What affect does an extreme H%, and its subsequent regression, have on scoring stats? Our first hypothesis is that a H% greater than 34% might result in a higher Dom rate. Pitchers with an inflated H% face more batters than they "normally" would, since batters are reaching base that otherwise might be retired. Therefore, pitchers have more opportunities to strike out hitters, leading to an inflated Dom -- which would return to a lower level upon H% regression.

When it comes to new ballparks or changing dimensions, what do fantasy owners really want to know? Of course, the first question usually relates to the number of homers that can be expected. Quickly followed by "Will it be a pitcher's park or a hitter's park?" After careful analysis of the Marlins spectacular new stadium and the changing dimensions at Citi Field, the answers should become obvious.

The Santana Plan is a fantasy baseball roster construction strategy. The Santana Plan is similar to the LIMA Plan except that it advocates that one purchases an elite starter or "Santana Plan anchor." In this article, we will review the Santana Plan strategy. We now have a three-year track record at identifying Santana Plan anchors, so we will revisit how well it has worked in practice, and conclude by identifying the Santana Plan anchors for 2012.

The complete overview of the Mayberry Method

The concept of numeric literacy, and how to exploit it in your leagues.

Are players worth targeting after posting a 10-game hitting streak?

Is there a way we can avoid drafting players who are about to suffer epic collapses?

In short, should we use the new, highly complex version of xERA or switch to a simpler metric?

Accurately evaluating a player's future performance is essential for building a successful franchise. But, how do we arrive at these judgments?

First, do players get "hot" (defined by a hitting streak) more often than we would expect by chance? And second, do players who have hitting streaks of at least 10 games, show improved performance over the next 10 games? If so, we should target these players.

The question, then, is whether we can estimate the "correct" hr/f for a given player. An even more important question is whether we can use that information to predict regression from one season to the next. In two words: yes and yes.