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. The whole point is that while baseball, as a game played out over 6 months of 162 games, is fairly predictable, any one game, or a series of 3, 5 or 7 games, is entirely unpredictable. Every manager and general manager damn well better use stats to build and run their ballclub. There's no need for any fan to do so, unless they really have a passion for how things work and why. And no, the notion of gut feelings and hunches are not as good as an excuse as small sample sizes.