With the growing influence of athletic performance data in collegiate sports, well-known sports analytics services require lofty annual subscriptions that might be too expensive for some university athletic programs. This research encompasses the development of a data analytics web service for automating the process flow of analyzing and generating data visualizations for collegiate athletics. Developed as a case study through the University of North Georgia’s soccer teams, this web service provides a convenient interface for allowing student-athletes, coaches, and undergraduate researchers with custom data analytics and visualizations from the performance data collected during training sessions and matches. Lastly, this paper discusses the current state of the service and its utilization for aiding university athletic programs and undergraduate research.