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SABR FAQ - First Draft


rluzinski
  • 4 weeks later...

I used this for my senior paper in college (of course, about the Brewers):

 

Thanks. I found that one, but I believe those are yearly numbers. I was looking for something a little more disaggregate. It's a nice history however so I think I'll grab it anyway. Thanks again.

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  • 2 weeks later...

Does anybody know where you can download statistics (preferably at the lowest level possible (i.e. Player/Game/AB). Any format (.txt, .db, .xls, etc).

 

The easiest thing to do (that I've found):

 

1. Copy stats from ESPN.com or where ever and save in notepad (take spaces out of team names, WhiteSox for instance).

 

2. Open in excel (make sure to choose .txt) and choose "delimited" then "next" then "space".

 

At the end of the season I'll do it for league team stats and Brewer stats, so I can shoot them to you if you like.

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"In baseball, the danger of using small sample sizes boils down to a a phenomenon called regression to the mean. Most of you have at least heard of this concept, and practically everybody utilizes it intuitively in their everyday lives. Regression to the mean, simply put, is the tendency for any observation to be less extreme on subsequent observations."
Staturday: Small sample size

 

This is a must read.

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"I think I've been called, indirectly at least, a small sample size Nazi. I don't have the patience to discuss with anybody who insists on using small sample sizes as the basis for their argument. It's dangerous, it's wrong, and you should never, ever do it. Let's talk about why that is.

...

...for any player, you have "true skill" and "actual performance." We too often think that "actual performance" is "true skill." That's incorrect. A player has a true skill, and he utilizes that true skill to accumulate actual performance data. But those data are only random samples from his true skill."

 

This should be posted as a banner atop the forums... especially the bold part.

 

 

Forecasting performance based on regressing to the major league mean is actually remarkably accurate. Projecting a player's performance by simple regression to the league mean is almost as good as systems like PECOTA, Chone, or ZiPS.

Who knew? http://forum.brewerfan.net/images/smilies/wink.gif

 

Great read; thanks for sharing that rluz.

Stearns Brewing Co.: Sustainability from farm to plate
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Brewer Fanatic Contributor
RUSS. Welcome back!
"Dustin Pedroia doesn't have the strength or bat speed to hit major-league pitching consistently, and he has no power......He probably has a future as a backup infielder if he can stop rolling over to third base and shortstop." Keith Law, 2006
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Strikeouts are absolutely bad for a batter. The point is that an out on a ball in play is almost equally as bad. The key is to compare an out with an out, not an out with a BIP.

 

First a BTA sighting now a Russ sighting.... wow. Who's next?

"I wasted so much time in my life hating Juventus or A.C. Milan that I should have spent hating the Cardinals." ~kalle8

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  • 4 weeks later...
Strikeouts are absolutely bad for a batter. The point is that an out on a ball in play is almost equally as bad. The key is to compare an out with an out, not an out with a BIP.

 

pffft. Sometimes a BIP out is twice as bad as a K, especially if the bases are loaded with 1 out and Yasmani Grandel is catching a forkballer in the playoffs. Then maybe a K isn't so bad.

 

Timing is everything.

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