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Showing page 187 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 LAA Steve Bilko 354 140 294 160 0.395 0.544 0.940 0.322 0.388 0.710 0.359 0.466 0.825 0.720 12.9 23.0 35.9 1.08 11.4 20.2 31.6
2024 MIL Willy Adames 688 228 610 282 0.331 0.462 0.794 0.303 0.394 0.696 0.317 0.428 0.745 0.718 9.8 20.5 30.4 0.98 10.2 21.3 31.6
1952 SLN Enos Slaughter 587 224 510 227 0.382 0.445 0.827 0.332 0.379 0.711 0.357 0.412 0.769 0.693 14.5 17.1 31.7 1.01 14.5 17.0 31.6
1915 SLN Frank Snyder 522 182 472 183 0.349 0.388 0.736 0.293 0.320 0.613 0.321 0.354 0.674 0.630 14.6 15.9 30.5 0.99 15.1 16.5 31.6
2005 TBA Jonny Gomes 407 151 348 186 0.371 0.534 0.905 0.320 0.425 0.745 0.345 0.480 0.825 0.753 10.3 20.1 30.4 0.99 10.7 20.9 31.6
2012 ANA Torii Hunter 584 213 534 241 0.365 0.451 0.816 0.307 0.401 0.708 0.336 0.426 0.762 0.729 16.7 13.3 29.9 0.95 17.6 14.0 31.5
1965 BAL Curt Blefary 561 211 462 217 0.376 0.470 0.846 0.325 0.389 0.715 0.351 0.429 0.780 0.676 14.3 18.6 32.9 1.04 13.7 17.8 31.5
1911 BSN Doc Miller 634 236 578 255 0.372 0.441 0.813 0.339 0.370 0.709 0.356 0.405 0.761 0.682 11.1 21.1 32.3 1.02 10.8 20.6 31.5
1914 DET George Burns 545 185 480 186 0.339 0.388 0.727 0.288 0.306 0.594 0.314 0.347 0.660 0.633 14.0 19.2 33.3 1.03 13.2 18.2 31.5
1930 DET Marty McManus 561 216 484 230 0.385 0.475 0.860 0.328 0.401 0.730 0.357 0.438 0.795 0.763 15.8 18.3 34.1 1.06 14.6 16.9 31.5
1999 HOU Craig Biggio 749 287 639 292 0.383 0.457 0.840 0.332 0.422 0.754 0.358 0.440 0.797 0.768 19.2 11.5 30.7 0.97 19.7 11.8 31.5
2017 MIA Justin Bour 429 157 377 202 0.366 0.536 0.902 0.333 0.424 0.757 0.349 0.480 0.829 0.746 7.1 21.6 28.6 0.93 7.8 23.8 31.5
1974 MIL George Scott 672 232 604 261 0.345 0.432 0.777 0.311 0.365 0.676 0.328 0.399 0.726 0.691 11.8 19.8 31.5 1.00 11.8 19.8 31.5
1976 MIN Dan Ford 571 183 514 235 0.320 0.457 0.778 0.307 0.352 0.659 0.314 0.405 0.719 0.677 3.7 27.3 31.0 0.99 3.8 27.7 31.5
1963 MIN Jimmie Hall 571 192 497 259 0.336 0.521 0.857 0.329 0.404 0.733 0.333 0.463 0.795 0.688 2.0 29.1 31.1 0.99 2.0 29.5 31.5
2010 NYA Alex Rodriguez 595 203 522 264 0.341 0.506 0.847 0.315 0.406 0.722 0.328 0.456 0.784 0.732 7.7 25.8 33.5 1.03 7.2 24.3 31.5
1993 NYA Danny Tartabull 611 222 513 258 0.363 0.503 0.866 0.332 0.409 0.741 0.348 0.456 0.804 0.742 9.8 23.8 33.5 0.96 9.2 22.4 31.5
1996 NYN Lance Johnson 724 261 682 327 0.360 0.479 0.840 0.332 0.405 0.737 0.346 0.442 0.788 0.735 10.2 25.3 35.6 0.95 9.0 22.4 31.5
1948 PHA Hank Majeski 645 236 590 269 0.366 0.456 0.822 0.337 0.376 0.713 0.351 0.416 0.767 0.726 9.5 23.5 33.0 1.07 9.1 22.4 31.5
2010 PIT Andrew McCutchen 653 238 570 256 0.364 0.449 0.814 0.313 0.396 0.709 0.339 0.422 0.761 0.720 16.6 14.9 31.5 1.00 16.6 14.9 31.5
Total 11663 4197 10280 4790 231.6 409.7 641.4 228.0 402.4 630.5

*** 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).