Filipe Manuel Clemente

This book introduces the ultimate performance analysis tool (uPATO) as a new software to compute social network metrics in the scope of team sports analysis. The reader will identify the algorithms to test the general properties of the team, the co-dependencies and the centrality levels of players, i.e. to evaluate the individual, sub-group, and team performance analysis. As uPATO tool implements the metrics for all options, namely for unweighted graphs, weighted graphs, unweighted digraphs and weighted digraphs, it is also useful for network analysis into other areas beyond team sports. The book assists the reader to compute the metrics and to use it in different scenarios.

This 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.

This book systematically summarizes the accuracy, precision, and repeatability levels of field-based tests applied in soccer. It considers such details as the effectiveness of tests for different age categories and sexes. In this book, the readers will be able to check all the field-based tests conceived for fitness assessment in soccer through a large systematic review made to the literature. In addition a brief characterization of each test and presentation of the concurrent validity and repeatability levels for each test will be provided. Finally, the book contains a general discussion of the implications of the tests for different methodological approaches to training. It will be use to sports scientists and practitioners.

This book describes the structural and functional asymmetries in human body movement by providing cases and examples using illustrations and easy-to-understand scenarios. Specifically, it adopts an evidence-based approach to demonstrate (i) the role of structural (e.g., bone dimensions) and functional (e.g., hemispheric dominance) asymmetries in the human body; (ii) the asymmetric nature of most daily activities (e.g., gait, mastication); (iii) the benefits of asymmetry for physical performance; and (iv) the role of asymmetry in preventing injury. More than just a scientific book, it bridges the gap between theory and practice, and includes practical examples and applications. The book appeals to academics and practitioners in the fields of kinesiology, human movement, sports sciences, strength and conditioning, and physiotherapy.

This book reviews the general acute effects and adaptations of small-sided and conditioned games (SSCGs) in terms of physiological responses, technical performance and methodology/periodization in the game of soccer. It also reviews the many studies conducted in the past decade to investigate the influence of SSCGs on physiological responses and technical performance in soccer training. SSCGs, which are smaller and adapted versions of formal team sports, are very popular training drills for players at all ability levels and competitive levels and offer an alternative to traditional fitness training. Exploring their role in depth, this book offers a valuable resource for academics, researchers and coaches with an interest in developing improved training techniques for soccer.

Explaining how graph theory and social network analysis can be applied to team sports analysis, This book presents useful approaches, models and methods that can be used to characterise the overall properties of team networks and identify the prominence of each team player. Exploring the different possible network metrics that can be utilised in sports analysis, their possible applications and variances from situation to situation, the respective chapters present an array of illustrative case studies. Identifying the general concepts of social network analysis and network centrality metrics, readers are shown how to generate a methodological protocol for data collection. As such, the book provides a valuable resource for students of the sport sciences, sports engineering, applied computation and the social sciences.