Tag: sabermetrics

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Let’s backup how I give out fielding in WAR. Every DH gets -2.25 wins per 700 PA of positional...

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Let’s backup how I give out fielding in WAR. Every DH gets -2.25 wins per 700 PA of positional adjustment. Every bad-fielding 1B gets -1.25 of positional adjustment and -1.00 wins of poor fielding. Thus, whether Frank Thomas plays 1B or DH, he’ll get -2.25 wins (relative to average) in fielding+position. That’s his "defense" score. Bill however proposes something else. And if I use his logic, then rather than -2.25 wins per 700 PA, I should do -2.25 wins per 460 outs.

More DH and fielding | Tango @ THEBOOK This is your sabermetric wow moment for the day. Make sure and read through the comments (up to #24) for the punchline.

...this chart is just one more way of showing us what we already knew: the Twins had a talented...

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...this chart is just one more way of showing us what we already knew: the Twins had a talented squad in 2010. But there's also a by-product: replacing and replicating that talent might prove to be a challenge.

2010 Twins WAR Distribution | Jesse @ Twinkie Town Jesse uses BtB analysis to make conclusions about his 2010 Twins team.

I’ve added a new stat to the PitchF/x section, "Pace", inspired by this post over at Beyond the Box...

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I’ve added a new stat to the PitchF/x section, "Pace", inspired by this post over at Beyond the Box Score, which shows how much time each pitcher takes in between his pitches...

David Appelman | Fangraphs You know you're doing something right when... (great work from DBITL, btw)

So I’ve put together a nifty little wOBA calculator that does just that. It’ll likely spit out...

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So I’ve put together a nifty little wOBA calculator that does just that. It’ll likely spit out slightly different results than the ones you’ll find on FanGraphs or StatCorner, and that’s because it works a bit differently than they do. First and foremost, I’m allowing you to set the league rate to whatever you would like it to be. One of the criticisms I’ve heard of wOBA is that the rate it’s scaled to (OBP) isn’t as intuitive as, say, batting average. And this is true. So if you feel inclined, plug in your desired league rate—say .260—and you’ve got yourself a weighted batting average...

JT Jordan | The Hardball Times If you're a spreadsheet guy (that's why you're here, right?), this is for you.

The biggest knock inside baseball circles on Banny — other than the obvious knock that he doesn’t...

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The biggest knock inside baseball circles on Banny — other than the obvious knock that he doesn’t have a dominant pitch — has been his tinkering. There are quite a few players out there who understand and consider the advanced stats, but nobody did it as publicly or as intensely as Brian. He took a lot of bleep for it. Banny has a mathematical mind. He just thinks that way. So when he had a very good rookie season in 2007...

Joe Posnanski | Banny Log Once More Is there a better candidate for future saber-approved manager than Brian Bannister? I don't think so.
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