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OverviewThis book provides an account of the use of computational tactical metrics in improving sports analysis, in particular the use of Global Positioning System (GPS) data in soccer. As well as offering a practical perspective on collective behavioural analysis, it introduces the computational metrics available in the literature that allow readers to identify collective behaviour and patterns of play in team sports. These metrics only require the bio-dimensional geo-referencing information from GPS or video-tracking systems to provide qualitative and quantitative information about the tactical behaviour of players and the inter-relationships between teammates and their opponents. Exercises, experimental cases and algorithms enable readers to fully comprehend how to compute these metrics, as well as introducing them to the ultimate performance analysis tool, which is the basis to run them on. The script to compute the metrics is presented in Python. The book is a valuable resource for professional analysts as well students and researchers in the field of sports analysis wanting to optimise the use of GPS trackers in soccer. Full Product DetailsAuthor: Filipe Manuel Clemente , João Bernardo Sequeiros , Acácio F.P.P. Correia , Frutuoso G. M SilvaPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2018 Weight: 1.591kg ISBN: 9783319590288ISBN 10: 3319590286 Pages: 79 Publication Date: 30 October 2017 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsBrief review about computational metrics used in team sports.- How to use the dots to analyze the behavior and the collective organization.- Individual metrics to characterize the player's behavior: variability in the trajectories and external load.- Metrics to measure the center of the team.- Metrics to measure the dispersion of the players.- Metrics to tactical analysis.- The use of computational metrics in case studies: from small-sided games to official 11 vs. 11.ReviewsI truly believe that the information generated in this way should be highly valuable for soccer coaches, in particular to improve the tactical behavior of a team. (Christian Meyer, SIAM Review, Vol. 61 (4), December, 2019) “I truly believe that the information generated in this way should be highly valuable for soccer coaches, in particular to improve the tactical behavior of a team.” (Christian Meyer, SIAM Review, Vol. 61 (4), December, 2019) Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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