Visual soccer match analysis using spatiotemporal positions of players

Soccer is a fascinating sport that captures the attention of millions of people in the world. Professional soccer teams, as well as the broadcasting media, have a deep interest in the analysis of soccer matches. Statistical summaries are the most widely used approach to describe a soccer match. Howe...

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Bibliographic Details
Main Authors: Machado, Vinicius (Author) , Sadlo, Filip (Author)
Format: Article (Journal)
Language:English
Published: 18 August 2017
In: Computers & graphics
Year: 2017, Volume: 68, Pages: 84-95
ISSN:0097-8493
DOI:10.1016/j.cag.2017.08.006
Online Access:Verlag, Volltext: http://dx.doi.org/10.1016/j.cag.2017.08.006
Verlag, Volltext: http://www.sciencedirect.com/science/article/pii/S0097849317301358
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Author Notes:Vinicius Machado, Roger Leite, Felipe Moura, Sergio Cunha, Filip Sadlo, João L. D. Comba
Description
Summary:Soccer is a fascinating sport that captures the attention of millions of people in the world. Professional soccer teams, as well as the broadcasting media, have a deep interest in the analysis of soccer matches. Statistical summaries are the most widely used approach to describe a soccer match. However, they often fail to capture the evolution and changes of strategies that happen during a game. In this work, we present visual designs to help understanding a soccer match from the spatiotemporal position of players. We receive as input the coordinates of each player throughout the match, as well as the associated events. We present a pixel-oriented layout that summarizes the changes of player positions and tactical schemes during the match. Also, we revisit a technique used for flow analysis to help us identify where does a player move from a given region in the field. We developed our approach in conjunction with colleagues from physical education with experience in soccer analysis, as well as experts on soccer data extraction. We demonstrate the utility of our approach in several match situations, and provide the feedback given by the experts.
Item Description:Gesehen am 20.07.2018
Physical Description:Online Resource
ISSN:0097-8493
DOI:10.1016/j.cag.2017.08.006