Name
Player Tracking in Sports Analytics
Date & Time
Friday, April 11, 2025, 2:20 PM - 3:30 PM
Description
Player tracking data offers a great opportunity for creating performance metrics in sports. This workshop will provide a detailed walkthrough of how to build a metric with player tracking data. We will focus on American football and use data provided by the NFL Big Data Bowl competition. The workshop will feature (1) an overview of tracking data and basic visualization and data preprocessing; (2) metric formulation and application to NFL data; and (3) metric validation and statistical properties of sports metrics.
Session Type
Workshop
Title
Building a performance metric with player tracking data
Abstract
Player tracking data offers a great opportunity for creating performance metrics in sports. This workshop will provide a detailed walkthrough of how to build a metric with player tracking data. We will focus on American football and use data provided by the NFL Big Data Bowl competition. The workshop will feature (1) an overview of tracking data and basic visualization and data preprocessing; (2) metric formulation and application to NFL data; and (3) metric validation and statistical properties of sports metrics.
Speaker Bio
Quang Nguyen is a third-year PhD student in the Department of Statistics & Data Science at Carnegie Mellon University. His current research focuses on statistical analysis of complex data such as player tracking data in sports and network data. Quang previously received his MS in Applied Statistics from Loyola University Chicago and BS in Mathematics and Data Science from Wittenberg University in Springfield, Ohio. He is a two-time NFL Big Data Bowl finalist, and a die-hard supporter of Manchester United.
Speaker Headshot
