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Activity Number: 87 - SPEED: Statistics in Sports; Physical Activity/Sleep Studies, and Nonparametrics Part 2
Type: Contributed
Date/Time: Sunday, July 28, 2019 : 4:00 PM to 4:45 PM
Sponsor: Section on Statistics in Sports
Abstract #307482
Title: Application of Data Analytics and Visualization in NCAA Division III Men’s Basketball
Author(s): Thomas Rhomberg*
Companies:
Keywords: Sports Analytics; Data Visualization; Offensive Efficiency; Division III; Basketball
Abstract:

My role within the Loras College Basketball program offers me the opportunity to perform basketball analytics at the Division III level. The resources available to a statistical analyst in Division III is limited and requires largely manual data collection. I analyze offensive efficiency based on pace of play and shot quality to understand when the team scores the most points per possession during a game. To make this data presentable to the coaching staff, I build dashboards using data visualization software and compile reports with my summaries. My role with the Loras College Basketball team provides a glimpse into the work required to provide data driven solutions to a basketball team and the level of analysis capable of being completed by a one-man analytics department.


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