What I learned after 3 months deep-diving into MLB Statcast data — 5 things that surprised me
I've been building a baseball analytics guide using real data from Baseball Savant, FanGraphs, and Baseball-Reference. Here's what genuinely surprised me:
Bobby Witt Jr.'s 2024 season was historically underrated. His 10.4 fWAR was more than double his preseason projection of 4.8, and his 171 wRC+ meant he was 71% better than the average MLB hitter. Traditional coverage barely captured how special it was.
The Astros' pitch tunneling system is more sophisticated than I expected. They don't just optimize spin rate — they use Hawk-Eye data to measure how similar two consecutive pitches look at the 20-foot decision point. Verlander's revival wasn't random.
Catcher framing is worth 2-3 WAR for elite framers. The gap between the best and worst framers in baseball is enormous and most fans have no idea it exists.
The ABS challenge system is already changing how teams prepare. Analytics departments now study individual umpire zone tendencies to decide when to use their challenge — it's become its own analytical problem.
Bobby Witt Jr. aside, the xBA vs BA gap was enormous for several players in 2024. Some guys hitting .230 had .285+ xBA — the market hadn't caught up yet by mid-season.
Happy to go deeper on any of these. What Statcast metrics do you all find most underused or misunderstood?