Editing Equivalent average (section)

==Definition and rationale==

In the formula given in the box above, the abbreviations are H=Hit, TB=Total bases, BB=Bases on balls (walks), HBP=Hit by pitch, SB=Stolen base, SH=Sacrifice hit (typically, sacrifice bunt), SF=Sacrifice fly, AB=At bat, CS=Caught stealing.

EqA is one of several [[sabermetrics|sabermetric]] approaches which validated the notion that [[minor league baseball|minor league]] hitting statistics can be useful measurements of [[Major League Baseball|Major League]] ability. It does this by adjusting a player's raw statistics for park and league effects.

For instance, the [[Pacific Coast League]] is a minor league known to be a very friendly venue for hitters.  Therefore, a hitter in the PCL may have notably depressed raw statistics (a lower batting average, fewer [[home run]]s, etc.) if he were hitting in another league at the same level.  Additionally, in general the level of competition at the PCL is lower than that in the Majors, so a hitter in the PCL would likely have lesser raw statistics in the Majors.  EqA is thus useful to strip certain illusions from the surface of players' raw statistics.

EqA is a derivative of Raw EqA, or REqA. REqA is (H + TB + 1.5*(BB + HBP + SB) + SH + SF) divided by (AB + BB + HBP + SH + SF + CS + SB). REqA in turn is adjusted to account for league difficulty and scale to create EqA.

EqA has been used for several years by the authors of the ''[[Baseball Prospectus]]''.  It is also one of the statistics predicted for each hitter in Baseball Prospectus's annual [[PECOTA]] forecasts.

EqA is scaled like a batting average, which is the number of safe hits divided by the number of official at bats. However, Davenport EqA aims to capture not so many hits per at bat but instead "runs produced per at bat".<ref>For this interpretation see Clay Davenport, "Davenport Translations Q & A," ''Baseball Prospectus 2000'', [[Christina Kahrl|C. Kahrl]], [[Clay Davenport|C. Davenport]], [[Joe Sheehan|J.S. Sheehan]], and [[Rany Jazayerli|R. Jazayerli]], Eds., (Washington, D.C.: Brassey's Sports, 2000): 3-6.</ref>  In that sense, EqA is akin to a larger family of run estimators that sabermetricians use.