Well that should be the very reason why you should learn sabermetics, not shun them. With sabermetrics you learn about sample size that explains that series. 'Shun' isn't even close to describing how I view sabr. I like the stats, but they are not absolute and only explain results, not necessarily predict. What do you use to predict player/team performance? Well, I'm not betting on baseball, so I tend not to predict results. I don't see much value in personally spending copious amounts of time studying the deeper statistics, in order to predict an outcome of a baseball game. I have no use for that. I just listen/watch the game and hope my Cubs win. Stats are useful for fantasy baseball though. I think a manager should use stats to make lineups of course, and not go with gut feelings. However, something that bothers me is when stats betray us (like last years playoff series vs the D-backs), it's simply written off as 'fluke' or 'small sample size', which has just as much justification as a good excuse as gut feelings or hunches. How did "stats" betray us? "Stats" must be a nickname for Augie Ojeda.