Read More...Well, we quickly have an idea of strikeout rate, ground ball and fly ball tendencies, and (somewhat less quickly), walk rate. Over a season, you can get a pretty good idea of a pitcher’s single and HBP rates. Strangely enough, singles stabilize a lot faster than the alleged “true” outcome of HR rate. Some of the classic one-number rates (OBP, SLG) can stabilize over the course of a year for a full-time starter. And yes, BABIP still needs a lot of data (roughly 2000 balls in play), but that ...
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1. Danny posted on December 13, 2012 at 01:20 PM # hit 0 | hit 0They also use a binary measure of "major league success," which is simply 320 games played in the majors. Aside from the fact that they don't differentiate between the success of a Milledge and a Bonds--they don't consider defensive position or defense, so their study doesn't catch the fact that a 1B generally has to hit much better than a SS to get his 320 games in the majors.
This is my favorite part:
So they sent you a link to Baseball-Reference?
Is this really a true statement? It doesn't ring true to me.
I wonder how much is lost in the reporting here. While there certainly are academic papers that are not up-to-date on current baseball research, I also know plenty of academics who do know their baseball stuff and actually cite what they should. (Admission: I'm a math prof.)
...or written many times since.
Most of their high draft picks were blown on pitchers (or hitters who were immediately converted to pitching).
It's not perfect, but results at AA and above carry (within noise) as much signal as major league results. Yes, there are a handful of exceptions (guys who -- even after adjusting for offensive context -- hit in the minors and not the majors) but not that many.
Pitchers are a little more problematic, but it's not like major league pitchers are models of consistency.
Note that the claim is not that minor league results perfectly predict major league results, merely that they're broadly speaking as useful as major league stats in projecting players.
(leading to a comment - 'this paper is great (again, it wasn't) and all, i just wish it had more economics in it').
i did not find this to be the case, nor do i believe it to be - nor should we believe it to be. (take that, bill james.) it's a fundamentally different environment, even if that's so in small ways (like the interplay b/w skill/athleticism, consistency of the quality of in-season competition, less precise park effects, and so on). i certainly think it's close enough that mles and the like are useful tools, but the signal is a bit weaker.
It's from the actual journal article, which you should be able to download from here.
Are there teams that give more at-bats to players they believe should be driving a taxi?
I guess I'll just trust you and save the $42.
Hmmm, I downloaded the PDF for free earlier.
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