Pitch grades do not make the development decision.
A strong shape score says what tends to work across the league. It does not establish whether asking this pitcher to change this pitch is feasible, durable, or better than leaving the arsenal alone.
ShapeShift evaluates pitch-design interventions—not just pitch quality. It asks whether a pitcher should Keep, Reshape, or De-emphasize an offering, how much value the action may create, and what evidence would invalidate the recommendation.
A strong shape score says what tends to work across the league. It does not establish whether asking this pitcher to change this pitch is feasible, durable, or better than leaving the arsenal alone.
ShapeShift detects physical changes without looking at outcomes, retains failed and abandoned experiments, and compares treated pitches with similar not-yet-treated controls.
Leadership receives a decision memo, coaches receive checkpoints and stop rules, and analysts receive the complete validation and sensitivity trail.
Expected pitcher-positive runs per 100 pitches.
Estimated probability the new shape persists for 60 days.
Comparable historical pitches exist for the counterfactual.
Recommendation remains useful if location consistency worsens.
Muñoz, Andrés · RHP · slider · change date 2025-08-09
Do not pursue arm side break changes like the Muñoz, Andrés slider pattern.
Choose an option to inspect its decision case.
The locked average effect is +0.02 RV/100 — too small to justify broad redesign programs. The Muñoz slider analog shows a matched -0.29 RV/100 after an arm-side break and velocity shift, so the actionable call on that pattern is De-emphasize, while Keep remains the organizational default.
Matched, outcome-blind interventions with not-yet-treated controls. The diagnostic is designed to reject weak recommendations.
Locked 2025 matched event study · ATE +0.02 RV/100 · featured case -0.29
Target constrained to comparable RHP sliders with matched release profiles
Treated vs control pre-trend gap +0.01
381 matched pairs within pitch-family support
Locked effect +0.02 (80% CI includes ~0)
Muñoz, Andrés matched -0.29 over 10 controls
No model language. Three cues, measurable checkpoints, and stop rules that protect the rest of the arsenal.
ShapeShift separates intervention detection, outcome modeling, effect estimation, and recommendation. Each layer has a failure criterion.
Immutable weekly Statcast Parquet with provenance and QA.
Outcome-blind physical changepoints by pitcher and pitch.
Matched event study with not-yet-treated controls.
Keep / Reshape / Abandon under feasibility constraints.