Filipe Manuel Clemente – författare

This book systematically summarizes the accuracy, precision, and repeatability levels of field-based tests applied in soccer. In addition a brief characterization of each test and presentation of the concurrent validity and repeatability levels for each test will be provided.

This SpringerBrief provides a concise, evidence-informed guide to using mobile applications to measure and monitor human sports performance, turning a smartphone into a practical ‘lab in your hands’. It synthesizes what can (and cannot) be measured with apps and connected wearables, and it translates research concepts (validity, reliability, sensitivity, and meaningful change) into procedures for coaches, sport scientists, clinicians, and students.Across strength, power, speed, agility/change-of-direction, physical health and readiness, training-load monitoring, and kinematic/technique analysis, the book explains the underlying principles, typical measures, and the most frequent sources of measurement error. Each topic is organized around real-world workflows: device setup, test standardization, data capture, quality control, interpretation, and reporting. The emphasis is on decision-making, i.e., how to select an app, evaluate whether its outputs are trustworthy for the intended use, and integrate multiple data streams into training prescription and athlete management.The primary audience includes sport and exercise scientists, strength and conditioning professionals, performance analysts, physiotherapists/sports medicine practitioners, and postgraduate students seeking a compact reference for field-based performance measurement using mobile technologies.

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.

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