At Paradigm, I work on baseball research and model testing across pitching and hitting. I use performance data to test theories, evaluate model recommendations and solve player development problems.
- Use baseball data to study problems across pitching, hitting and player development
- Test theories against real performance data and outcomes
- Evaluate model recommendations and dig into results that do not make sense
3–0 Swings
Questions the automatic 3–0 take: should hitters take the pitch, or could they be passing up their best chance to do damage?
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Horizontal Approach Angle: Same Movement, Different Path
Using data from every 2026 D1 pitcher, this thread examines how Horizontal Approach Angle relates to arsenal shape and why similar movement profiles and locations can reach the plate differently.
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Miss Distance: How Pitch Shape Changes the Margin for Error
This thread examines how far pitches can miss their ideal spot before contact outcomes change. Across the 50 D1 pitchers with the most innings in 2026, sliders gave up .112 more xwOBA on contact when misses were 6 to 12 inches.
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Kick Change: Shape vs. Game Value
I contributed research on pitch shape, repeatability and game outcomes using two years of D1 baseball data, with a focus on the kick change.
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REAPER: College to MLB Arsenal Changes
For this thread, I researched how six pitchers' college arsenals compared with REAPER's suggested shapes and what they later threw in MLB.
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