I am mostly neutral on the quantitative & hard data side of analytics. I trust that teams are finding data that helps them. My guess is that front offices have instructed analytics people to seek exit velocity (EV) and see that as their holy grail, with everything that goes into achieving a high EV and the benefits that come from putting a ball in play with high EV. I am also observing costs and downsides of chasing EV. I just see a lot of teams that all kind of look like each other (to me) in MLB today. Kind of like all those cookie cutter stadiums built in the 50s and 60s. The same, but different—but basically the same.
Another guess with my EV theory is that teams mostly know what the other teams are doing. “That team is going for EV, and so are we.” Different from Oakland 20 years ago and Oakland’s search for on base percentage (OBP), when other teams didn’t really pay heed to it.
The irony Oakland and the Moneyball story is that Michael Lewis didn’t really write much about the Oakland pitching staff in those years, which was very good. The story was mostly about the OBP.
With my theory about teams prioritizing EV, I also concede that I am likely to be wrong or only seeing a small part of the picture.
With all that said, I am more interested in the qualitative softer side of analytics, questions like “how did the Detroit Tigers sustain that hot streak in the end?” or “can pitch framing be coached” or “why is Jhoan Duran so poor in non-save situations” or “did Royce Lewis’s slump coincide with the Twins asking him to play second base?” or “why did all the Twins infielders except for Carlos Correa all go into a slump at the same time?” And so on,
Are these valid questions for an analytics department today? Is today’s analytics asking them?