Batters



Reset All Picks
Showing page 195 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
1923 NY1 George Kelly 617 220 560 253 0.357 0.452 0.808 0.323 0.379 0.702 0.340 0.415 0.755 0.730 10.2 21.1 31.3 1.02 10.0 20.8 30.8
1931 PHI Buzz Arlett 469 181 418 225 0.386 0.538 0.924 0.345 0.415 0.760 0.366 0.477 0.842 0.716 9.5 25.6 35.2 1.11 8.3 22.4 30.8
1912 PHI Sherry Magee 555 204 464 203 0.368 0.438 0.805 0.322 0.355 0.677 0.345 0.396 0.741 0.700 12.8 19.1 31.9 1.01 12.4 18.4 30.8
2014 PIT Starling Marte 545 194 495 224 0.356 0.453 0.808 0.304 0.390 0.694 0.330 0.421 0.751 0.691 14.3 15.8 30.1 0.97 14.6 16.2 30.8
1924 SLA Marty McManus 517 203 443 194 0.393 0.438 0.831 0.333 0.369 0.701 0.363 0.403 0.766 0.743 15.5 15.8 31.3 1.01 15.3 15.5 30.8
1943 SLN Whitey Kurowski 565 182 522 229 0.322 0.439 0.761 0.308 0.337 0.644 0.315 0.388 0.703 0.666 4.0 26.9 30.8 1.00 4.0 26.9 30.8
2003 TEX Rafael Palmeiro 654 235 561 285 0.359 0.508 0.867 0.332 0.413 0.745 0.346 0.460 0.806 0.759 9.0 26.5 35.6 1.06 7.8 22.9 30.8
1986 ATL Bob Horner 581 195 517 244 0.336 0.472 0.808 0.303 0.376 0.680 0.319 0.424 0.744 0.698 9.4 24.7 34.1 1.02 8.5 22.2 30.7
1988 ATL Ron Gant 618 195 563 247 0.316 0.439 0.754 0.288 0.359 0.647 0.302 0.399 0.701 0.669 8.3 22.6 31.1 1.04 8.2 22.3 30.7
1918 BOS Harry Hooper 564 212 473 192 0.376 0.406 0.782 0.331 0.343 0.674 0.353 0.375 0.728 0.635 12.8 14.6 27.4 0.93 14.3 16.4 30.7
1968 BOS Reggie Smith 632 216 558 240 0.342 0.430 0.772 0.309 0.356 0.665 0.325 0.393 0.719 0.633 10.3 21.1 31.3 1.03 10.1 20.7 30.7
1994 CAL Tim Salmon 435 166 373 198 0.382 0.531 0.912 0.327 0.429 0.756 0.354 0.480 0.834 0.776 11.8 19.4 31.2 1.02 11.6 19.1 30.7
2012 CHA Paul Konerko 598 222 533 259 0.371 0.486 0.857 0.313 0.413 0.725 0.342 0.449 0.791 0.729 17.5 19.8 37.3 1.10 14.4 16.3 30.7
1933 CHN Babe Herman 565 197 508 255 0.349 0.502 0.851 0.334 0.402 0.736 0.341 0.452 0.793 0.673 4.2 25.7 29.9 0.98 4.3 26.4 30.7
1969 CHN Billy Williams 708 251 642 304 0.355 0.474 0.828 0.334 0.379 0.713 0.344 0.426 0.771 0.684 7.3 29.9 37.2 1.05 6.0 24.7 30.7
1914 CHN Heinie Zimmerman 601 192 564 239 0.319 0.424 0.743 0.303 0.331 0.634 0.311 0.377 0.689 0.641 5.0 25.9 30.9 1.02 5.0 25.7 30.7
1987 CHN Jerry Mumphrey 346 138 309 165 0.399 0.534 0.933 0.337 0.401 0.738 0.368 0.468 0.836 0.728 10.6 20.0 30.6 0.99 10.6 20.1 30.7
1915 DET Bobby Veach 661 251 570 247 0.380 0.433 0.813 0.348 0.359 0.707 0.364 0.396 0.760 0.640 10.5 21.5 32.0 1.06 10.1 20.6 30.7
1970 LAN Wes Parker 705 275 614 281 0.390 0.458 0.848 0.337 0.399 0.735 0.363 0.428 0.791 0.718 18.8 17.8 36.6 0.92 15.8 14.9 30.7
2013 MIA Giancarlo Stanton 504 184 425 204 0.365 0.480 0.845 0.304 0.381 0.685 0.335 0.431 0.765 0.700 15.3 21.7 36.9 1.07 12.7 18.1 30.7
Total 11440 4113 10112 4688 217.1 435.5 652.7 204.0 410.6 614.7

*** 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).