After the “Ball” is over…

August 7, 2019

Just received a copy of Homegrown: How the Red Sox Built a Champion From the Ground Up, by Boston Globe journalist Alex Spier and it got me to thinking:

How many of these microcosms of team-building have come down the pike since Michael Lewis first published Moneyball: The Art of Winning an Unfair Game all the way back in 2003? Go ahead, take a guess. With apologies to the good folks at Goodreads, I strongly disagree with their list of “Books Similar to Moneyball.” To my mind, the only thing they all have in common is that they’re about baseball.

I make no claim that this is a complete list, so please feel free to comment on what I missed. That said, according to my calculations — and in no particular order — we have:

Seems like you don’t even have to win a World Championship to merit a book; all you have to do is compete for a playoff spot, as did the Pirates (Big Data Baseball). In fact, I find it odd that the team’s name doesn’t even appear in the title. Same for the Tampa Bay Rays (The Extra 2%). I guess they’re not “marquee” enough.

Then there are the books that primarily deal with the new generation of analytics that go into front office thinking. As you know, I’m no math genius, so my eyes glaze over when I look at the various formulas. Among this sub-genre are:

Finally, we have the precursors to even this sub-genre, as exemplified by

The Thorn/Palmer collaboration was first published in 1984 and was ahead of its time. Schwarz’s contribution is more of a history of baseball stats rather than a proponent of the new metrics. Some are relatively easy, like OPS. Others make my head spin, like this one for “weight on-base average (wOBA)”

When computing wOBA, we use Plate Appearances = AB + BB - IBB + HBP + SF and we also exclude IBBs from the count of BBs. Our view (and those of the creators of these stats) is that SHs and IBBs are managerial decisions, and in general the best way to handle these is to exclude them from the rate stat (wOBA); then when computing the counting stat (wRAA), we assume the hitter would have done as well as they normally did in the situation if asked to hit.

So for example, in 2010 we get a formula for MLB of: wOBA = (0.70 * uBB + 0.73 * HBP + 0.89 * 1B + 1.27 * 2B + 1.61 * 3B + 2.07 * HR + 0.25 * SB - 0.50 * CS) / (AB+BB-IBB+HBP+SF)

Why 0.73 or 0.89?? Ugh. There’s a line in the classic Abbot and Costello skit “Who’s on First,” in which Abbot tells his confused friend that he’s getting the lineup. “I don’t even know what I’m talking about!” counters Costello. That’s pretty much how I feel, so I’m going to stop now before I embarrass myself any further.

So I’ll end with this: Now that every team as some department that covers this sort of Moneyball territory and it’s no longer that revolutionary, what will the next “big thing” be in baseball books?

By the way, if you’re interested…

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