We could just look at a player's batting average and guess what that player will hit the next year. But instead we look at BABIP, park factors, GB%, LD%, FB%, IFFB%, HR/FB, baserunning and aging curves. There's even some work done trying to adjust for players against whom other teams will employ severe defensive shifts. The minor little peripherals can sometimes signal when there's a fundamental disconnect between what a player showed in a given year and what they can be expected to do going forward. Ok, HR/FB tells you everything that average distance a ball flies tells you and more. Information is important and looking at things in a different way can be usefull, but sometimes it's informational minutiae. Everything people are looking at functions at the very least of indicators of confidence in other data. If a pitcher's SwStr% matches up with their projected strikeout rate, I feel better about that being their real skill level. If a batter's average distance on flyballs matches up with their HR/FB, then we can feel pretty good the wind didn't just take a couple lucky ones into the basket. But when there is a disconnect in the data, it is not informational minutiae at all. Suddenly, that data becomes very relevant for predicting future performances. If you don't care enough to look into all of this stuff that's fine. But acting like we're just being pedantic doesn't change the underlying reality that these numbers can and do matter.