Batters



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Showing page 194 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
2013 NYN Marlon Byrd 464 153 425 220 0.330 0.518 0.847 0.306 0.391 0.697 0.318 0.454 0.772 0.700 3.9 28.5 32.4 0.97 3.7 27.2 30.9
1970 OAK Rick Monday 442 169 376 172 0.382 0.457 0.840 0.323 0.380 0.703 0.352 0.419 0.771 0.697 13.2 15.1 28.3 0.94 14.4 16.5 30.9
1991 OAK Rickey Henderson 578 231 470 199 0.400 0.423 0.823 0.319 0.395 0.714 0.359 0.409 0.768 0.721 23.2 6.9 30.1 0.98 23.8 7.1 30.9
1919 PHI Irish Meusel 549 177 520 214 0.322 0.412 0.734 0.286 0.323 0.609 0.304 0.367 0.671 0.639 10.1 23.1 33.3 1.03 9.4 21.4 30.9
1970 PHI Tony Taylor 495 185 439 203 0.374 0.462 0.836 0.317 0.389 0.705 0.345 0.425 0.771 0.718 14.0 16.4 30.5 0.98 14.2 16.6 30.9
1984 PHI Von Hayes 622 223 561 251 0.359 0.447 0.806 0.329 0.375 0.704 0.344 0.411 0.755 0.685 9.2 20.6 29.9 0.99 9.5 21.3 30.9
1976 PIT Al Oliver 481 174 443 211 0.362 0.476 0.838 0.331 0.373 0.704 0.346 0.425 0.771 0.677 7.6 22.9 30.4 1.01 7.7 23.3 30.9
2011 TEX Adrian Beltre 525 174 487 273 0.331 0.561 0.892 0.317 0.408 0.725 0.324 0.484 0.809 0.728 3.8 37.3 41.0 1.07 2.9 28.1 30.9
2012 WAS Ryan Zimmerman 641 222 578 276 0.346 0.478 0.824 0.315 0.406 0.720 0.330 0.442 0.772 0.715 10.1 20.8 30.8 1.01 10.1 20.9 30.9
1912 WS1 Chick Gandil 492 166 443 192 0.337 0.433 0.771 0.306 0.331 0.637 0.322 0.382 0.704 0.671 7.6 23.1 30.6 0.99 7.7 23.3 30.9
1990 BOS Mike Greenwell 682 250 610 265 0.367 0.434 0.801 0.326 0.368 0.693 0.346 0.401 0.747 0.712 14.1 20.2 34.3 1.08 12.7 18.1 30.8
1929 BRO Rube Bressler 539 213 456 210 0.395 0.461 0.856 0.336 0.403 0.740 0.366 0.432 0.798 0.773 15.9 13.3 29.2 0.98 16.8 14.0 30.8
1989 CHA Carlton Fisk 419 149 375 178 0.356 0.475 0.830 0.314 0.374 0.688 0.335 0.424 0.759 0.707 8.8 18.8 27.5 0.95 9.9 21.0 30.8
1957 CHA Nellie Fox 718 287 619 257 0.400 0.415 0.815 0.337 0.390 0.727 0.368 0.403 0.771 0.704 22.6 7.8 30.4 1.01 22.9 7.9 30.8
1928 CHN Kiki Cuyler 581 200 499 236 0.344 0.473 0.817 0.322 0.379 0.701 0.333 0.426 0.759 0.730 6.5 23.6 30.0 0.96 6.7 24.2 30.8
1944 CIN Eric Tipton 547 204 479 186 0.373 0.388 0.761 0.304 0.337 0.641 0.338 0.363 0.701 0.683 18.9 12.2 31.1 1.01 18.7 12.1 30.8
1961 CLE Woodie Held 591 208 510 238 0.352 0.467 0.819 0.318 0.384 0.702 0.335 0.425 0.761 0.720 10.0 21.3 31.4 0.97 9.8 20.9 30.8
1939 DET Rudy York 376 144 329 179 0.383 0.544 0.927 0.336 0.397 0.732 0.359 0.470 0.830 0.752 9.0 24.8 33.7 1.07 8.2 22.7 30.8
2009 KCA Billy Butler 672 243 608 299 0.362 0.492 0.853 0.322 0.420 0.743 0.342 0.456 0.798 0.762 13.2 22.1 35.3 1.04 11.5 19.3 30.8
2002 MIN Torii Hunter 604 202 561 294 0.334 0.524 0.859 0.323 0.424 0.747 0.329 0.474 0.803 0.753 3.6 28.8 32.4 1.02 3.4 27.4 30.8
Total 11018 3974 9788 4553 225.3 407.6 632.6 224.0 393.3 617.0

*** 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).