Re: 2009 Boston Red Sox
Tony - you're getting into opinion mixed as stats.
Well, I mean, you asked for my opinion...
You can't know how much two different ballparks affects an individual hitter.
Yes, you can.
It's very quantifiable. There are thousands and thousands of at bats worth of data to analyze to
very reliably quantify park factors and adjust the numbers as such.
and the degree assigned is totally up to the whim of the person creating the model, usually to support a pre-conceived notion.
What pre-conceived notion? If you're a baseball statistician, you're going to want to create an accurate model, not one based on your own biases. What the hell is the point of creating a model to accurately judge whether or not a team should sign a certain player if you base it on your biases? Inefficiencies are not your friend, especially to a statistician.
Now, lets take batting average as an example of a "bad stat" in your opinion. Batting averages over the last 75 years have some remarkable consistancies. Nobody's reached .400 since 1941. The league leaders fluctuate but generally hit in the mid .300's (with some exceptions - Yaz's .301 in '68 for example). Also, batting below .200 over time and your career is generally over pretty quick. So put your mind to this - despite all the changes in baseball over the years, from park size, expanded rotations, changes in the height of the mound, relief pitchers, specialists, etc - MLB batting averages still stay with a typical 150-175 point range no matter the era. There wasn't a time where batting 450 was the norm, nor one where 200lead the league. The stats you're so quick to dismiss tend to compare players a lot better than you think.
Lets take RBI's. Nobody's ever hit 200 of them in a season. The norm for leading the league, even in a good year, is about 150. Not sure if anybody has lead with less than 100. Once again, across eras and with all the changes, that range is pretty consistant. Funny, since the stat is meaningless. I think, while deep diving into other stats might be amusing, you can learn a lot using these time-proven assessments as your base.
How in the world does the 'consistency' of a stat's range have anything to do with its value toward ranking hitters? OPS, OPS+, Runs/Wins Created... all of these stats' ranges stay relatively consistent over the years as well. That has literally nothing to do with how valuable they are as statistical predictors.
Also, if you have a guy hitting .200, chances are his OPS+ and other newfangled stats are going to be bad as well. But, what if he went 100 for 500 over the course of the year with 50 HRs and 40 doubles, and walked 100 times? Is he still a bad hitter?
That's why batting average is a dumb stat. There is
so much more to it than that number. Which is why OPS+, which looks at how often the guy gets on base as well as how often he gets an extra base hit, and factors in park adjustments, is a
much better stat to look at. It actually takes into account batting average, but looks far deeper.
It also avoids ludicrious notions like JD Drew is one of the best players in the league over his Red Sox career.
No one said that, so you can stop putting words in my mouth (on my fingertips? Whatever
).
On another note, have you ever read Moneyball? Serious question.
This quote about the book from the awesome website
FireJoeMorgan.com (The website primarily deals with lampooning bad sports journalism) pretty much sums up my entire argument against you:
Moneyball is a very good book by Michael Lewis, which chronicles the ways in which Oakland A’s General Manager Billy Beane tries to keep his team competitive with a small payroll. The clunky and incorrect understanding of the Moneyball philosophy is that it simply involves getting players to walk a lot and hit home runs. In reality, what Moneyball deals with is the search for inefficiencies in the complex world of evaluating baseball players. At the time the book was written, Billy Beane and his crew had determined that there were players who weren’t fast runners, maybe, or were fat, or short, or otherwise had some kind of superficial thing “wrong” with them that made other GMs dismiss them as not good baseball players. But these players were actually good at baseball, and because other people had undervalued their skills (skills like walking a lot, for example) Beane was able to draft them or trade for them and not pay them a lot of money, because no one else wanted them.
These days, enough people have caught on to the idea that on-base percentage is important that such players are not undervalued anymore, and so GMs like Beane, who have to put a team together with a $50 million payroll instead of, say, the Yankees’ $200 million payroll, are looking elsewhere for value.
The book rubbed a lot of traditionalists the wrong way, because it takes the obvious and yet somehow controversial position that the massive amount of observable data we can collect from a baseball player’s performance is more important than that player’s like physical strength or speed in the 40 yard dash. Beane, and others like him, believe that it doesn’t matter if a guy looks like he should be awesome at baseball – it matters if he is actually good at baseball. It doesn’t matter if some crusty old scouts who have been in baseball for seventy years look at a guy and say, “He’s fast, he’s got a cannon for an arm, he’s got a strong jaw line – dadgummit, that thar boy’s gonna be a star!” It does matter if the guy walks a lot and can hit well or is an awesome fielder or something. Seem obvious? Try telling fans of Darin Erstad. They will tell you that he is awesome because he is intense and used to play football at Nebraska. You will blink, confused, and say, “But he can’t hit well,” and they will say, “HE WAS A PUNTER AT NEBRASKA! HE IS INTENSE AND A LEADER!” and you will slink away because they are spitting on you.