Batters



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Showing page 201 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
1953 NY1 Bobby Thomson 656 221 608 287 0.337 0.472 0.809 0.317 0.395 0.711 0.327 0.433 0.760 0.743 6.5 23.5 30.1 1.00 6.5 23.6 30.2
1910 NY1 Fred Merkle 569 194 503 219 0.341 0.435 0.776 0.319 0.343 0.663 0.330 0.389 0.719 0.657 6.2 23.3 29.5 0.99 6.3 23.9 30.2
1961 NYA Johnny Blanchard 275 105 243 149 0.382 0.613 0.995 0.333 0.421 0.754 0.357 0.517 0.875 0.720 6.7 23.1 29.9 1.00 6.8 23.3 30.2
1970 PHI Deron Johnson 650 219 574 262 0.337 0.456 0.793 0.315 0.384 0.699 0.326 0.420 0.746 0.718 7.0 20.9 27.9 0.98 7.6 22.6 30.2
2018 PIT Starling Marte 606 198 559 257 0.327 0.460 0.786 0.302 0.385 0.687 0.315 0.422 0.737 0.720 7.2 21.4 28.7 0.95 7.6 22.5 30.2
2006 SDN Mike Cameron 634 225 552 266 0.355 0.482 0.837 0.320 0.419 0.739 0.337 0.450 0.788 0.757 10.9 17.3 28.2 0.97 11.7 18.5 30.2
1974 SLN Joe Torre 611 226 529 212 0.370 0.401 0.771 0.310 0.358 0.668 0.340 0.379 0.719 0.688 18.3 11.3 29.6 1.03 18.7 11.5 30.2
2013 TOR Adam Lind 521 186 465 231 0.357 0.497 0.854 0.319 0.410 0.729 0.338 0.453 0.792 0.723 9.8 20.6 30.4 1.02 9.7 20.5 30.2
1918 BSN Red Smith 499 177 429 159 0.355 0.371 0.725 0.290 0.316 0.606 0.322 0.343 0.666 0.629 16.3 12.1 28.4 0.93 17.3 12.8 30.1
1973 CHN Billy Williams 659 243 576 252 0.369 0.438 0.806 0.324 0.377 0.701 0.346 0.407 0.754 0.694 14.8 17.6 32.4 1.05 13.7 16.4 30.1
1987 CHN Leon Durham 492 171 439 225 0.348 0.513 0.860 0.332 0.399 0.732 0.340 0.456 0.796 0.728 3.7 25.2 28.9 0.99 3.9 26.2 30.1
2011 CIN Brandon Phillips 675 236 610 279 0.350 0.457 0.807 0.308 0.392 0.701 0.329 0.425 0.754 0.706 13.8 20.0 33.9 1.05 12.2 17.8 30.1
1983 CLE Andre Thornton 605 232 508 223 0.383 0.439 0.822 0.318 0.405 0.723 0.351 0.422 0.773 0.726 19.8 9.4 29.2 1.05 20.4 9.7 30.1
1949 CLE Larry Doby 650 251 547 256 0.386 0.468 0.854 0.355 0.392 0.747 0.370 0.430 0.801 0.727 10.2 20.1 30.4 0.95 10.1 19.9 30.1
1922 CLE Steve O'Neill 478 198 393 162 0.414 0.412 0.826 0.316 0.379 0.695 0.365 0.396 0.761 0.735 23.5 6.7 30.2 1.00 23.4 6.7 30.1
1987 DET Darrell Evans 609 230 499 250 0.378 0.501 0.879 0.338 0.429 0.767 0.358 0.465 0.823 0.756 12.0 17.8 29.8 0.99 12.1 18.0 30.1
2007 MIN Torii Hunter 650 217 600 303 0.334 0.505 0.839 0.326 0.416 0.742 0.330 0.460 0.790 0.759 2.3 26.5 28.7 0.97 2.4 27.8 30.1
1989 MON Andres Galarraga 636 208 572 248 0.327 0.434 0.761 0.295 0.360 0.655 0.311 0.397 0.708 0.674 10.2 21.1 31.3 1.03 9.8 20.3 30.1
2012 NYA Derek Jeter 740 266 683 293 0.359 0.429 0.788 0.309 0.393 0.702 0.334 0.411 0.745 0.729 19.0 12.3 31.4 0.98 18.2 11.8 30.1
1970 NYN Tommie Agee 696 239 636 298 0.343 0.469 0.812 0.323 0.397 0.719 0.333 0.433 0.766 0.718 7.1 22.6 29.7 0.99 7.2 22.9 30.1
Total 11911 4242 10525 4831 225.3 372.8 598.6 225.6 376.7 602.8

*** 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).