Fielding analysis and fantasy sports don’t mix. At least, they don’t mix yet. A scant decade ago, fielding analysis and sabermetrics didn’t mix either and sabermetrics has always been on the sharp edge on the spear of thinking in the sport. Sabermetricians have always been about value. Simply put, they

Lately I’ve been talking a lot about a recent study by Baseball Prospectus’ Russell Carleton in which he establishes the point at which certain statistics stabilize. I’ve been using it to look at the statistics that have passed their stabilization point already this season to identify some guys who have

Entering 2011, Jon Lester was a well-established pitcher.  In many leagues, he was a top 20-25 fantasy starter.  He was only expected to continue that trend, but in 2012, that all changed. Lester posted his worst SIERA since 2008, and his ERA and WHIP ballooned to 4.82 and 1.38, respectively.

It’s commonly accepted that BABIP tends to regress toward the mean. I cite the stat in virtually every article I write, and almost any fantasy writer who ascribes to sabermetrics will use it in a a lot of their pieces. But I think there is a problem with using BABIP

It is hard for the discerning baseball fan to cull through the mountains of data that follow baseball players these days. A simple look at Baseball Reference, Baseball Prospectus, or Fangraphs can send you through a tailspin. Let’s face it, many of us are beyond obsessed when it comes to