The Research Group is Moving!

During winter term 2021/22, we move to University of Bamberg. From Oct. 15, 2021, Fabian Beck holds a full professor position on Information Visualization.

New webpage of the research group:


Publications of the research group since 2016. For earlier publications, please visit Fabian Beck's Google Scholar or DBLP profile.

A Matrix-Based Visual Comparison of Time Series Sports Data

Type of Publication: Article in Collected Edition

A Matrix-Based Visual Comparison of Time Series Sports Data

Beck, Fabian; Burch, Michael; Weiskopf, Daniel
Title of Anthology:
Vision, Modeling & Visualization
The Eurographics Association
Publication Date:
Digital Object Identifier (DOI):
A Matrix-Based Visual Comparison of Time Series Sports Data (3.03 MB)
Download BibTeX


In sports, large amounts of data are measured and stored with the help of modern sensors and electronic devices. In particular, for endurance sports events, time-varying data are recorded and can be used to analyze the athletes' performance. Finding patterns and issues can help better understand results in sports competitions, which is of interest for the athletes, sports managers, and trainers alike. In this paper, we introduce a matrix-based approach to visually compare similar and dissimilar periods in performances of athletes. We differentiate the performances and visually encode these differences as color-coded matrix cells. The strengths of our approach are illustrated in a case study investigating the performances of two riders in the prologue of Tour de France 2012.