.413 0.756 0.721 21.6 10.9 32.3 1.00 21.7 10.9 32.4
1970 CIN Pete Rose 730 280 649 305 0.384 0.470 0.854 0.346 0.411 0.757 0.365 0.441 0.805 0.718 13.8 19.2 32.9 1.01 13.6 18.9 32.4
1970 DET Willie Horton 404 143 371 186 0.354 0.501 0.855 0.310 0.380 0.690 0.332 0.441 0.773 0.697 8.9 22.2 31.2 0.99 9.2 23.1 32.4
2009 HOU Carlos Lee 662 227 610 298 0.343 0.489 0.831 0.317 0.415 0.732 0.330 0.452 0.782 0.735 8.7 22.5 31.1 0.99 9.1 23.4 32.4
2021 HOU Yuli Gurriel 605 232 530 245 0.383 0.462 0.846 0.318 0.418 0.737 0.351 0.440 0.791 0.730 19.6 11.8 31.5 0.98 20.2 12.1 32.4
1960 KC1 Norm Siebern 604 221 520 245 0.366 0.471 0.837 0.334 0.386 0.720 0.350 0.429 0.779 0.711 9.7 22.5 32.2 0.99 9.8 22.6 32.4
Total 12067 4303 10779 5033 231.7 431.4 663.2 225.9 422.7 648.7

*** 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).