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1. Johnny Two Screens Posted: January 05, 2010 at 07:32 PM (#3428419)Please retire Peter Gammons.
Well, be honest my friend. ESPN's data shows the New Big Bedpan in Da' Bronx as easily the #1 HR park in all of 'ball.
That's what everybody was carping and kevetching about, no?
I'm just one person (and not a Yankee fan), but that's what I find displeasing about the new ballpark. The fact that the park supresses other kinds of offense actually makes the park worse, in my mind.
(I believe this was Bill James' stance in the newer historical abstract. Baseball is most exciting when the ball is in play, so we should aim at reducing the three true outcomes. An enlarged strike zone combined with restrictions on thin-handled bats would probably do great things for the game. Sadly, what I think makes the best baseball isn't necessary what the lords of baseball are trying to achieve.)
(and yes, I realize it's only one year of data)
Home runs hit to right and right-center field at Yankee Stadium, 2009
Before June 1, 2009:
Games: 23
NYY HR/HR per game: 32 / 1.39
Visitor HR: 20 / 0.87
% HR's by NYY: 61.5%
NYY Home Record: 14-9 / 0.609
On and after June 1, 2009:
Games: 58
NYY HR/HR per game: 67 / 1.16
Visitor HR: 24 / 0.41
% HR's by NYY: 73.6%
NYY Home Record: 43-15 / 0.741
2009 Regular Season:
Games: 81
NYY HR/HR per game: 99 / 1.22
Visitor HR: 44 / 0.54
% HR's by NYY: 69.2%
NYY Home Record: 57-24 / 0.704
The Yankees figured out how to clamp down on their opponents' deep fly balls to right field, while maintaining their own ability to exploit the short porch. This was most likely a combination of more innings being thrown by better and/or healthier pitchers, and conscious effort to steer fly balls towards the deeper left field.
For anyone interested in the stats, if you run a 2-sample Poisson test on the HR rates for the Yankees and their visitors for these two time periods, you get a p-value of 0.03 for the visitors (indicating a strong likelihood of a change in the visitors' HR rate to RF/RCF before/after June 1st), and a p-value of 0.40 for the Yankees (indicating no significant change in their HR rate). Or in other words, the visitors stopped hitting HR to RF/RCF, but the Yankees didn't.
The Yankees learned how to leverage the idiosynchrasies of their park, while (unsurprisingly) their visitors did not (or could not). If they hadn't, the HR totals there would have been even higher than they were...
Same way every park effect works - compare home rate to road rate.
In it, the Yankee Stadium 'projected' park factor by the pieces was higher than Citi (Mets) by .993 (rank of 16/30) versus .943.
Eiuther Yankee Stadium causes people to not advance on bases, or get thrown out, or maybe teams left a lot more people on than expected. Just looking at the data, one could observe that a park that improves home runs by a lot and walks by some, but is fairly neutral on hits overall (lowering , should not be a strong run supressant.
Biggest diff positive was Wrigley (how can it be 1.146 when no piece is really high?) and negative is Miller (Milwaukee)
Coors field is pretty consistently hitter-favorable when it comes to strikeouts, too. I wonder if the sunshine has anything to do with it as well.
To the degree that the pre- and post-June 1st splits are a function of broadly superior pitching, then "figuring out" has nothing to do with it - no one needs to "figure out" that good pitching is good. It's only to the degree that the splits are not a function of the quality of the pitchers that you've found something cool.
This would be a hard thing to isolate in part because I assume that good pitchers are going to be better at executing a strategy of minimizing flyballs to RF. But I'd be interested to hear how (or whether) you tried to isolate that.
No, I understand that. But this is where every park should be the same, with maybe a minor variance based on mound differences; batter's eye, as No. 14 suggests; and umpires. That the spread is as much as it is seems to undermine the other park data.
Batters eye should affect the ability to draw a walk as much as it does the ability to see the ball for the purpose of hitting it.
I'd imagine that, when given multiple years of data, the spread would be much closer. One year is a very small sample that can contain a lot of noise.
How do you know the Yankees didn't just get hot?
I may be mis-understanding things, but if a park's attributes lead to a preponderance of certain baseball situations, these situations could be more or less likely to produce BB's because of baseball (not park) reasons. So, walks maybe be mostly an indirect park effect, but still a valid one.
...unrelated: has anyone ever calculated/listed foul territory areas by park? (edit: I guess not as unrelated as I thought!)
I'm not 100% convinced myself, think of it as more of an observation that hopefully will be explained to an acceptable degree. Also a bit of a rebuttal to the idea that the early-2009 HR rate at NYS was a fluke; it was higher than what I suspect will turn out to be the "true" HR rate at NYS, but the later-season drop *may* have been a signal, rather than noise...
I did look at the pitchers involved, and, subject to the SSS problem, the more experienced pitchers (Sabathia, Burnett, Pettitte) seemed to show improvement, while the less experienced pitchers (Chamberlain and others, IIRC) did not.
If it is indeed the case that the "big 3" starters are the locus of the improvement, then I think that would bolster the theory that it was a conscious change, one which the pitchers with better command were better able to execute.
It certainly bears watching in 2010. I doubt there is enough data from 2009 to draw a firm conclusion on this...
And more offense in general. Didn't Candlestick suppress offense a great deal, in large part due to the huge foul territory? It seemed like guys fouled out all the time at the 'Stick. It put a premium on fleet-footed corner infielders, which is unusual.
People were carping about it being an extreme HR park. Even though it was the #1 HR by this metric, that 1.27 index is not close to being historically extreme. In fact, it is much less than what old Yankee Stadium was in 2005 (1.43 Index).
I'd imagine that there's also an element of choice there, too. If you look, PetCo has a higher than average amount of walks, but lower than every other type of offense. I'd imagine that hitters at PetCo are more likely to look for a walk, since their odds of getting a hit are so much lower.
I'm not certain, but I'd imagine there's some game theory involved as well.
Technically, that's just the name of the field and the Vikings sold it. See here. That wrong for the Twins. Most of the year it was Metrodome.
And seems to me that pitchers might be a little more willing to give up a walk in a pitcher's park, knowing that several hits are unlikely to follow.
Weather and team composition.
Weather I get, but team composition should be agnostic - again, you're trying to quantify how the park affects a hitter, not how the hitter affects the park.
again, the first 2 examples should be what park factor is trying to quantify. the last, however, is a very valid point. if the mets get unlucky and face the roy halladays and adam wainwrights of the league every time they're at home, but then face 5th-starter losers every time they're on the road, it will unintentionally affect park factor.
i would actually quantify that as a significant park change - like pushing back the fences =)
but yeah, i guess i see the point. in reality, despite it being 81 games, it really is small sample size, and you really have to look at multi-year park factors (again, assuming no significant park changes during those years).
Yep. 81 games is a small sample for players, and it's also a small sample for parks.
Original Yankee Stadium, great for LH pull hitters, death to RH pull hitters. One year, Yankees have all lefty power hitters and hit a lot more HR at home than on the road, next year they have all righty power hitters and hit more HR on the road than at home. It is an extreme example and not likely to actually happen, and it would be evened out some by the opposing teams' numbers, but you should be able to see where team composition could affect the PF, especially for individual components.
Sidenote: Chrome's spell checker is fine with "lefty" but flags "righty". Never noticed that before.
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