Batters



Reset All Picks
Showing page 200 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
1927 PHI Cy Williams 569 205 492 247 0.360 0.502 0.862 0.340 0.401 0.741 0.350 0.452 0.802 0.714 6.0 24.5 30.5 1.01 6.0 24.3 30.3
1910 PIT Bobby Byrne 679 245 601 251 0.361 0.418 0.778 0.314 0.335 0.649 0.337 0.376 0.714 0.657 15.5 23.8 39.3 1.09 12.0 18.3 30.3
1925 PIT Max Carey 620 256 542 266 0.413 0.491 0.904 0.357 0.432 0.788 0.385 0.461 0.846 0.754 17.4 15.9 33.3 1.04 15.8 14.5 30.3
1984 SDN Kevin McReynolds 571 180 525 244 0.315 0.465 0.780 0.305 0.366 0.672 0.310 0.415 0.726 0.685 2.9 26.0 28.9 0.98 3.0 27.3 30.3
2009 SDN Scott Hairston 216 77 197 105 0.356 0.533 0.889 0.314 0.401 0.715 0.335 0.467 0.802 0.735 9.1 19.4 28.5 0.95 9.7 20.6 30.3
2023 SEA Julio Rodriguez 714 238 654 317 0.333 0.485 0.818 0.314 0.414 0.728 0.324 0.449 0.773 0.728 6.9 22.9 29.8 0.96 7.0 23.3 30.3
2012 SFN Marco Scutaro 268 101 243 115 0.377 0.473 0.850 0.318 0.415 0.732 0.347 0.444 0.791 0.715 12.7 15.6 28.3 0.96 13.6 16.7 30.3
1953 SLA Vic Wertz 519 195 440 205 0.376 0.466 0.842 0.331 0.371 0.702 0.353 0.418 0.772 0.715 11.6 21.3 32.9 1.05 10.7 19.6 30.3
2025 SLN Ivan Herrera 452 168 388 180 0.372 0.464 0.836 0.302 0.392 0.694 0.337 0.428 0.765 0.718 15.9 14.0 29.9 0.98 16.1 14.2 30.3
1918 SLN Rogers Hornsby 465 160 415 173 0.344 0.417 0.761 0.293 0.326 0.619 0.319 0.371 0.690 0.629 11.8 18.9 30.7 0.99 11.6 18.7 30.3
1941 SLN Terry Moore 557 200 493 197 0.359 0.400 0.759 0.304 0.339 0.643 0.331 0.369 0.701 0.682 15.4 14.8 30.2 1.01 15.5 14.8 30.3
2023 TOR Bo Bichette 601 204 571 271 0.339 0.475 0.814 0.307 0.402 0.709 0.323 0.438 0.761 0.728 9.9 20.4 30.3 0.99 9.9 20.4 30.3
1920 CHN Dave Robertson 555 191 499 231 0.344 0.463 0.807 0.323 0.366 0.690 0.334 0.415 0.748 0.670 5.9 24.3 30.2 1.02 5.9 24.3 30.2
1983 CIN Gary Redus 531 186 453 201 0.350 0.444 0.794 0.303 0.366 0.670 0.327 0.405 0.732 0.694 12.4 17.6 30.0 1.04 12.5 17.7 30.2
1979 CIN Ray Knight 604 216 551 250 0.358 0.454 0.811 0.317 0.390 0.707 0.337 0.422 0.759 0.705 12.3 17.8 30.1 0.99 12.3 17.9 30.2
2008 CLE Grady Sizemore 745 279 634 318 0.374 0.502 0.876 0.338 0.422 0.761 0.356 0.462 0.818 0.754 13.5 24.5 38.0 1.05 10.7 19.5 30.2
1959 KC1 Roger Maris 499 180 433 201 0.361 0.464 0.825 0.321 0.366 0.688 0.341 0.415 0.756 0.703 9.7 20.7 30.4 1.01 9.6 20.6 30.2
1975 KCA George Brett 697 243 634 289 0.349 0.456 0.804 0.332 0.382 0.714 0.340 0.419 0.759 0.703 5.8 23.3 29.2 0.99 6.0 24.1 30.2
2012 MIL Corey Hart 622 207 562 285 0.333 0.507 0.840 0.312 0.405 0.717 0.323 0.456 0.779 0.715 6.3 29.2 35.4 1.05 5.4 24.9 30.2
2010 MIN Delmon Young 613 204 570 281 0.333 0.493 0.826 0.321 0.402 0.723 0.327 0.448 0.774 0.732 3.9 26.1 29.8 0.99 4.0 26.4 30.2
Total 11097 3935 9897 4627 204.9 421.0 625.7 197.3 408.1 605.2

*** 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).