With all the strides in sabrmetrics, I am surprised that I've never seen a companion number to the ERA, namely the variance. The ERA is a mean, and the variance would measure how far from the mean the individual games went away from that. A pitcher who gave up 5 runs in 9 full innings every game would have an ERA of 5.00, but so would a pitcher who gave up 2, 4, 4, 4, 5, 5, 7, 9*. But the first guy would have a variance of 0, while the second would have a variance of 2 - buncha calculations involving squares and square roots, not tough but I'll spare ya. Of course pitchers don't go 9, so the calculation would need to be slightly more involved, but I digress. The variance wouldn't tell you one was better, but would answer the question everyone wants to ask about consistency. I suppose I want a guy with an ERA above 5 to be INconsistent with a high variance, while I want the guy with an ERA below 3 to be CONsistent with a low one. Then there's Skew and Kurtosis, but now I am well out of my depth. * Anybody who runs to Wikipedia to check on this will find that I stole the numerical example for convenience, and to make sure I didn't make a silly math mistake.