Are baseball fans the new silent majority?
Read More...Regular season baseball games outdrew Game 1 of the Stanley Cup Final in fifteen television markets Wednesday night, including NHL strongholds Pittsburgh and Detroit.
The Giants/Pirates game on Root Sports earned an 8.95 rating in Pittsburgh, beating Bruins/Blackhawks Game 1 (5.99) by 49% head-to-head. In Detroit, the Tigers/Royals day game earned a 7.46 on Fox Sports Detroit — beating Game 1 (5.75) by 30%.
Baseball won the battle in seven other ...
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< 1 2And for one day, he got to experience the life of Mariano Rivera.
As an extreme example, it's pretty obvious that Rick Ankiel didn't have it the day he threw 42 wild pitches and wasn't going to get it if he kept pitching. (The next game he pitched, granted it was the next season, he struck out 8 in 5 innings and didn't throw a wild pitch.) Or conversely, Kerry Wood struck out 20 guys in one game. Obviously he was really on that day. There is no reason to believe that he can't also be really off another day. (Cue jokes about him being off for the rest of his career.)
Your response to someone bringing up a study and multiple followups is to bring up an opinion and two anecdotes? Not very convincing.
We have an incredible amount of extremely reliable raw data. It's hardly impossible to winnow out irrelevant factors. If we can't draw a conclusion, given the mountain of evidence available, my singular genius tells me we're approaching the issue incorrectly.
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Btw, in general, when people write 'mgl has studied the issue and found x' that statement has no useful meaning.
Do you think athletes are robots that perform the same way every game?
But if you can't identify it based on previous innings, then pitchers don't in fact "have it."
This is an issue where, if you can't find it, then it's not there.
What does this mean?
Nope. They're inconsistent and have wide swings of performance. I certainly think it's possible that looking at weeks and months worth of data might be more predictive than looking at 3 innings. Even if those innings just happened.
I don't know for sure and I haven't even read the book. But if you're saying that a pitcher can have "it" for 3 innings and then lose "it", or not have "it" for 2 innings and then find "it", well the current state of having "it" or not doesn't really mean anything then.
Then I'm not sure what you are arguing, because I didn't say anything that disagrees with that. I'm saying that sometimes guys just have a bad day from the first pitch. And, along with at least one other on this thread, that when they do, they usually get pulled before they can get deep enough into a game for it to show up in a study that doesn't account for that.
Well, someone else brought up that point. I agree with it, because again these aren't robots we are talking about. And I'm not sure what "doesn't really mean anything then" unless that's just another way of saying "if you can't describe what "it" means then it doesn't exist."
Wait, didn't we have a huge thread about very good SPs pitching the 9th when they were "on"?
And didn't the data show that these very good SPs had like a 2.50 ERA in the 9th when they were "on"?
That seems contrary to your statement.
I don't know why you think it should, since good outcomes don't track all that closely with good efforts in baseball. But I find the idea preposterous that there aren't days when pitchers (hell, all athletes) are not perforing closest to their maximum ability (and others when they're not).
Let's look at it this way, for simplicity's sake (in reality, there'd be shades of it - and most days a pitcher is probably neither in a state of it or not it - and varying degrees of results).
You can have:
It/Good Results in Innings 1-2
Not It/Good Results in Innings 1-2
It/Bad Results in Innings 1-2
Not It/Bad Results in Innings 1-2
In innings 3-4, the guys in the first group may very well continue to produce at a higher level and the guys in Column 4 (the ones who don't get yanked first) may well continue to pitch poorly (with results to match). Meanwhile, the middle guys start to get results that more closely line up with their effort. But if you're trying to track that simply by examining the results, it looks like there's no correlation between pitching well one inning and continuing to do so the next inning.
So, to me, the research doesn't disprove that pitchers can't have "it." What it demonstrates is that we can't identify what "it" is simply by looking at the results.
It's more than just being hit hard. Not locating the plate, not hitting top speeds on pitches also factors in.
That seems to be what wee see in DMB, for instance.
Go look at the PitchFX data at Fangraphs. Pitchers' average fastball velocities swing multiple MPH from game to game. If that's not evidence to suggest that pitchers' sometimes "have it" and sometimes don't, I don't know what is. That early game results are not necessarily predictive of late game results doesn't change that fact. A pitcher might not even pitch worse with his B stuff. Given that Walter Johnson completed about 5/6 of his starts and had a career ERA around 2, I'm guessing he was able to to adjust when he didn't have his best stuff.
It's one thing to take Johnson's statement and say, "OK, but so what? It probably doesn't really affect the pitchers' effectiveness all that much whether they have their best stuff or not, and we can't really do anything with this knowledge anyway," and a totally different thing to say, "All of the evidence I've seen suggests this is largely or completely wrong." To react the latter way is to be the saber Murray Chass.
If anyone can link to the data, I'd appreciate it.
Re 60 and 64: if "having it" or "being on" doesn't actually mean a pitcher performs better, then I don't see how these concepts have any meaning. The claim becomes not only unfalsifiable, but also completely uninteresting. If Johnson pitched just as well when he didn't have the "good fastball," then who cares?
That Walter Johnson could still dominate without having his fastball is more a testament to his greatness than a debunking that players have bad days.
Ah yes, I remember that. It stems from this discussion and all its cross-posting. It was an... interesting thread.
I hope this is facetious. If the argument here is that "Walter Johnson had his good days and his bad days, but he was so damn great he managed to pitch just as well on his bad days," well, then, I really don't even know what to say.....
I fully believe the pitcher does in fact get better results when he's on (and worse when he's off), but that is is not absolute due to the multiple other factors that influence a pitcher's results (luck, the play of his opponents, the performance of the umpire, etc.).
Take Ray's true talent ERA 3.50 pitcher. That can mean that on any given day, at his normal abilities (the level of performance at which he's most commonly found), his results can fluctuate between 2.50 and 4.50.
But when he's on, maybe his range of outcomes fluctuates between 2.00 and 4.00. When he's off, between 3.0 and 5.0.
So by looking at the results, we can't identify whether a pitcher was on/off/or somewhere in the middle (and one reason why one inning's performance is not predictive of next inning's). But our inability to identify a pitcher's performance level through the results doesn't mean it's not there, nor that it doesn't have an affect on those results.
Now, whether only that which can be proved about baseball is interesting to you, that's your call. But I find that perspective rather narrow for my tastes.
Sorry, but this is incorrect. If it can't be measured, it's not there. Sure, there will be a lot of noise, as you say. But if pitchers are sometimes "on," let's say 25% of the time (or whatever), then the days they pitch very well for 7 innings will consist of a disproportionate share of the "on" days -- perhaps 50-60% of the time. And because they are "on" much more than usual in these games, then they should perform better in inning 8 (not always, but on average). But, in fact, they do not. The only way what you're saying could be true is if the "on" effect is very tiny compared to other variations -- maybe a reduction in true ERA of 0.10 or something. And if so, I would ask again: "who cares?"
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Well you could start by accurately quoting me. I didn't say "he managed to pitch just as well on his bad days," I said "without having his fastball" which is not the same thing. Not having your A pitch but still having your B and C pitch on a given day is not the same as not having any pitches at all on a given day.
Exactly. We can't predict it, and it's not easy if at all possible to differentiate from a game where a guy is just unlucky. But it's a reason. Sometimes when a guy says "I just didn't have it today" after a lousy performance, it's not just a line. If we can't see that this stuff happens in sports then we're trying to hard to live in a black and white world.
Whenever discussions of this type come up one always sees this type of statement repeated, and my question is always as follows: if your explanation is completely unfalsifiable and offers no predictive power, then why should be believe in it as opposed to magic pixies, angels in the outfield or whatever other crazy explanation we can come up with?
I'm not actually certain that this is a settled issue-just because we haven't found something yet, particularly when we haven't looked in all the right places yet, doesn't mean it doesn't exist. But the idea that regardless of what we find we're just going to keep believing in this, or that no amount of evidence would be sufficient to overturn this belief is troubling to me. Ultimately if explanations about guys "being on" or "having it" are correct that *has* to show up in the data somewhere or it's just magical thinking.
Or, if the actual on days are far fewer than 25 percent, which seems like an absurdly high percentage of the time to expect a pitcher to be at/near his optimal performance level.
I honestly don't care if this level of discussion doesn't interest you. But don't deign speak for the rest of us. Baseball interests me beyond that which can be precisely measured.*
*Or, that which can be measured at this particular moment. Perhaps someday an enterprising MGL-wannabe will figure out a way to isolate and measure this.
Oh please. There are many, many interesting things in baseball that can't be measured. Unfortunately, in this case you've selected a theory which, if it can't be measured, actually isn't true. And I plead guilty to not being interested in factors that do not actually exist. PBAF said it well:
This I agree with. Like I said, if it's possible, it's not easy.
Well, I think it's foolish to automatically waive away what we can't measure and say it's because it doesn't exist. We can't measure work ethic, but we know it exists.
There's a difference between a true 3.50 ERA pitcher giving up 3 runs in an inning because of randomness centered around his base talent level, and this same pitcher giving up 3 runs in an inning because he actually took the mound in that inning as a 5.50 ERA pitcher.
Flip a six-sided die 10 times and you might get 2261552224 -- but that doesn't mean the die is weight towards landing on 2.
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