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Showing page 199 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
1930 NY1 Travis Jackson 482 180 431 228 0.373 0.529 0.902 0.338 0.431 0.769 0.356 0.480 0.836 0.799 8.6 21.5 30.1 0.99 8.7 21.7 30.4
1910 PHA Bris Lord 318 102 280 116 0.321 0.414 0.735 0.286 0.310 0.596 0.303 0.362 0.665 0.613 9.3 20.9 30.3 1.00 9.3 21.0 30.4
1920 PHA Joe Dugan 521 180 491 217 0.345 0.442 0.787 0.312 0.357 0.669 0.329 0.400 0.728 0.723 8.8 20.8 29.6 0.98 9.0 21.4 30.4
1989 SDN Chris James 331 103 303 130 0.311 0.429 0.740 0.288 0.352 0.640 0.299 0.391 0.690 0.674 9.7 22.0 31.6 1.02 9.3 21.2 30.4
1975 SLN Reggie Smith 550 210 477 233 0.382 0.488 0.870 0.342 0.396 0.739 0.362 0.442 0.805 0.691 10.8 22.1 32.9 1.03 10.0 20.4 30.4
1995 TEX Will Clark 537 209 454 218 0.389 0.480 0.869 0.341 0.408 0.749 0.365 0.444 0.809 0.769 13.0 16.6 29.6 0.99 13.4 17.0 30.4
2009 TOR Aaron Hill 734 242 682 340 0.330 0.499 0.828 0.323 0.416 0.738 0.326 0.457 0.783 0.762 2.6 27.9 30.4 1.00 2.6 27.9 30.4
1914 WS1 Eddie Foster 688 237 619 216 0.344 0.349 0.693 0.292 0.308 0.601 0.318 0.329 0.647 0.633 18.0 12.4 30.4 1.00 18.0 12.4 30.4
2014 ANA Albert Pujols 695 225 633 295 0.324 0.466 0.790 0.307 0.395 0.702 0.315 0.430 0.746 0.704 5.7 22.7 28.4 0.96 6.1 24.2 30.3
1914 BUF William Louden 502 187 430 172 0.373 0.400 0.773 0.300 0.335 0.635 0.336 0.368 0.704 0.675 18.3 13.8 31.9 1.03 17.4 13.1 30.3
1924 CHA Eddie Collins 678 288 556 253 0.425 0.455 0.880 0.366 0.424 0.790 0.395 0.440 0.835 0.743 20.0 8.7 28.8 0.99 21.0 9.2 30.3
1958 CHN Bobby Thomson 614 214 547 255 0.349 0.466 0.815 0.312 0.398 0.710 0.330 0.432 0.762 0.729 11.3 18.7 29.9 1.03 11.5 18.9 30.3
1986 CHN Gary Matthews 432 156 370 177 0.361 0.478 0.839 0.303 0.371 0.674 0.332 0.425 0.757 0.698 12.5 19.7 32.2 1.03 11.8 18.5 30.3
1958 CHN Walt Moryn 587 205 512 253 0.349 0.494 0.843 0.338 0.404 0.742 0.344 0.449 0.793 0.729 3.3 23.0 26.3 0.97 3.8 26.5 30.3
1918 CLE Tris Speaker 553 217 475 206 0.392 0.434 0.826 0.335 0.342 0.677 0.364 0.388 0.751 0.635 15.8 21.7 37.5 1.07 12.8 17.5 30.3
2019 HOU Michael Brantley 637 237 575 289 0.372 0.503 0.875 0.328 0.443 0.771 0.350 0.473 0.823 0.761 13.9 16.7 30.7 1.02 13.7 16.5 30.3
2015 KCA Kendrys Morales 639 231 569 276 0.362 0.485 0.847 0.324 0.420 0.744 0.343 0.452 0.795 0.728 12.0 18.8 30.7 1.02 11.8 18.6 30.3
2022 LAN Trea Turner 708 242 652 304 0.342 0.466 0.808 0.312 0.404 0.716 0.327 0.435 0.762 0.711 10.6 20.0 30.6 1.02 10.5 19.8 30.3
1933 NY1 Johnny Vergez 508 166 459 205 0.327 0.447 0.773 0.301 0.349 0.650 0.314 0.398 0.712 0.673 6.7 22.3 29.0 0.98 7.0 23.3 30.3
1996 OAK Geronimo Berroa 643 221 586 312 0.344 0.532 0.876 0.336 0.438 0.774 0.340 0.485 0.825 0.793 2.5 27.7 30.3 1.00 2.5 27.7 30.3
Total 11357 4052 10101 4695 213.4 398.0 611.2 210.2 396.8 606.8

*** 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).