Posts Tagged ‘statistics’

Grow a ‘stache

Tuesday, December 8th, 2009 by Prof. Nerdtron 3000

Is Clay Zavada…

  1. A reliever for the Arizona Diamondbacks?
  2. A bully who picked on Nerdtron in his youth?
  3. The Robert Goulet Memorial Mustached American of the Year?
  4. Both 1 and 3

That’s right, in addition to putting together a nice 50+ innings in the desert, Zavada deservedly took home the Mustached American of the Year. The American Mustache Institute put out a press release, which included a curious claim about players sporting the ‘stache.

The mustache’s enhancement of a player’s skills has stirred controversy in the sport as an internal report produced by Major League Baseball reportedly said it believes Zavada’s mustache was responsible for at least 42 of his 52 strikeouts in 2009

Here at Nerd Central we don’t hide our affection for those who tout the lip sweater a bit less gracefully than Zavada. So we went about investigating whether a mustache truly could improve a baseball player’s ability.

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Nerds to the Rescue in Baltimore

Wednesday, March 4th, 2009 by Dr. Nerd

According to this insightful article on MLB.com, the Baltimore Orioles, despite last month’s signing of  anti-nerd Ty Wiggington, have  opted for nerdiness after all.  In the article, O’s GM Andy MacPhail admits using statistical methods to evaluate the potential of second basemen Brian Roberts, whom the O’s recently blessed with a 4-year $40 million contract extension, by comparing his career trajectory with the careers of similar players throughout baseball history, following in the sabermetric footsteps of Bill James, Baseball Prospectus, and others.

“In Roberts’ case, that meant measuring how fast players with plate discipline and doubles power have tended to mature as they push into their mid-30′s… Nobody knows whether Roberts will follow those trends, but looking at similar players helps eliminate guesswork.”

MacPhail and Matt Klentak,  director of baseball operations for the O’s, suggest that they now routinely evaluate their players and free agents in this fashion, especially when big money is at stake, as it was with Roberts and Nick Markakis, whom the O’s recently signed to a 6 year, $66 million extension.

“Intuitively, we felt pretty good about walk and doubles rates aging fairly well for a player like Brian,” said Klentak.”I think the conclusion that we reached about his instincts and how that may offset what history might suggest would be a significant regression in stolen bases was something we learned in the study. “

Interestingly,  Brian Roberts expressed some skepticism that the careers of other players could predict how he might perform over the coming years, suggesting:

‘”Comparisons are good for some things and inaccurate on others. Honestly, I can’t tell you what I’ll be like at 34, but neither can they,” Roberts said. “There are plenty of good players that didn’t end up playing much past 29, and there are others where you say, ‘Holy cow, he’s 39? I never would’ve guessed.’ And the game is totally different, even from the 1980s and early ’90s. You can’t sit there and say, ‘Well, this guy was your size, played the same position and just fell off the map at age 32.’ OK, great. He was also probably pretty good at age 24, while I wasn’t.”‘

In any respect, it’s heartening to see the O’s raise their game to try to keep up with the Yankees, Red Sox, and Rays in the AL East, and this type of player evaluation stands in stark contrast to the reckless actions of MacPhail’s predecessors.  While I don’t see the O’s as contenders this year, they do seem capable of making smarter decisions that will benefit them in the long run.

Walking the Walk Part II: Pitching and Defense

Wednesday, February 25th, 2009 by Prof. Nerdtron 3000

A baseball team has two jobs.  One is to score runs, and the other is prevent runs.  If we look at how teams score and prevent runs, then we can measure player’s values directly in the runs they contribute.  Nerdbaseball has a model for run scoring, now we need a model for run prevention.

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Linear Runs Created

Tuesday, February 10th, 2009 by Prof. Nerdtron 3000

(updated to reflect Abreu and Dunn’s signings)

It turns out a simple linear model can explain team run scoring a little better than OPS.  What’s nice about this approach is that by using this method to rank players, we’re also directly seeing how players contributed to their respective teams.  So, who were the leaders last year?

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Walking the walk: Part I, Offense

Wednesday, February 4th, 2009 by Prof. Nerdtron 3000

No one has ever mistaken fantasy baseball for real-life baseball.  Except for me.  When I’m trouncing the nincompoops in my league, I want to feel like the victory has some greater meaning in life.  My fellow nincompoops feel much the same way, which is why we set up a Sportsline league that allows us to set the stat values to whatever we so desire.  This way, we don’t have to deal with the absurdness of a Yahoo! League where a SB is the same as a HR.

It also turns out that I’ve been tasked with learning R, an open source statistical package, for work.  Namely, I need to figure out how to do a multiple regression.  This is a statistical technique that allows you to model an outcome based on multiple inputs.  So, to learn how to use the software, I decided to model offense in baseball, and finally figure out how good our league’s scoring system really is (for offense, at least).

Here’s a warning.  It gets really nerdy from here on out, so if you’re just interested in the answer, here it is.  Our method is pretty good.  We overvalue walks.  If you’re for some reason interested in R vs. SPSS, R is an adequate replacement.

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