Batters



Reset All Picks
Showing page 181 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
1977 BOS Carl Yastrzemski 643 239 558 282 0.372 0.505 0.877 0.333 0.401 0.735 0.353 0.453 0.806 0.732 12.4 28.9 41.2 1.11 9.7 22.6 32.2
1984 CAL Brian Downing 628 225 539 249 0.358 0.462 0.820 0.317 0.390 0.707 0.338 0.426 0.764 0.722 12.9 19.4 32.3 0.99 12.9 19.3 32.2
1912 CHA Ping Bodie 540 188 472 192 0.348 0.407 0.755 0.301 0.322 0.623 0.325 0.364 0.689 0.671 12.6 20.0 32.8 1.02 12.4 19.6 32.2
1986 CIN Buddy Bell 655 236 568 253 0.360 0.445 0.806 0.312 0.380 0.692 0.336 0.413 0.749 0.698 15.8 18.6 34.6 1.02 14.7 17.3 32.2
2021 CIN Jonathan India 631 237 532 244 0.376 0.459 0.834 0.312 0.409 0.720 0.344 0.434 0.777 0.723 20.2 12.8 32.9 1.06 19.8 12.5 32.2
1929 DET Bob Fothergill 293 109 277 158 0.372 0.570 0.942 0.320 0.390 0.709 0.346 0.480 0.826 0.747 7.7 25.0 32.7 1.03 7.6 24.6 32.2
1978 HOU Bob Watson 527 188 461 208 0.357 0.451 0.808 0.306 0.373 0.679 0.331 0.412 0.743 0.688 13.4 17.9 31.3 0.97 13.8 18.4 32.2
2007 LAN Russell Martin 620 232 540 253 0.374 0.469 0.843 0.321 0.413 0.734 0.348 0.441 0.788 0.753 16.5 15.1 31.5 1.00 16.9 15.4 32.2
1999 MIL Geoff Jenkins 493 182 447 252 0.369 0.564 0.933 0.351 0.441 0.792 0.360 0.502 0.862 0.768 4.7 27.1 31.9 0.99 4.7 27.4 32.2
1983 MIN Kent Hrbek 582 213 515 252 0.366 0.489 0.855 0.330 0.396 0.726 0.348 0.443 0.791 0.726 10.4 23.6 34.1 1.02 9.8 22.3 32.2
1964 MLN Lee Maye 627 217 588 263 0.346 0.447 0.793 0.312 0.374 0.686 0.329 0.411 0.740 0.681 10.6 21.3 31.9 0.97 10.7 21.5 32.2
1941 NYA Tommy Henrich 632 235 538 279 0.372 0.519 0.890 0.360 0.414 0.774 0.366 0.466 0.832 0.726 3.8 28.8 32.4 1.01 3.8 28.6 32.2
2005 NYN Cliff Floyd 626 224 550 278 0.358 0.505 0.863 0.335 0.419 0.754 0.346 0.462 0.809 0.741 7.2 24.0 31.2 1.00 7.4 24.8 32.2
1983 NYN Darryl Strawberry 473 159 420 215 0.336 0.512 0.848 0.324 0.372 0.696 0.330 0.442 0.772 0.694 2.9 29.2 32.2 0.99 2.9 29.2 32.2
1956 PIT Bill Virdon 547 204 509 235 0.373 0.462 0.835 0.330 0.414 0.743 0.351 0.438 0.789 0.718 15.1 16.7 31.8 0.99 15.3 16.9 32.2
1950 PIT Wally Westlake 532 189 477 235 0.355 0.493 0.848 0.324 0.391 0.715 0.340 0.442 0.781 0.733 8.2 24.3 32.5 1.01 8.1 24.1 32.2
1987 SEA Phil Bradley 702 271 603 279 0.386 0.463 0.849 0.328 0.423 0.751 0.357 0.443 0.800 0.756 20.6 11.9 32.5 1.01 20.4 11.8 32.2
2002 ANA Garret Anderson 678 225 638 344 0.332 0.539 0.871 0.336 0.433 0.769 0.334 0.486 0.820 0.753 -1.2 33.4 32.3 0.99 -1.2 33.2 32.1
2013 ATL Chris Johnson 547 196 514 235 0.358 0.457 0.816 0.308 0.388 0.695 0.333 0.422 0.755 0.700 13.8 17.8 31.6 0.98 14.0 18.1 32.1
1985 BAL Cal Ripken 718 249 642 301 0.347 0.469 0.816 0.317 0.404 0.721 0.332 0.436 0.768 0.730 10.8 21.2 32.0 1.00 10.8 21.3 32.1
Total 11694 4218 10388 5007 218.4 437.0 655.7 214.5 428.9 643.7

*** 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).