Not trying to argue the point, but have you done statistical analysis on that year with regard to the rest of his career to see, statistically, how far outside the trend it ranges? Its been too long since my stats class to remember the term I'm referring to, maybe T-test and/or chi-square testing (thanks Wikipedia), but basically, to see if the values are truly inconsistant, or within some % of validity? Eh, there's a HUGE problem with doing that: Third variable/confounding variable/lurking variable/etc. Those methods you used are probability based, not this. When you run the regressions I think you come out to that 25% of run prevention is controlled directly by the pitchers (Ks/BBs,GBs, etc) the rest is dumb luck, park and defense. So trying to do anything on it is tough. There are ways to try to isolate these, but let's just say it's a pain and it won't tell us anything we don't already know. Mainly because the sample size will suck. One thing I can do is estimate the stdev for dERA or FIP minus the actual ERA. See how often he's on the extremes. Granted all that's going to tell us is that the cardinals defense is good, we already knew that.