Document Type
Article
Language
eng
Publication Date
2019
Publisher
Institute of Electrical and Electronic Engineers (IEEE)
Source Publication
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)
Source ISSN
9781728126074
Original Item ID
DOI: 10.1109/COMPSAC.2019.10190
Abstract
Sports data analysis and visualization can be a useful tool for gaining insights into the games. In this paper, we present a new technique to analyze and visualize shot patterns in tennis matches. Tennis is a complicated game that involves a rich set of tactics and strategies. The current tennis data analyses are usually conducted at a high level that often fail to show useful patterns and nuances embedded in low level data. Based on a very detailed database of professional tennis matches, we have developed a system to analyze the serve and shot patterns so that a user can explore questions such as "What are the favorite patterns of this player? What are the most effective patterns for this player?" This can help tennis experts, players, and fans gain deeper insight into the sport.
Recommended Citation
Pokharel, Shiraj; Zhu, Ying; and Puri, Satish, "Micro-Level Analysis and Visualization of Tennis Shot Patterns with Fractal Tables" (2019). Computer Science Faculty Research and Publications. 34.
https://epublications.marquette.edu/comp_fac/34
Comments
Accepted version. 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), (2019): 97-102. DOI. © 2019 Institute of Electrical and Electronic Engineers (IEEE). Used with permission.