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sports nut: The stadium scene.

Baseball's Particle AcceleratorThe new technology that will change statistical analysis forever.


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Now that we have these sorts of tools at our disposal, we can begin to ask and answer a variety of interesting questions. Which hitters tend to get bad calls? Which pitchers get the benefit of the doubt most often? On what counts is it more likely that pitchers or hitters will benefit? Which hitters swing at pitches out of the strike zone? ... How frequently do pitchers target specific zones against certain hitters? The list goes on and on from there—let's get started.

The community has answered the call to arms. Some of the Gameday-based studies are delightfully esoteric. Am I improved by knowing that much of Josh Beckett's success comes from the fact that his changeup moves nearly identically to his fastball? No. Am I entertained? Most definitely! Some of the analysis is strategically significant—a manager would want to know that right-handed hitters should expect the curve from Tim Wakefield if they get behind in the count.

To my mind, the most interesting discussions have been about umpires. Fans have been hurling out glasses-related invectives since the men in blue were men in seersucker suits and monocles. Until instant replay came along, however, the fan didn't have a leg to stand on if he found fault with a close call. This new Gameday system does replay one better. Pitch f/x claims to be accurate to within a half-inch, and it's constantly building a pool of data. In the same way you can now say definitively that Barry Bonds was better at getting on base than Mickey Mantle, someday soon you'll be able to say that certain umpires do indeed suck. And which umpires suck more than others. And if, generally, they suck less if they're taller.



So far, attempts to answer these vital ump questions have been thwarted by small sample sizes and inconsistencies in the system from stadium to stadium. But early reports suggest that umpires are surprisingly accurate, though they do tend to give some pitchers and hitters the benefit of the doubt on balls and strikes. (The data are sketchy, but if Jose Vidro has felt like he's been getting screwed on strike calls this year, he's probably right). Last week, the Houston Astros tested out displaying the Pitch f/x strike zone on the scoreboard for a few innings during a game. This feels like a bad idea. Imagine how bad things could get for an ump if 52,000 Mets fans know he just rang up Jose Reyes on a called strike that was 3 inches off the plate.

The crowning achievement of the Gameday researchers and, I would argue, one of the greatest moments for nerdom since Ric Ocasek married Paulina Porizkova, occurred earlier this summer in Seattle. Dave Cameron, a writer for the U.S.S. Mariner blog, was trying to figure out why hitters were getting to M's ace Felix Hernandez in the early innings. Cameron turned to Gameday's database, which helped him figure out that King Felix's problem is pitch selection: The dude throws too many fastballs. So, Cameron posted his findings in a beautifully argued open letter to the Mariners pitching coach. The coach printed out the post and handed it to Hernandez. Next time out, the pitcher laid off the fastball and threw eight innings of shutout ball. Bloggers around the world should tack up portraits of Cameron in their living rooms.

Of course, Cameron's success story is a statistical outlier. Some of the early enthusiasm for Gameday 2007 has been tempered by shaky data. It seems that all of the cameras aren't properly calibrated yet, so a pitcher might appear (incorrectly) to release the ball at different heights off the ground in different stadiums. Those itching to know how much altitude impacts curveballs in Colorado or how much air density affects sinkers in San Diego will have to wait a while. But for now, the stats community will be writing articles like "Pitch Break Angle Versus Length" and "Rangers Rotation Release Points Redux." And they'll be fantasizing about next year's rumored Gameday innovation—video cameras that cover the playing field. These cameras promise to yield important insights about the art and science of fielding. Barring the sudden appearance of a complete pitch-by-pitch record of the Negro Leagues inside a melting ice cap, that is the last great statistical frontier.

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Nate DiMeo is a journalist in Los Angeles.
Photograph of Francisco Rodriguez by Christian Petersen/Getty Images.
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Remarks from the Fray:

I give athletes of yesteryear credit and subscribe to acknowledging greatness relative to era; but this statistical nonsense that claims Ruth would beat Bonds head to head in the same era is NONSENSE.

Ruth was a fat drunk, easily the best of his era; but, he played against only the best from a small pool that didn't even include black, Latin or Asian players. The pitchers of his era completed games and pitched many. To think that Ruth could beat Bonds facing 100mph fastballs, crazy curves, sinkers and pens of mid reliever lefties and righties and specialist closers does not pass the common sense test.

For objective comparison of athletes of Ruth's era, note that todays track and field champions blow the 1932 Olympians away in every event. Today's best women could beat the men's 1932 Olympic 5k champion.

But we're supposed to believe that Ruth would be the best right now, today, compared with the best modern athletes. I don't think so.

--ThirdChimp

(To reply, click here.)

(8/19)





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