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Showing page 184 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
1961 CLE Jim Piersall 536 201 484 214 0.375 0.442 0.817 0.313 0.382 0.695 0.344 0.412 0.756 0.720 16.7 14.3 31.0 0.98 17.2 14.7 31.9
1992 DET Lou Whitaker 544 208 453 209 0.382 0.461 0.844 0.328 0.380 0.708 0.355 0.421 0.776 0.711 14.8 18.5 33.2 1.01 14.2 17.8 31.9
1984 MIL Robin Yount 702 254 624 275 0.362 0.441 0.803 0.315 0.392 0.707 0.338 0.416 0.755 0.722 16.5 15.3 31.8 1.00 16.6 15.3 31.9
1978 MIL Sal Bando 629 232 540 237 0.369 0.439 0.808 0.314 0.382 0.696 0.341 0.410 0.752 0.707 17.2 15.6 32.9 1.03 16.7 15.1 31.9
2009 NYA Robinson Cano 674 237 637 331 0.352 0.520 0.871 0.337 0.435 0.772 0.344 0.477 0.822 0.762 4.8 27.0 32.0 1.00 4.8 26.9 31.9
2001 OAK Eric Chavez 604 204 552 298 0.338 0.540 0.878 0.338 0.427 0.765 0.338 0.483 0.821 0.760 -0.1 31.2 31.1 0.99 -0.1 32.0 31.9
2021 PHI Rhys Hoskins 443 148 389 206 0.334 0.530 0.864 0.306 0.401 0.707 0.320 0.465 0.786 0.723 6.2 25.0 31.2 0.98 6.3 25.6 31.9
1942 SLN Terry Moore 559 199 489 190 0.356 0.389 0.745 0.296 0.328 0.624 0.326 0.358 0.684 0.656 16.8 14.8 31.5 0.99 17.0 15.0 31.9
2006 ANA Juan Rivera 494 179 448 235 0.362 0.525 0.887 0.329 0.419 0.748 0.346 0.472 0.818 0.775 8.2 23.6 31.8 1.00 8.2 23.6 31.8
2023 ARI Christian Walker 661 220 582 289 0.333 0.497 0.829 0.316 0.411 0.727 0.324 0.454 0.778 0.739 5.6 24.4 30.0 0.98 5.9 25.9 31.8
1990 ATL David Justice 504 188 439 235 0.373 0.535 0.908 0.332 0.397 0.729 0.353 0.466 0.819 0.700 10.2 30.4 40.5 1.08 8.0 23.9 31.8
1986 BAL Cal Ripken 707 251 627 289 0.355 0.461 0.816 0.318 0.402 0.719 0.336 0.431 0.768 0.735 13.1 18.7 31.8 1.00 13.1 18.7 31.8
1915 CHA Eddie Murphy 321 130 273 107 0.405 0.392 0.797 0.342 0.351 0.693 0.374 0.372 0.745 0.640 17.6 14.3 31.9 1.00 17.5 14.3 31.8
1923 CHA Johnny Mostil 645 234 548 235 0.363 0.429 0.792 0.318 0.366 0.684 0.341 0.397 0.738 0.728 14.3 17.2 31.4 1.00 14.5 17.4 31.8
2018 CIN Scooter Gennett 638 227 584 286 0.356 0.490 0.846 0.326 0.408 0.734 0.341 0.449 0.790 0.720 9.4 23.8 33.2 1.06 9.0 22.8 31.8
2014 CIN Todd Frazier 660 222 597 274 0.336 0.459 0.795 0.304 0.384 0.687 0.320 0.421 0.741 0.691 10.8 22.9 33.6 1.01 10.2 21.7 31.8
1979 CLE Bobby Bonds 631 230 538 249 0.365 0.463 0.827 0.315 0.390 0.705 0.340 0.426 0.766 0.739 15.6 19.8 35.5 1.05 14.0 17.7 31.8
1940 CLE Lou Boudreau 706 260 627 278 0.368 0.443 0.812 0.327 0.394 0.721 0.347 0.419 0.766 0.745 14.7 15.5 30.2 0.96 15.5 16.3 31.8
1967 DET Norm Cash 577 203 488 210 0.352 0.430 0.782 0.304 0.353 0.657 0.328 0.392 0.720 0.651 13.9 18.7 32.5 1.04 13.6 18.3 31.8
2004 HOU Jeff Bagwell 679 256 572 266 0.377 0.465 0.842 0.317 0.415 0.733 0.347 0.440 0.787 0.752 20.1 15.8 35.9 1.04 17.8 14.0 31.8
Total 11914 4283 10491 4913 246.4 406.8 653.0 240.0 397.0 636.8

*** 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).