Using Deep Event-Level Data to Provide Quantitative Insights for Duke Women’s Soccer Team


A team of students led by researchers in the Computer Science Department and the coaching staff of the Duke Women’s Soccer (DWS) team will develop analytical tools to provide quantitative evaluations of individual players and whole teams. By applying machine learning techniques and other data science methods to deep event-level and individual player tracking data, students will generate key insights to aid the DWS coaching staff in performance optimization, match preparation, and tactical analysis.  This is an opportunity for students who are interested in gaining experience in sports analytics and want their work to have a direct impact on a top Duke athletics team.

Project Lead: Alex Hartemink