Batters



Reset All Picks
Showing page 151 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
1970 SFN Ken Henderson 649 255 554 255 0.393 0.460 0.853 0.339 0.396 0.735 0.366 0.428 0.794 0.718 17.7 17.5 35.1 0.97 18.2 18.0 36.1
1943 SLN Walker Cooper 475 163 449 208 0.343 0.463 0.806 0.310 0.338 0.648 0.327 0.401 0.727 0.666 7.9 28.1 35.9 1.00 7.9 28.3 36.1
1997 TEX Ivan Rodriguez 648 233 597 289 0.360 0.484 0.844 0.319 0.409 0.728 0.339 0.447 0.786 0.766 13.1 22.4 35.5 0.99 13.3 22.8 36.1
2011 TEX Josh Hamilton 538 186 487 261 0.346 0.536 0.882 0.320 0.397 0.717 0.333 0.466 0.799 0.728 6.9 33.4 40.3 1.10 6.2 29.9 36.1
2012 ARI Paul Goldschmidt 587 211 514 252 0.359 0.490 0.850 0.314 0.404 0.718 0.337 0.447 0.784 0.715 13.4 22.4 35.8 1.02 13.5 22.5 36.0
2000 BOS Carl Everett 561 209 496 291 0.373 0.587 0.959 0.358 0.457 0.814 0.365 0.522 0.887 0.790 4.3 32.3 36.4 1.02 4.3 31.9 36.0
1948 BSN Jeff Heath 420 168 364 212 0.400 0.582 0.982 0.358 0.437 0.795 0.379 0.509 0.889 0.711 8.8 26.8 35.6 1.00 8.9 27.1 36.0
1958 CHN Lee Walls 576 211 513 253 0.366 0.493 0.859 0.311 0.400 0.712 0.339 0.447 0.786 0.729 15.7 23.7 39.4 1.02 14.3 21.7 36.0
2001 CLE Ellis Burks 515 190 439 238 0.369 0.542 0.911 0.327 0.425 0.752 0.348 0.484 0.832 0.760 10.9 25.6 36.4 1.01 10.8 25.3 36.0
1998 MIL Jeff Cirillo 694 277 604 269 0.399 0.445 0.844 0.323 0.411 0.734 0.361 0.428 0.789 0.737 26.6 9.9 36.5 1.02 26.2 9.8 36.0
1976 NYA Graig Nettles 657 215 583 277 0.327 0.475 0.802 0.316 0.365 0.681 0.321 0.420 0.742 0.677 3.9 33.4 37.3 1.03 3.8 32.2 36.0
2002 NYN Edgardo Alfonzo 562 220 490 225 0.391 0.459 0.851 0.313 0.399 0.712 0.352 0.429 0.781 0.738 22.1 14.4 36.4 0.93 21.9 14.2 36.0
1977 PHI Bake McBride 314 123 280 158 0.392 0.564 0.956 0.341 0.416 0.757 0.366 0.490 0.857 0.721 11.4 26.0 37.4 1.03 11.0 25.0 36.0
2008 PIT Xavier Nady 360 138 327 175 0.383 0.535 0.919 0.324 0.431 0.756 0.354 0.483 0.837 0.740 15.2 20.7 35.9 0.99 15.2 20.8 36.0
1913 SLN Ed Konetchy 581 199 502 215 0.343 0.428 0.771 0.307 0.338 0.644 0.325 0.383 0.707 0.671 10.7 25.5 36.2 1.00 10.6 25.4 36.0
1999 ARI Matt Williams 678 233 627 336 0.344 0.536 0.880 0.332 0.431 0.764 0.338 0.484 0.822 0.768 3.9 32.5 36.3 0.99 3.9 32.1 35.9
1972 BAL Bobby Grich 528 188 460 191 0.356 0.415 0.771 0.292 0.334 0.626 0.324 0.375 0.699 0.645 16.9 18.5 35.4 0.97 17.1 18.8 35.9
2007 BOS Mike Lowell 653 247 589 295 0.378 0.501 0.879 0.330 0.412 0.742 0.354 0.456 0.810 0.759 15.8 26.1 41.9 1.06 13.5 22.4 35.9
1950 BSN Walker Cooper 373 144 337 178 0.386 0.528 0.914 0.331 0.404 0.735 0.359 0.466 0.825 0.733 13.9 25.9 39.8 0.92 12.5 23.4 35.9
1962 CHA Al Smith 575 209 511 236 0.363 0.462 0.825 0.313 0.383 0.696 0.338 0.423 0.761 0.716 14.6 20.3 34.9 0.97 15.0 20.9 35.9
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).