Confessions of a Baseball Analytics Writer

Jack Leiter will always have a special place in my heart. The Rangers’ top pitching prospect was the subject of the very first article I wrote for FanGraphs, which talked about, among other things, the unbelievable carry on his fastball and how it could lead him to big-league success. But we haven’t checked in on Leiter in a while, and well, his Double-A numbers have been ghastly: a 6.24 ERA in 53.1 innings pitched has somewhat muted the hype surrounding the righty. Though it doesn’t really change our outlook on Leiter, it’s still unsettling to see.
Part of that has been his inability to throw strikes, as Leiter is issuing well over five walks per nine innings. But more importantly, Leiter has lost a significant amount of his signature fastball ride in pro ball. Statcast data was available for this year’s Futures Game, during which Leiter’s dozen or so fastballs averaged 16.1 inches of vertical break – a far cry from the 19.9 inches I calculated in that debut article using TrackMan data. It could be a small sample quirk, and yet, the general industry consensus is that Leiter’s fastball is no longer transcendent. That’s a genuine problem.
What might the reason be? Maybe Vanderbilt’s TrackMan device wasn’t properly calibrated (as suggested by Mason McRae), leading to imprecise readings. But if that’s true (and maybe it isn’t), how could we verify it? What I came up with this: Using velocity, spin rate, and spin axis data from the 2021 NCAA Division-I baseball season, I built a model that estimates the vertical break of four-seam fastballs from righty pitchers. Once completed, I grouped the data by the pitcher’s team and looked at which schools over- or under-shot the model. Those with the largest residuals, in theory, are prime suspects for having miscalibrated TrackMan devices. Read the rest of this entry »