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Machine learning-driven defensive strategy in baseball: Estimating optimal defensive positioning for outfielders

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Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, Ahead of Print.
Recent trends in Major League Baseball (MLB), including the “fly-ball revolution” and restrictions on defensive shifts, have increased the defensive burden on outfielders. This study aimed to optimize outfield defensive positioning using machine learning ...