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Showing page 769 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
1987 SFN Chris Brown 144 44 132 56 0.305 0.424 0.729 0.312 0.400 0.713 0.309 0.412 0.721 0.728 0.4 3.8 4.2 0.96 0.2 3.8 3.9
1971 SFN George Foster 112 34 105 42 0.303 0.400 0.704 0.308 0.358 0.666 0.306 0.379 0.685 0.679 0.5 3.0 3.5 1.01 0.6 3.3 3.9
1946 SLA Bob Dillinger 249 84 225 75 0.337 0.333 0.671 0.305 0.339 0.644 0.321 0.336 0.658 0.687 4.1 -0.3 3.8 1.02 4.1 -0.2 3.9
1952 SLA Don Lenhardt 53 17 48 22 0.321 0.458 0.779 0.301 0.350 0.650 0.311 0.404 0.714 0.690 0.1 4.1 4.2 1.02 0.1 3.8 3.9
1920 SLA Dutch Wetzel 27 14 21 12 0.519 0.571 1.090 0.345 0.389 0.734 0.432 0.480 0.912 0.723 2.3 2.0 4.3 1.10 2.1 1.8 3.9
1995 SLN Allen Watson 41 17 36 19 0.415 0.528 0.943 0.327 0.399 0.726 0.371 0.464 0.835 0.735 1.7 2.2 3.9 1.02 1.7 2.2 3.9
1962 SLN Carl Sawatski 262 92 222 106 0.351 0.477 0.829 0.347 0.416 0.764 0.349 0.447 0.796 0.716 0.5 6.8 7.3 1.13 -0.6 4.4 3.9
2015 SLN Mark Reynolds 432 136 382 152 0.315 0.398 0.712 0.304 0.390 0.695 0.310 0.394 0.704 0.714 2.3 1.6 3.9 1.00 2.3 1.5 3.9
1949 SLN Nippy Jones 403 131 380 162 0.325 0.426 0.751 0.327 0.400 0.727 0.326 0.413 0.739 0.719 -0.4 5.2 4.8 1.01 -0.9 4.8 3.9
1953 SLN Ray Jablonski 638 195 604 258 0.306 0.427 0.733 0.318 0.400 0.719 0.312 0.414 0.726 0.743 -4.2 8.3 4.1 0.97 -4.8 8.7 3.9
2005 TBA Julio Lugo 690 249 616 248 0.361 0.403 0.763 0.326 0.427 0.752 0.343 0.415 0.758 0.748 12.0 -7.8 4.2 0.98 12.4 -8.5 3.9
1982 TEX Dave Hostetler 466 140 418 181 0.301 0.433 0.734 0.317 0.397 0.713 0.309 0.415 0.724 0.727 -3.9 7.6 3.7 0.97 -3.7 7.6 3.9
1985 TOR Ernie Whitt 465 149 412 183 0.321 0.444 0.765 0.334 0.412 0.746 0.327 0.428 0.755 0.730 -3.2 6.8 3.6 1.00 -3.2 7.0 3.9
1992 TOR Turner Ward 33 14 29 16 0.424 0.551 0.976 0.341 0.405 0.746 0.383 0.478 0.861 0.711 1.3 2.2 3.5 1.02 1.4 2.5 3.9
2005 WAS Brad Wilkerson 661 231 565 229 0.349 0.405 0.754 0.329 0.416 0.746 0.339 0.411 0.750 0.745 6.6 -2.9 3.7 0.97 7.2 -3.2 3.9
1999 ANA Garret Anderson 660 222 620 291 0.337 0.469 0.806 0.352 0.441 0.793 0.344 0.455 0.800 0.786 -5.2 8.9 3.7 1.02 -5.0 8.8 3.8
2025 ANA Nolan Schanuel 564 198 488 190 0.351 0.390 0.741 0.315 0.407 0.722 0.333 0.398 0.731 0.716 10.0 -5.0 5.0 0.99 9.7 -5.9 3.8
1998 ANA Reggie Williams 45 21 36 17 0.466 0.472 0.939 0.351 0.418 0.769 0.409 0.445 0.854 0.770 2.6 1.1 3.7 0.97 2.7 1.1 3.8
1998 ARI Damian Miller 183 61 168 75 0.333 0.447 0.780 0.324 0.414 0.738 0.329 0.430 0.759 0.738 0.8 3.0 3.8 1.00 0.8 3.0 3.8
1984 ATL Chris Chambliss 455 159 389 141 0.349 0.362 0.712 0.324 0.363 0.688 0.337 0.363 0.700 0.685 5.6 0.6 6.2 1.09 5.2 -1.4 3.8
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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).