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OBJ-20Major Leagueidea · Research

Steal Lab

Speed alone doesn't steal bases. Break every attempt into the runner's lead and jump, the pitcher's delivery and the catcher's throw, and see what actually wins the race.

Concept sketch of a runner's lead off first base, with timers for the pitcher's delivery and the catcher's throw racing the runner to second
Coach questions
2
Asked on air
7×
Top question
Q-21

Coach questions it could answer

The playbook →

Data it needs

The data lake →

0 of 3 on hand; the rest arrives in phase 3, Every play.

The question

Stolen bases jumped after the 2023 rule changes, bigger bases and limits on pickoff throws. But the fastest runners aren’t always the best base stealers. What actually separates a good one, and what does good or bad baserunning cost a team over a season?

How it would work

  • For each steal attempt: the runner’s lead and jump, his sprint speed, the pitcher’s time to the plate and the catcher’s pop time.
  • A model of the chance of being safe from those pieces, so each runner’s success can be split into speed, jump and the battery he faced.
  • A baserunning ledger: runs gained or lost on steals, extra bases taken and outs on the bases, per player and per team.

First version

  • Every steal attempt of second base in one season, with the race drawn as four timers.
  • A leaderboard of base stealers by success above what their speed alone predicts.

The data

Statcast baserunning data (sprint speed, lead distance, jump), pitcher running-game times and catcher pop times, plus play-by-play for steal outcomes.

What it needs

  • Linking the pieces. Lead, jump, delivery and throw times come from different leaderboards and need to be matched attempt by attempt.
  • Before and after 2023. The rule changes moved the baseline, so the model has to be fit separately or adjusted for era.

Status

An idea on the launchpad. Nothing is built yet.