isn't that a prime example of how unreliable stats can be? because they don't take things like this into account? that's an entire half-season worth of baseball that stats would have never predicted due to the "human element." Yeah, and that's why, like rluz pointed out, only an idiot will rely COMPLETELY on stats, as there is more to be said than just the raw numbers. Injuries happen, there are differences in age, platoons that allow for only favorable matchups, ability to play multiple/difficult positions, etc. But when it comes down to it, after looking at those other factors, stats will make the picture much clearer, or those factors will make the picture much clearer after looking at the stats. Look at Rick Helling, dude has one of the better ERA's on the team, so why aren't people getting excited about those numbers like they are about Eveland's, which aren't as good? Well, Helling is 35 versus 21 and has had injury problems, and thus doesn't factor into our long-term plans as he isn't expected to improve like Eveland. So there will always be a human component to compliment or clarify the stats. The thing that bothers me about this entire argument is when people point to the exceptions and say "See! Stats are totally unreliable". The point of statistical analysis isn't to predict everything with absolute certainty. It's too look at trends and say "what is the most likely thing to happen". Yeah, and stats, as a predictor can be somewhat shaky because they don't account for the things like injury, maturation, and declines. There are always unforeseen extraneous variables like the smokers getting hit by buses. They do, however, serve much better as a descriptor in looking back upon peformances and analyzing them. Hardy, for example, is easy to look back on and view the progression from bad to very solid numbers as he either became comfortable or recovered from injury, or both, while stats didn't accurately predict his performance this year because of those factors. They were, however, much more accurate once he appeared to be comfortable and healthy like the numbers he previously produced which led up to that prediction. Point is, it is very rare that we have a large enough sample to predict what will happen when an extraneous variable pops up. For example, if a guy was always a strict platoon player, it will be very hard to extrapolate those numbers to predict procuction in an everyday role. And if a guy is injured, it is next to impossible to accurately predict what will happen since you don't exactly have a mountain of data showing how he'll play with a right labrum that is at 79.8% of its full strength.