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After we posted the results of our informal mid-season awards poll last
week, we got a number of responses that looked like this:

OK...who does the voting for your MVP award?

NL: Name the player who leads the league in OBP and slugging (and obviously OPS), whose team is in first place and who leads in home runs and walks and comes in a very distant 5th...Mark McGwire.

AL: Leads the league in HRs, 2nd in RBIs, first or second in OBP and slugging, his team tied for first and he comes in a very distant 5th...Carlos Delgado.

HELLO? Does anyone there look at the statistics you guys claim are the most important?

You get the idea. And yes, we have been prominent in the push for greater
visibility of on-base percentage and slugging percentage. They are the two
most important offensive statistics for individuals. OPS, the sum of the
two, serves as a much better single number to judge a player than the more
traditional batting average.

So now that OPS has made inroads in television coverage, in Internet and
print media coverage and even within the game itself, perhaps it’s safe to
point out that OPS is not, and never has been, a magic bullet. The metric
has flaws that make it a poor tool for serious, in-depth evaluation of
performance.

The first one is that OPS hides information. In the desire to get to one
number, OPS throws together two things that do not have equal value.
On-base percentage is more important than slugging percentage to an
offense, so players with the same OPS can have much different value as
hitters.

               OPS    AVG    OBP    SLG

Corey Koskie 867 .306 .401 .466 Dean Palmer 866 .270 .354 .512

OPS would cloud the fact that these two players are having completely
different seasons. Corey Koskie is hitting for a good average and
taking a lot of walks, while hitting enough doubles to give him a good
slugging percentage. Dean Palmer is simply having a Dean Palmer
season: a .270 batting average with some walks and good power. Before
adjusting for park, Koskie’s season would appear to be more valuable.

You can do this for just about any number between 700 and 1000, if you’re
bored enough. The point is that OPS doesn’t provide enough information to
gauge value. As both a writer for and the editor of Baseball
Prospectus
, I strive to use the notation of AVG/OBP/SLG to sum up a
player’s performance.

Beyond the clouding effect, OPS factors only a player’s performance
at the plate, Playing time, base stealing, baserunning, position and
defensive performance are ignored. Anyone who votes for MVP, makes a trade
or signs a free agent without considering these factors and solely
considers OPS–and I strongly doubt anyone does–is just as wrong as the
"batting average uber alles" crowd.

Our critic above is guilty of just this fallacy. Yes, Carlos Delgado
and Mark McGwire are having phenomenal offensive seasons, but as
first baseman of moderate defensive ability, they don’t deserve MVP votes
ahead of a shortstop like Alex Rodriguez or a second baseman like
Jeff Kent. Value over the average, or replacement, player at a
position has to be considered, rather than simply raw batting totals.

Finally, OPS is not adjusted for context, and in making serious evaluations
of performance, you have to consider context. This is where more advanced
metrics, such as
Clay Davenport’s Equivalent Average
(EqA), come into play. EqA adjusts for the player’s home park.

Returning to our slow white third basemen, we noted earlier that they had
similar OPSs but that Koskie’s greater OBP meant he was having the better
season offensively, before adjusting for park. Well, if you do adjust for
park, you find that the two players actually do have nearly identical EqAs
(Koskie: .274, Palmer, .273), courtesy the difference between playing home
games in the Metrodome and in Comerica Park.

In this case, the shape and the context of the performances cancel out,
leaving two equivalent seasons. That, of course, is not always the case.
Take a trio of NL second basemen:

               OPS    AVG    OBP    SLG    EqA

Ron Belliard 794 .287 .371 .423 .271 Bret Boone 793 .257 .327 .466 .271 Jay Bell 792 .269 .353 .439 .264

These three guys are having completely disparate seasons, despite having
nearly identical OPSs. And while Ron Belliard and Bret Boone
are a similar comp to Koskie and Palmer, with one player’s OBP edge being
canceled out by a park difference, it’s clear that Jay Bell‘s
hitting comes in a bit below both of them.

So while the growing use of OPS is a quantum leap forward for baseball
coverage and management, it is important to recognize its limitations. OPS
is not the be-all, end-all of performance metrics; it’s simply a
quick-and-dirty way of evaluating hitting when no better tools are easily
available.

By the way, I want to correct an item currently appearing in
the NL West Notebook.
In it, I wrote that games at Coors Field had seen 38% more runs
than an average game, a figure I pulled from Clay Davenport’s EqA reports.
What I pulled, though, was the park factor, which is merely the adjustment
factor for Rockies’ players.

In actuality, the environment in Denver has increased run scoring in 2000
by 90%. This doesn’t impact the conclusions of the piece; rather, it makes
the point even more dramatically that the distorting effects of altitude
mandate that they be accepted and factored in to any evaluation of the
Rockies.

Thanks to reader Roy White for his eagle eye. Roy, contact Gary Huckabay
for your tickets to his one-man musical, "La Cage Aux Folles: The
Molting Years."

Joe Sheehan can be reached at jsheehan@baseballprospectus.com.