Literature DB >> 30136977

ForVizor: Visualizing Spatio-Temporal Team Formations in Soccer.

Yingcai Wu, Xiao Xie, Jiachen Wang, Dazhen Deng, Hongye Liang, Hui Zhang, Shoubin Cheng, Wei Chen.   

Abstract

Regarded as a high-level tactic in soccer, a team formation assigns players different tasks and indicates their active regions on the pitch, thereby influencing the team performance significantly. Analysis of formations in soccer has become particularly indispensable for soccer analysts. However, formations of a team are intrinsically time-varying and contain inherent spatial information. The spatio-temporal nature of formations and other characteristics of soccer data, such as multivariate features, make analysis of formations in soccer a challenging problem. In this study, we closely worked with domain experts to characterize domain problems of formation analysis in soccer and formulated several design goals. We design a novel spatio-temporal visual representation of changes in team formation, allowing analysts to visually analyze the evolution of formations and track the spatial flow of players within formations over time. Based on the new design, we further design and develop ForVizor, a visual analytics system, which empowers users to track the spatio-temporal changes in formation and understand how and why such changes occur. With ForVizor, domain experts conduct formation analysis of two games. Analysis results with insights and useful feedback are summarized in two case studies.

Year:  2018        PMID: 30136977     DOI: 10.1109/TVCG.2018.2865041

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  3 in total

1.  Consistency and identifiability of football teams: a network science perspective.

Authors:  D Garrido; D R Antequera; J Busquets; R López Del Campo; R Resta Serra; S Jos Vielcazat; J M Buldú
Journal:  Sci Rep       Date:  2020-11-12       Impact factor: 4.379

2.  DNN-based multi-output model for predicting soccer team tactics.

Authors:  Geon Ju Lee; Jason J Jung
Journal:  PeerJ Comput Sci       Date:  2022-01-20

3.  Goal or Miss? A Bernoulli Distribution for In-Game Outcome Prediction in Soccer.

Authors:  Wendi Yao; Yifan Wang; Mengyao Zhu; Yixin Cao; Dan Zeng
Journal:  Entropy (Basel)       Date:  2022-07-13       Impact factor: 2.738

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.