Batters



Reset All Picks
Showing page 150 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
1940 NY1 Harry Danning 566 197 524 237 0.348 0.452 0.800 0.310 0.358 0.668 0.329 0.405 0.734 0.697 10.7 25.2 36.0 1.00 10.8 25.3 36.2
2012 SFN Melky Cabrera 501 195 459 237 0.389 0.516 0.906 0.330 0.416 0.746 0.360 0.466 0.826 0.715 14.8 23.3 38.2 0.96 14.0 22.1 36.2
1966 SLN Orlando Cepeda 509 184 452 212 0.361 0.469 0.831 0.300 0.377 0.677 0.331 0.423 0.754 0.693 15.7 19.2 34.9 0.98 16.3 19.9 36.2
2019 WAS Howie Kendrick 370 146 334 191 0.395 0.572 0.966 0.321 0.433 0.754 0.358 0.502 0.860 0.752 13.6 22.8 36.5 1.01 13.5 22.6 36.2
1930 WS1 Heinie Manush 393 155 356 199 0.394 0.559 0.953 0.357 0.451 0.808 0.376 0.505 0.881 0.763 11.6 24.9 36.4 1.01 11.5 24.8 36.2
2018 ANA Shohei Ohtani 367 132 326 184 0.360 0.564 0.924 0.310 0.402 0.712 0.335 0.483 0.818 0.733 9.3 26.1 35.3 0.97 9.5 26.7 36.1
1985 ATL Bob Horner 540 180 483 241 0.333 0.499 0.832 0.304 0.371 0.675 0.319 0.435 0.754 0.689 7.9 30.9 38.8 1.05 7.4 28.7 36.1
2022 ATL Matt Olson 699 227 616 294 0.325 0.477 0.802 0.306 0.382 0.688 0.315 0.430 0.745 0.711 6.7 29.5 36.2 1.00 6.7 29.4 36.1
1910 BOS Jake Stahl 598 190 532 222 0.318 0.417 0.735 0.287 0.311 0.598 0.303 0.364 0.667 0.613 9.0 28.4 37.4 1.04 8.7 27.4 36.1
1976 BOS Jim Rice 624 196 581 280 0.314 0.482 0.796 0.307 0.347 0.653 0.310 0.414 0.725 0.677 2.3 39.3 41.6 1.09 2.0 34.1 36.1
1946 BOS Rudy York 669 247 579 253 0.369 0.437 0.806 0.306 0.340 0.646 0.338 0.389 0.726 0.687 21.3 28.0 49.2 1.11 15.6 20.6 36.1
2022 BOS Xander Bogaerts 631 238 557 254 0.377 0.456 0.833 0.309 0.398 0.707 0.343 0.427 0.770 0.700 21.6 16.3 37.9 1.03 20.6 15.5 36.1
1919 BRO Hi Myers 559 182 512 223 0.326 0.436 0.761 0.293 0.331 0.624 0.309 0.383 0.692 0.639 9.1 27.0 36.0 1.00 9.1 27.1 36.1
1914 BRO Jack Dalton 515 197 442 173 0.383 0.391 0.774 0.301 0.328 0.629 0.342 0.360 0.702 0.641 20.9 14.0 34.9 0.98 21.6 14.5 36.1
2003 FLO Mike Lowell 557 195 492 261 0.350 0.530 0.881 0.321 0.418 0.739 0.335 0.474 0.810 0.745 8.3 27.0 35.4 0.98 8.5 27.5 36.1
2023 HOU Jose Altuve 410 161 360 188 0.393 0.522 0.915 0.312 0.413 0.724 0.352 0.467 0.820 0.728 16.6 20.3 36.8 0.99 16.3 19.9 36.1
1996 LAN Raul Mondesi 673 225 634 314 0.334 0.495 0.830 0.317 0.406 0.723 0.326 0.451 0.776 0.735 5.8 28.2 34.0 0.96 6.2 29.9 36.1
2000 MON Jose Vidro 663 251 606 327 0.379 0.540 0.918 0.352 0.445 0.797 0.365 0.492 0.858 0.770 8.9 28.2 37.2 1.01 8.6 27.4 36.1
1939 NYA Bill Dickey 565 226 480 246 0.400 0.513 0.913 0.359 0.426 0.785 0.380 0.469 0.849 0.752 11.5 21.0 32.5 0.96 12.8 23.3 36.1
1982 SFN Joe Morgan 554 221 463 203 0.399 0.438 0.837 0.323 0.368 0.691 0.361 0.403 0.764 0.688 20.9 16.1 37.1 0.97 20.3 15.7 36.1
No results found.

*** 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).