Batters



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Showing page 711 of 4181 (83612 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
2008 PHI Shane Victorino 627 219 570 255 0.350 0.447 0.797 0.344 0.433 0.777 0.347 0.440 0.787 0.743 1.4 4.7 6.1 1.02 0.9 4.1 5.0
1920 PIT Clyde Barnhart 47 16 46 23 0.340 0.500 0.840 0.293 0.337 0.630 0.317 0.418 0.735 0.670 1.1 3.7 4.8 0.96 1.2 3.9 5.0
1928 PIT Clyde Barnhart 211 69 196 80 0.327 0.408 0.735 0.320 0.370 0.690 0.324 0.389 0.712 0.730 0.8 3.8 4.6 1.05 0.8 4.2 5.0
1997 SDN Carlos Hernandez 138 45 134 60 0.326 0.448 0.774 0.312 0.386 0.698 0.319 0.417 0.736 0.740 0.9 4.2 5.1 0.94 0.7 4.3 5.0
1972 SDN Cito Gaston 403 126 379 137 0.313 0.361 0.674 0.294 0.348 0.642 0.303 0.355 0.658 0.676 3.8 2.5 6.3 0.96 3.4 1.6 5.0
1988 SDN Dickie Thon 296 102 258 87 0.345 0.337 0.682 0.294 0.356 0.649 0.319 0.346 0.666 0.669 7.6 -2.4 5.2 0.97 7.8 -2.8 5.0
1971 SDN Johnny Jeter 79 26 75 31 0.329 0.413 0.742 0.282 0.328 0.610 0.306 0.371 0.676 0.679 1.9 3.2 5.1 0.98 1.8 3.1 5.0
1986 SDN Terry Kennedy 476 153 432 174 0.322 0.403 0.725 0.324 0.373 0.697 0.323 0.388 0.711 0.698 -0.4 6.1 5.7 1.04 -0.6 5.7 5.0
2004 SEA Jeremy Reed 66 31 58 27 0.470 0.466 0.936 0.347 0.417 0.764 0.408 0.441 0.850 0.767 4.1 1.4 5.5 1.00 3.9 1.1 5.0
2010 SEA Mike Sweeney 110 36 99 47 0.327 0.475 0.802 0.319 0.413 0.732 0.323 0.444 0.767 0.730 0.6 4.2 4.8 0.94 0.6 4.3 5.0
2006 SFN Eliezer Alfonzo 309 92 286 133 0.297 0.465 0.762 0.312 0.416 0.727 0.304 0.440 0.745 0.763 -2.1 7.1 5.0 1.02 -2.1 7.1 5.0
2014 SFN Gregor Blanco 444 146 393 147 0.329 0.374 0.703 0.310 0.366 0.676 0.319 0.370 0.690 0.693 4.1 1.1 5.2 1.03 3.9 1.1 5.0
1958 SFN Hank Sauer 274 95 236 103 0.347 0.437 0.783 0.322 0.418 0.740 0.335 0.427 0.762 0.729 3.3 2.0 5.3 1.04 3.3 1.8 5.0
1976 SFN Larry Herndon 365 122 337 120 0.334 0.356 0.690 0.303 0.351 0.654 0.319 0.353 0.672 0.677 5.6 0.7 6.3 1.02 5.0 0.0 5.0
2024 SFN Mike Yastrzemski 474 143 428 187 0.302 0.437 0.738 0.317 0.404 0.721 0.309 0.421 0.730 0.716 -3.7 7.4 3.7 0.96 -3.2 8.2 5.0
1946 SLA Les Moss 39 17 35 16 0.436 0.457 0.893 0.294 0.342 0.636 0.365 0.400 0.765 0.687 2.8 2.0 4.8 0.99 2.9 2.1 5.0
1938 SLA Sig Gryska 24 13 21 14 0.542 0.667 1.209 0.337 0.393 0.730 0.440 0.530 0.970 0.768 2.5 2.8 5.3 1.07 2.3 2.6 5.0
1975 SLN Bob Forsch 88 28 78 36 0.318 0.462 0.780 0.310 0.356 0.666 0.314 0.409 0.723 0.691 0.4 4.2 4.6 0.99 0.5 4.5 5.0
1961 SLN Gene Oliver 61 22 52 28 0.361 0.538 0.899 0.322 0.408 0.730 0.342 0.473 0.815 0.728 1.2 3.5 4.7 1.07 1.3 3.7 5.0
1970 SLN Vic Davalillo 199 70 183 80 0.352 0.437 0.789 0.341 0.391 0.733 0.347 0.414 0.761 0.718 1.1 4.1 5.2 1.04 1.1 3.9 5.0
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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).