Quantifying Baseball Pitch Tunneling with K-Nearest Neighbors

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oliverc1622 · 2h ago

I used K-Nearest Neighbors to cluster pitches based on release point and movement data. The core idea: a high-variety cluster (e.g., fastballs, sliders, curveballs all originating from a similar-looking delivery) signifies effective tunneling. You can look up your favorite pitcher in the app.

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Quantifying Baseball Pitch Tunneling with K-Nearest Neighbors

Comments (1)