In his article “The
True Cost of Winning in the MLB”, Grantland’s Michael Bertin tries to
debunk a claim that the Oakland A’s “spend less than any other MLB team per win”
because the metric used to support this claim is faulty. Or he sort of does.
Actually, the article seems more like the end of Fight Club where a hallucinogenic Ed Norton is arguing with himself
(with the other “version” of himself being played by Brad Pitt). Bertin first
goes on to say that payrolls at the beginning of the year often do not match
payrolls at the end of the year. He uses the Houston Astros and the Boston Red
Sox as examples of teams that dumped a significant amount of salary through
late season trades. These examples shows how it is hard to calculate how much
teams pay per win because who is on these teams can change throughout the year.
However, he later states that team’s effective salaries remain constant. Both
the Astros and Red Sox actually ended up having to pay much of the salaries of
the traded players. Therefore, a team’s Opening Day salary could be used to
calculate the cost per wins because they often are responsible for contracts
even after trading players. Yes, we are as confused typing these sentences as
you are by reading them.
Yet, this
was not the most head-scratching part of the article. Bertin also states,
“You can't do much to effect revenue in season, so why would you want to wildly
increase costs by taking on more salary? You can't raise ticket prices
mid-season. Even adding players in August won't impact attendance that much (if
you're in a playoff race, you're probably already drawing well; if not, you're
not)... By two-thirds of the way through the season, a team isn't finding more
money in an old shoe box (unless Carl Pohlad left behind some boxes somewhere).”
While these statements are somewhat
easier to understand than his cost per wins logic, Bertin’s argument here is
actually a little more difficult take. First, he completely discounts the
efforts made by a team’s ticket sales and marketing professionals, who make up
a large portion of an organization’s business operations staff, throughout the
course of the season. According to Bertin, teams are essentially paying these people
to do nothing because ticket sales are totally dependent on if a team is in a playoff
race or not. Second, he discounts any impact that dynamic ticket pricing would
have on a team’s ticket sales. Dynamic ticket pricing allows teams to adjust
ticket prices based on factors like if the team adds new players from a trade.
In fact, adjusting for changing circumstances is the whole point of dynamic
ticket pricing. Third, a team trading for players will likely increase jersey /
merchandise sales. This means there is a larger amount of new merchandise
revenue available for an organization even if it has to split the money with
all 30 other teams per Major League Baseball’s revenue sharing agreements.
Ironicaly, Bertin’s comments represent an old
way of thinking about off the field success even as he examining a relatively
new metric for measuring on the field success. Sports managers and decision
makers should not (and most do not) allow their teams to stand idle if there
are ways to increase revenue during the season. While this does not always mean
that teams should trade for more expensive players, it can mean that
organizations can make trades to enhance a team’s bottom line.
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