American Football Route Identification Using Supervised Machine Learning

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Football organizations spend significant resources classifying on-field actions. Since 2014, radio-frequency identification (RFID) tracking technology has been used to continuously monitor the on-field locations of NFL players. Using spatiotemporal American football data, this research provides a framework to autonomously classify receiver routes.

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