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.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2019 program
|