Batters



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Showing page 46 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
2011 BOS David Ortiz 605 241 525 291 0.398 0.554 0.953 0.318 0.399 0.717 0.358 0.477 0.835 0.728 24.2 40.8 65.0 1.06 22.3 37.7 60.0
1916 CIN Hal Chase 572 205 543 250 0.358 0.460 0.819 0.286 0.317 0.603 0.322 0.389 0.711 0.623 20.9 38.8 59.6 1.02 21.0 39.1 60.0
1959 DET Al Kaline 594 242 511 271 0.407 0.530 0.938 0.320 0.386 0.706 0.363 0.458 0.822 0.703 26.1 36.9 63.0 1.06 24.9 35.1 60.0
1936 PIT Paul Waner 665 294 585 304 0.442 0.520 0.962 0.356 0.416 0.773 0.399 0.468 0.867 0.717 28.7 30.6 59.3 0.99 29.0 31.0 60.0
2013 SLN Matt Carpenter 717 280 626 301 0.391 0.481 0.871 0.314 0.382 0.696 0.352 0.431 0.783 0.700 27.6 31.6 59.2 1.00 28.0 32.0 60.0
2008 ATL Chipper Jones 534 251 439 252 0.470 0.574 1.044 0.347 0.430 0.777 0.409 0.502 0.911 0.740 32.8 31.7 64.5 1.04 30.5 29.4 59.9
1999 PHI Bobby Abreu 662 295 546 300 0.446 0.549 0.995 0.347 0.430 0.777 0.397 0.490 0.886 0.768 32.5 31.4 63.9 1.04 30.5 29.4 59.9
1964 PIT Roberto Clemente 683 264 622 301 0.387 0.484 0.870 0.306 0.381 0.688 0.346 0.433 0.779 0.681 27.4 32.4 59.7 1.00 27.5 32.5 59.9
2000 SLN Mark McGwire 321 155 236 176 0.483 0.746 1.229 0.340 0.432 0.772 0.412 0.589 1.000 0.770 22.8 37.6 60.4 1.01 22.6 37.3 59.9
1952 BRO Gil Hodges 619 238 508 254 0.384 0.500 0.884 0.308 0.360 0.667 0.346 0.430 0.776 0.693 23.8 35.7 59.3 1.00 24.0 36.0 59.8
2002 PHI Bobby Abreu 685 283 572 298 0.413 0.521 0.934 0.338 0.410 0.748 0.376 0.466 0.841 0.738 25.7 31.9 57.5 0.94 26.7 33.2 59.8
1991 SEA Ken Griffey 633 251 548 289 0.397 0.527 0.924 0.323 0.384 0.706 0.360 0.455 0.815 0.721 23.4 38.8 62.2 1.02 22.5 37.3 59.8
1972 ATL Hank Aaron 545 213 449 231 0.391 0.514 0.905 0.298 0.355 0.653 0.344 0.435 0.779 0.676 25.4 35.7 61.0 1.03 24.9 34.9 59.7
1923 BRO Jack Fournier 578 233 515 303 0.403 0.588 0.991 0.347 0.418 0.765 0.375 0.503 0.878 0.730 16.2 43.3 59.6 1.02 16.2 43.4 59.7
2013 CIN Shin-Soo Choo 712 300 569 263 0.421 0.462 0.884 0.319 0.386 0.706 0.370 0.424 0.795 0.700 36.4 22.5 58.8 0.99 37.0 22.8 59.7
1955 CIN Ted Kluszewski 686 262 612 358 0.382 0.585 0.967 0.340 0.431 0.771 0.361 0.508 0.869 0.731 14.4 46.9 61.4 1.06 14.0 45.6 59.7
2000 PHI Bobby Abreu 680 283 576 319 0.416 0.554 0.970 0.346 0.433 0.779 0.381 0.494 0.875 0.770 23.9 35.0 58.9 0.99 24.2 35.5 59.7
1930 SLA Goose Goslin 456 180 396 258 0.395 0.652 1.046 0.353 0.440 0.792 0.374 0.546 0.919 0.763 12.8 49.2 62.0 1.05 12.3 47.4 59.7
2003 ARI Luis Gonzalez 679 273 579 308 0.402 0.532 0.934 0.333 0.412 0.744 0.367 0.472 0.839 0.745 23.5 34.2 57.7 1.07 24.3 35.3 59.6
1949 CHN Hank Sauer 398 144 357 204 0.362 0.571 0.933 0.315 0.379 0.694 0.338 0.475 0.814 0.719 12.0 45.8 57.8 0.99 12.4 47.2 59.6
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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).