A0657
Title: Optimizing game data: Efficient tagging and analytics for basketball
Authors: Mirko Carlesso - University of Brescia (Italy) [presenting]
Abstract: In the game of basketball, having effective data tagging tools and generating actionable insights from this data by means of statistical analyses is crucial for strategic decision-making and performance improvement. The aim is two-fold: (1) first, the focus is on an innovative data tagging application designed to optimize the capture of game data, balancing the trade-off between information reward and tagging time. The application aims to minimize the time required for data tagging while maximizing the analytical value derived from the tagged data, offering relevant benefits for basketball analytics; (2) second, how the use of statistical tools allows extracting actionable insights for coaches from the collected data is highlighted. The workflow encompasses an introduction to basketball analytics, a brief presentation of the data tagging application, and a comprehensive statistical analysis of the tagged data, demonstrating how coaches can leverage this information to enhance team performance and strategy.
