Batters



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Showing page 24 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
2014 DET Victor Martinez 641 262 561 317 0.409 0.565 0.974 0.327 0.402 0.729 0.368 0.483 0.851 0.704 26.1 45.5 71.6 0.97 26.5 46.1 72.6
1998 HOU Moises Alou 679 271 584 340 0.399 0.582 0.981 0.322 0.414 0.736 0.361 0.498 0.858 0.737 26.2 49.6 75.8 1.04 25.1 47.5 72.6
1936 NY1 Mel Ott 660 291 534 314 0.441 0.588 1.029 0.358 0.424 0.782 0.399 0.506 0.905 0.717 27.5 43.8 71.3 0.99 28.0 44.6 72.6
1998 TEX Juan Gonzalez 669 245 606 382 0.366 0.630 0.997 0.325 0.426 0.751 0.346 0.528 0.874 0.769 13.7 61.5 75.2 1.03 13.2 59.4 72.6
1983 PHI Mike Schmidt 669 267 534 280 0.399 0.524 0.923 0.308 0.370 0.678 0.353 0.447 0.801 0.694 30.4 41.4 71.9 0.99 30.7 41.7 72.5
2012 SFN Buster Posey 610 249 530 291 0.408 0.549 0.957 0.309 0.402 0.711 0.359 0.475 0.834 0.715 30.3 38.7 68.9 0.94 31.8 40.7 72.4
2004 HOU Lance Berkman 687 309 544 308 0.450 0.566 1.016 0.346 0.440 0.785 0.398 0.503 0.901 0.752 35.8 35.0 70.8 0.97 36.6 35.7 72.3
1948 CLE Lou Boudreau 676 299 560 299 0.442 0.534 0.976 0.341 0.389 0.730 0.392 0.461 0.853 0.726 34.0 40.6 74.6 0.98 32.9 39.3 72.2
1998 ATL Andres Galarraga 648 257 555 330 0.397 0.595 0.991 0.323 0.415 0.738 0.360 0.505 0.865 0.737 23.9 49.4 73.3 1.02 23.5 48.6 72.1
2000 BOS Nomar Garciaparra 599 260 529 317 0.434 0.599 1.033 0.335 0.437 0.772 0.385 0.518 0.903 0.790 29.6 42.9 72.5 1.01 29.4 42.7 72.1
1953 BRO Roy Campanella 590 233 519 317 0.395 0.611 1.006 0.321 0.401 0.722 0.358 0.506 0.864 0.743 21.8 54.5 76.3 1.03 20.6 51.5 72.1
1953 MLN Eddie Mathews 681 276 579 363 0.405 0.627 1.032 0.349 0.437 0.785 0.377 0.532 0.909 0.743 19.5 55.0 74.5 0.94 18.9 53.2 72.1
1967 PHI Dick Allen 540 218 463 262 0.404 0.566 0.970 0.306 0.371 0.677 0.355 0.468 0.823 0.669 26.3 45.5 71.8 1.00 26.4 45.7 72.1
1981 PHI Mike Schmidt 434 189 354 228 0.435 0.644 1.080 0.303 0.359 0.662 0.369 0.501 0.871 0.679 28.7 50.4 79.1 1.07 26.2 45.9 72.1
1940 BOS Jimmie Foxx 618 254 515 299 0.411 0.581 0.992 0.322 0.395 0.717 0.367 0.488 0.854 0.745 27.4 48.0 75.3 1.03 26.2 45.9 72.0
1958 KC1 Bob Cerv 571 211 515 305 0.370 0.592 0.962 0.308 0.375 0.683 0.339 0.484 0.823 0.701 17.6 55.6 73.1 1.04 17.3 54.8 72.0
1943 DET Rudy York 661 240 571 301 0.363 0.527 0.890 0.308 0.336 0.643 0.335 0.431 0.767 0.657 18.4 54.5 72.9 1.01 18.1 53.8 71.9
2013 PIT Andrew McCutchen 674 272 583 296 0.404 0.508 0.911 0.307 0.385 0.692 0.355 0.446 0.801 0.700 32.7 36.3 69.0 0.98 34.1 37.8 71.9
1987 LAN Pedro Guerrero 630 262 545 294 0.416 0.539 0.955 0.312 0.401 0.713 0.364 0.470 0.834 0.728 32.8 37.8 70.5 0.97 33.4 38.5 71.8
1998 BOS Mo Vaughn 681 274 609 360 0.402 0.591 0.993 0.340 0.432 0.772 0.371 0.512 0.883 0.769 21.3 48.6 69.8 0.98 21.9 49.9 71.7
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Columns:
--------

Note: The batter's composite OB% and SLG% is obtained by the sum of all individual
plate appearances. For each PA, the OB% and SLG% used is versus pitchers of the same
hand as the one he's facing.

OPP_PIT_OB: the opposing pitcher OB% against, when facing batters of the same hand
OPP_PIT_SLG: the opposing pitcher SLG% against, when facing batters of the same hand
OPP_PIT_OOPS: the opposing pitcher OB% + SLG% against, when facing batters of the same hand

EXPCT_OB_AVG: the average of the opposing pitcher's OPP_PIT_OB and the batter's OB% (vs. L or R)
EXPCT_SLG_AVG: the average of the opposing pitcher's OPP_PIT_SLG and the batter's SLG% (vs. L or R)
EXPCT_OPS: the average of the opposing pitcher's OOPS and the batter's OPS (vs. L or R)

LG_OPS: the average league OPS, with the league of the home park being the league

PME_OB: the cumulative result of the plate appearance minus the EXPCT_OB_AVG
PME_SLG: the cumulative result of the plate appearance minus the EXPCT_SLG_AVG
PME: the cumulative result of the plate appearance minus the EXPCT_OPS

PF: the composite park factor the batter experienced, based on lefty-righty and park

PME_OB_PF: the cumulative result of the plate appearance minus the EXPCT_OB_AVG, with PF
PME_SLG_PF: the cumulative result of the plate appearance minus the EXPCT_SLG_AVG, with PF
PME_PF: the cumulative result of the plate appearance minus the EXPCT_OPS, with PF


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).