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Showing page 197 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
1948 DET Hoot Evers 605 223 538 244 0.369 0.454 0.822 0.341 0.372 0.714 0.355 0.413 0.768 0.726 8.3 21.8 30.2 0.97 8.4 22.1 30.6
2003 FLO Ivan Rodriguez 578 213 511 242 0.369 0.474 0.842 0.321 0.418 0.740 0.345 0.446 0.791 0.745 13.8 14.6 28.3 0.97 14.9 15.8 30.6
1996 HOU Craig Biggio 723 276 605 251 0.382 0.415 0.797 0.313 0.399 0.712 0.347 0.407 0.754 0.735 25.1 4.8 29.9 0.97 25.7 4.9 30.6
2021 LAN Mookie Betts 550 202 466 227 0.367 0.487 0.854 0.314 0.418 0.731 0.340 0.452 0.793 0.723 14.7 16.3 31.0 1.02 14.5 16.1 30.6
2018 MIA J. T. Realmuto 531 180 477 231 0.339 0.484 0.823 0.303 0.400 0.703 0.321 0.442 0.763 0.720 9.6 20.8 30.4 0.96 9.7 20.9 30.6
1977 MIL Don Money 644 223 570 268 0.346 0.470 0.816 0.314 0.404 0.717 0.330 0.437 0.767 0.732 10.6 19.1 29.7 0.99 10.9 19.7 30.6
1979 MON Gary Carter 559 188 505 245 0.336 0.485 0.821 0.313 0.387 0.699 0.324 0.436 0.760 0.705 6.6 25.1 31.7 1.02 6.4 24.2 30.6
1957 NY1 Hank Sauer 428 146 378 192 0.341 0.508 0.849 0.305 0.388 0.693 0.323 0.448 0.771 0.719 7.6 22.5 30.1 1.01 7.7 22.9 30.6
1986 NYA Rickey Henderson 701 251 608 285 0.358 0.469 0.827 0.323 0.408 0.730 0.340 0.438 0.778 0.735 12.5 17.8 30.3 1.05 12.6 18.0 30.6
1996 OAK Scott Brosius 500 196 428 221 0.392 0.516 0.908 0.335 0.440 0.775 0.364 0.478 0.842 0.793 14.2 16.4 30.6 1.00 14.2 16.4 30.6
1927 PHA Jimmy Dykes 482 184 419 190 0.382 0.453 0.835 0.327 0.383 0.710 0.355 0.418 0.773 0.739 13.2 15.4 28.7 0.96 14.1 16.4 30.6
1942 PIT Elbie Fletcher 623 257 506 199 0.413 0.393 0.806 0.338 0.369 0.707 0.375 0.381 0.756 0.656 23.4 6.2 29.4 0.99 24.3 6.5 30.6
1915 PTF Mike Mowrey 613 218 521 189 0.356 0.363 0.718 0.293 0.323 0.616 0.324 0.343 0.667 0.651 19.1 11.1 30.3 0.99 19.3 11.2 30.6
1942 SLN Stan Musial 536 211 467 229 0.394 0.490 0.884 0.348 0.391 0.740 0.371 0.441 0.812 0.656 12.2 23.6 35.9 1.08 10.4 20.1 30.6
1957 SLN Wally Moon 586 215 516 262 0.367 0.508 0.875 0.335 0.419 0.754 0.351 0.463 0.814 0.719 9.3 23.1 32.5 1.04 8.8 21.7 30.6
1977 BOS George Scott 653 220 584 292 0.337 0.500 0.837 0.315 0.395 0.711 0.326 0.448 0.774 0.732 7.1 30.7 37.8 1.09 5.7 24.8 30.5
1922 BRO Zack Wheat 660 253 600 302 0.383 0.503 0.887 0.355 0.425 0.779 0.369 0.464 0.833 0.743 9.6 24.3 33.9 1.04 8.6 21.9 30.5
1989 CHN Dwight Smith 381 144 343 169 0.378 0.493 0.871 0.318 0.365 0.683 0.348 0.429 0.777 0.674 11.5 21.6 33.2 1.05 10.6 19.8 30.5
2007 CIN Ken Griffey 623 232 528 262 0.372 0.496 0.869 0.334 0.416 0.750 0.353 0.456 0.809 0.753 12.0 21.1 33.1 1.04 11.1 19.4 30.5
1979 CLE Toby Harrah 635 244 527 234 0.384 0.444 0.828 0.317 0.393 0.710 0.351 0.419 0.769 0.739 21.2 12.8 34.2 1.05 18.9 11.4 30.5
Total 11611 4276 10097 4734 261.6 369.1 631.2 256.8 354.2 611.5

*** 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).