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Showing page 182 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
2016 BOS Hanley Ramirez 620 224 549 277 0.361 0.505 0.866 0.317 0.426 0.743 0.339 0.465 0.805 0.743 13.6 21.7 35.3 1.05 12.4 19.7 32.1
1981 CHA Chet Lemon 383 145 328 161 0.379 0.491 0.869 0.311 0.372 0.683 0.345 0.431 0.776 0.690 12.9 19.5 32.4 1.01 12.8 19.3 32.1
1962 CHA Floyd Robinson 684 261 600 285 0.382 0.475 0.857 0.338 0.410 0.748 0.360 0.442 0.802 0.716 14.8 19.0 33.9 0.96 14.0 18.0 32.1
1952 CHA Minnie Minoso 668 245 569 241 0.367 0.424 0.790 0.321 0.364 0.685 0.344 0.394 0.738 0.690 15.3 16.6 32.0 1.00 15.3 16.7 32.1
1918 CLE Smoky Joe Wood 482 165 422 171 0.342 0.405 0.748 0.298 0.302 0.600 0.320 0.354 0.674 0.635 10.8 21.7 32.5 1.03 10.7 21.4 32.1
1949 DET Vic Wertz 695 265 608 283 0.381 0.465 0.847 0.358 0.389 0.747 0.370 0.427 0.797 0.727 8.0 23.1 31.3 0.99 8.2 23.7 32.1
2000 FLO Derrek Lee 546 201 477 242 0.368 0.507 0.875 0.325 0.423 0.748 0.347 0.465 0.812 0.770 11.8 20.4 32.1 0.99 11.8 20.4 32.1
1956 KC1 Harry Simpson 597 207 543 266 0.347 0.490 0.837 0.334 0.387 0.721 0.340 0.438 0.779 0.731 3.8 28.1 31.9 0.99 3.8 28.3 32.1
1973 MIL Dave May 680 238 624 295 0.350 0.473 0.823 0.337 0.384 0.721 0.344 0.428 0.772 0.707 4.4 27.9 32.2 0.97 4.4 27.8 32.1
1982 MIL Paul Molitor 751 271 666 300 0.361 0.450 0.811 0.320 0.405 0.725 0.340 0.428 0.768 0.727 15.3 14.7 30.1 0.98 16.3 15.7 32.1
1955 NYA Hank Bauer 562 201 492 227 0.358 0.461 0.819 0.321 0.380 0.701 0.339 0.421 0.760 0.713 10.3 20.3 30.7 0.99 10.8 21.2 32.1
1953 NYA Mickey Mantle 540 215 461 229 0.398 0.497 0.895 0.349 0.414 0.763 0.374 0.455 0.829 0.715 13.2 18.8 32.0 0.93 13.2 18.9 32.1
1988 OAK Mark McGwire 635 223 550 263 0.351 0.478 0.829 0.319 0.398 0.717 0.335 0.438 0.773 0.712 10.2 22.1 32.3 0.97 10.1 22.0 32.1
2006 SEA Richie Sexson 663 224 591 298 0.338 0.504 0.842 0.322 0.420 0.742 0.330 0.462 0.792 0.775 5.1 26.0 31.1 0.95 5.3 26.8 32.1
2013 TOR Jose Bautista 528 189 452 225 0.358 0.498 0.856 0.309 0.391 0.700 0.333 0.445 0.778 0.723 13.0 24.3 37.2 1.05 11.2 21.0 32.1
2010 ARI Chris Young 664 226 584 264 0.340 0.452 0.792 0.311 0.384 0.695 0.326 0.418 0.744 0.720 9.8 19.8 29.7 0.98 10.6 21.3 32.0
1968 BAL Brooks Robinson 667 202 608 253 0.303 0.416 0.719 0.283 0.331 0.614 0.293 0.374 0.666 0.633 6.8 26.0 32.7 1.01 6.7 25.4 32.0
1988 BAL Cal Ripken 689 256 575 248 0.372 0.431 0.803 0.314 0.391 0.705 0.343 0.411 0.754 0.712 19.9 11.8 31.7 0.99 20.1 11.9 32.0
1917 BOS Duffy Lewis 618 200 551 214 0.324 0.388 0.712 0.291 0.308 0.600 0.307 0.348 0.656 0.626 10.1 22.5 32.6 1.00 9.9 22.1 32.0
1920 BOS Harry Hooper 634 259 536 252 0.409 0.470 0.879 0.358 0.423 0.781 0.383 0.446 0.830 0.723 16.0 13.3 29.3 0.94 17.5 14.5 32.0
Total 12306 4417 10786 4994 225.1 417.6 643.0 225.1 416.1 641.5

*** 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).