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Tuesday, November 10, 2009

THT: The triumph of Moneyball

We’re not throwing chairs here!  Good stuff from Pizza Cutter.

One of the oft-parroted (and oft-misunderstood) lessons of Moneyball was that on-base percentage (OBP) was the statistic by which to rate a player. In fact, Moneyball made the case that the A’s success was built on an understanding that OBP had two properties. It was a more effective way than batting average to rate players, and OBP was inefficiently priced in the free agency market. Detractors charged that chicks dig the long ball, but nerds dig the walk. But something interesting happened. A few more teams publicly embraced Sabermetrics within their front offices, with a few hiring well-known Sabermetricians to be in-house stat-heads. While this wasn’t a majority of teams, it was a notable minority. Still, traditionalists scoffed and wondered why none of these teams (meaning Oakland) had yet won a World Series.

Did Moneyball really have an effect outside of Oakland and the handful of teams that embraced Sabermetrics in the following years? Were the lessons of Moneyball taken to heart league-wide? The surprising answer is “Yes, and in a much more powerful way than you might expect.” The way to tell whether a man believes something is if he’s willing to “put his money where his mouth is.” In baseball, that’s rather literal. Teams buy the service of players in a (mostly) open market. How much money they are willing to commit to a player tells a lot about what they think of him. And what drives those salaries tells a lot about what the market as a whole thinks about what makes a player valuable.

I took 11 years worth of data, 1997-2007, which corresponds to five years before the release of Moneyball in 2002 to five years after. What I wanted to find was what statistics appeared to be driving the salary market during those years. I selected all hitters who had more than six years of MLB service (as dated from their debut year) during the season in question. This weeds out the players who under the new labor contract were in the “slave labor” years of their careers, prior to when they could file for free agency. (The old agreement didn’t have the same structure, but the nice thing about six years in the majors is that it makes everyone in the study a well-known quantity.)

Repoz Posted: November 10, 2009 at 01:14 PM | 10 comment(s) | Login to Bookmark
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   1. TomH Posted: November 10, 2009 at 02:07 PM (#3383919)
Coherent analysis, enough data to get rid of small smaple size probs, and graphs that are worth 1000 words.

Quibbles: Yes, Moneyball=OBP is the meme, but when he goes to compare OBP to other items that correlate with salary, the units of HR and RBI are of different types; counting stats instead of rate stats. Better dicrect comparison would be SLG, and possibly SB/PA to measure speed.

The other way to tackle it would be to admit that HR and RBI ARE traditionally stats that drive salary, but if we wish to compare Moneyball effects, it should be HR and RBI versus Walks drawn; the counting stat that Moenyabll was really saying was underappreciated.
   2. cardsfanboy Posted: November 10, 2009 at 02:36 PM (#3383941)
I would have liked to see some other stats (Ops would have been a nice one) and of course this is making a basic assumption that one stat drives the market which would be a piss poor way to run a team.
   3. Mike Emeigh Posted: November 10, 2009 at 02:44 PM (#3383948)
It would have been useful to run this study controlling for SLG, as OBP and SLG are positively correlated. It also does not appear as though OBP was adjusted for intentional walks, which are often the result of the batter's other skills (e.g. SLG) rather than his skill at getting on base.

-- MWE
   4. Avoid running at all times.-S. Paige Posted: November 10, 2009 at 02:55 PM (#3383962)
It would have been even more informative to run this study controlling for body type, as OBP and lard buttness are positively correlated. We know that fat bottom players were going to get a salary bump after the publication of the book, but that's because they didn't look good in jeans, not necessarily because of their ability to get on base.

Seriously, I enjoyed the article.
   5. ekogan Posted: November 10, 2009 at 03:19 PM (#3383988)
It seems that the proper way to run this study would be to use Marcel to figure out the expected future WAR of each free agent, correlate it to free agent salaries and than run multi-variable regressions to see what other player stats were significant in determining free agent salary. For example, if Moneyball's thesis was correct, before 2002 you would get something like Salary = a*Expected_WAR - b*Walks + c*RBI, and after 2002, the walks term would not be significant anymore.
   6. J.C. Bradbury Posted: November 10, 2009 at 04:35 PM (#3384049)
Further evidence from Hakes and Sauer:

In our 2006 paper, we examined the implications of Michael Lewis’ book for the labor market in Major League Baseball. Our tests provided econometric support for Lewis' claim of mis-pricing in the baseball labor market's valuation of batting skills. We also found suggestive evidence that the dispersion of statisticalknowledge throughout baseball organizations was associated with a sharp attenuation of the mis-pricing. This paper takes a closer look at the economic issues raised by Lewis for the baseball labor market. We extend the sample both backward and forward in time, seeking to determine how long the pricing anomaly existed, and whether the recent attenuation in the anomaly is robust to new observations. In addition, we refine the measures of skill used in our tests to more closely match the narrative account in Lewis' book. Using both our earlier and refined measures, we find that the pricing anomaly extends well before the period described in Moneyball, and that with some important caveats, the market correction in the post-Moneyball period persists. Finally, improvements in personnel management associated with a closer link between pay and performance may be responsible for the sharply increased correlation between winning percentage and payroll in recent years.
   7. ekogan Posted: November 10, 2009 at 04:50 PM (#3384057)
Tangotiger hates the Hakes & Sauer paper

A reader made reference to a popular Moneyball paper by Sauer and Hakes (pdf). Boy that paper makes my blood boil. Let’s look at Table 2, column 2001. This is the equation:
ln(Salary) = 3.1*SLG - 0.13*OBP + .003*PA + 1.1*ArbEligible + 1.68*FreeAgent +.07*IsCatcherOrInfielder + 10.3

This is based on 357 players (min 130 PA in year 2000).

Now, just because a regression equation (likely poorly constructed) shows that the OBP has virtually zero impact on salary in 2001 doesn’t mean that this equation is valid. It’s mathematical gymnastics that makes no sense.
   8. JPWF13 Posted: November 10, 2009 at 04:54 PM (#3384059)
it was a notable minority. Still, traditionalists scoffed and wondered why none of these teams (meaning Oakland) had yet won a World Series.


Did any of these "traditionalists" ever notice that the Evil Empire's offense was built on OBP?
   9. Pasta-diving Jeter (jmac66) Posted: November 10, 2009 at 05:02 PM (#3384064)
Did any of these "traditionalists" ever notice that the Evil Empire's offense was built on OBP?

no, because the Yankees never TALKED about it--they just did it
   10. villainx Posted: November 10, 2009 at 06:39 PM (#3384149)
Did any of these "traditionalists" ever notice that the Evil Empire's offense was built on OBP?

Their money skewering the correlation?
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