A data-driven analysis of spatiotemporal cues and experience accumulation effects for pitch type prediction
Ryota Takamido, Chiharu Suzuki, Hiroki Nakamoto
This paper uses machine learning to analyze spatiotemporal cues in baseball pitching data, finding that whole-body information and opponent-specific experience significantly improve pitch type prediction.
PLoS ONE · Feb 27, 2026Peer-reviewedAnimal Behavior & Cognition