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.
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.