Batters



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Showing page 183 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
2004 CHA Aaron Rowand 534 191 487 265 0.358 0.544 0.902 0.330 0.439 0.769 0.344 0.492 0.836 0.769 7.3 25.8 33.2 1.04 7.0 24.9 32.0
2004 CHA Paul Konerko 643 231 563 301 0.359 0.535 0.894 0.328 0.437 0.765 0.344 0.486 0.830 0.769 10.0 27.2 37.1 1.04 8.6 23.5 32.0
2008 CHN Geovany Soto 563 205 494 249 0.364 0.504 0.868 0.322 0.419 0.741 0.343 0.461 0.804 0.740 12.0 20.9 32.9 1.02 11.7 20.3 32.0
1910 CIN Dode Paskert 597 227 507 189 0.380 0.373 0.753 0.311 0.326 0.637 0.346 0.350 0.695 0.657 20.8 10.8 31.5 1.00 21.1 11.0 32.0
1915 CIN Tommy Griffith 649 222 584 254 0.342 0.435 0.777 0.314 0.356 0.670 0.328 0.396 0.723 0.630 9.2 22.9 32.1 1.00 9.2 22.8 32.0
1973 HOU Lee May 590 183 545 261 0.310 0.479 0.789 0.307 0.365 0.672 0.309 0.422 0.730 0.694 0.9 31.4 32.3 0.98 0.9 31.1 32.0
1978 MIL Sixto Lezcano 519 194 442 203 0.374 0.459 0.833 0.312 0.378 0.690 0.343 0.419 0.762 0.707 16.0 18.1 34.0 1.02 15.1 17.0 32.0
2024 MIN Carlos Correa 367 142 319 165 0.387 0.517 0.904 0.307 0.402 0.710 0.347 0.460 0.807 0.703 14.6 19.2 33.9 1.05 13.8 18.1 32.0
2017 NYA Gary Sanchez 525 181 471 250 0.345 0.531 0.876 0.317 0.425 0.742 0.331 0.478 0.809 0.752 7.4 24.9 32.3 1.02 7.3 24.7 32.0
1930 PHA Mickey Cochrane 561 230 487 256 0.410 0.526 0.936 0.362 0.446 0.809 0.386 0.486 0.872 0.763 13.4 18.9 32.4 1.01 13.2 18.7 32.0
2025 PHI Bryce Harper 580 207 501 244 0.357 0.487 0.844 0.316 0.399 0.715 0.336 0.443 0.779 0.718 12.1 22.2 34.2 1.02 11.3 20.8 32.0
2006 PHI Pat Burrell 567 220 462 232 0.388 0.502 0.890 0.333 0.434 0.767 0.361 0.468 0.829 0.757 15.5 16.8 32.2 1.01 15.4 16.7 32.0
1961 PIT Don Hoak 586 226 503 227 0.386 0.451 0.837 0.312 0.400 0.712 0.349 0.426 0.775 0.728 21.6 12.7 34.2 1.03 20.2 11.9 32.0
1976 SDN Dave Winfield 567 207 492 212 0.365 0.431 0.796 0.305 0.355 0.660 0.335 0.393 0.728 0.677 16.9 19.1 36.1 0.95 15.0 16.9 32.0
1999 TBA Jose Canseco 502 185 430 242 0.369 0.563 0.931 0.338 0.441 0.779 0.353 0.502 0.855 0.784 7.8 26.1 34.0 0.97 7.3 24.6 32.0
2012 WAS Bryce Harper 597 202 533 254 0.338 0.477 0.815 0.313 0.385 0.698 0.326 0.431 0.757 0.715 7.6 24.9 32.3 1.01 7.5 24.7 32.0
1939 BRO Cookie Lavagetto 678 259 587 244 0.382 0.416 0.798 0.322 0.376 0.697 0.352 0.396 0.747 0.713 20.6 12.1 32.7 1.02 20.1 11.8 31.9
1936 BSN Tony Cuccinello 641 234 565 227 0.365 0.402 0.767 0.306 0.353 0.659 0.336 0.377 0.713 0.717 18.9 13.8 32.6 0.97 18.5 13.5 31.9
1996 CHN Mark Grace 616 244 547 249 0.396 0.455 0.851 0.333 0.407 0.740 0.364 0.431 0.796 0.735 19.5 13.1 32.6 1.03 19.1 12.8 31.9
1910 CIN Mike Mitchell 667 231 582 235 0.346 0.404 0.750 0.311 0.327 0.638 0.329 0.365 0.694 0.657 10.7 20.2 31.1 1.00 11.0 20.7 31.9
Total 11549 4221 10101 4759 262.8 401.1 663.7 253.3 386.5 639.6

*** 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).