This book offers a comprehensive overview on the methods and concepts of theoretical and practical performance analysis. Observational systems for action detection and tracking systems for position detection are introduced, starting from basic methodological principles. The issue of reliability testing is addressed for both methods, and examples of successful applications are provided. The distinction between theoretical and practical performance as essential conceptual achievement is explained in two separate chapters. Most recent theoretical models of game sports are presented, including the dynamical systems perspective, stochastic modelling, and contingency or chance as part of the game. The practical chapter introduces the concept of comprehensive performance analysis as appropriate background. It deals with qualitative methods used for assessing player and team performances, strategy development, and methods and principles of video tactic training for successful transfer of the results of analyses. The book will be of value to all with an interest in the dramatically increasing impact of performance analysis in game sports.

Filling an important gap in performance analysis literature, this book introduces the key concepts and practical applications of performance analysis for team sports. It draws on cutting-edge research to examine individual and collective behaviours across an array of international team sports. Evidencing the close relationship between coaching and performance analysis, it promotes a better understanding of the crucial role of performance analysis in team sports for achieving successful results. This book not only presents a variety of different ways to analyse performance in team sports, but also demonstrates how scientific data can be used to enrich performance analysis. Part one delineates the main guidelines for research in performance analysis, discussing the characteristics of team sports, coaching processes, variables characterizing performance and methods for team member interaction analysis. Part two drills down into performance analysis across a range of team sports including soccer, basketball, handball, ice hockey, volleyball and rugby. Performance Analysis in Team Sports is an essential companion for any course or research project on sports performance analysis or sports coaching, and an invaluable reference for professional analysts.

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Modern techniques of sports performance analysis enable the sport scientist, coach and athlete to objectively assess, and therefore improve upon, sporting performance. They are an important tool for any serious practitioner in sport and, as a result, performance analysis has become a key component of degree programmes in sport science and sports coaching. Research Methods for Sports Performance Analysis explains how to undertake a research project in performance analysis including: selection and specification of a research topic the research proposal gaining ethical approval for a study developing a performance analysis system testing a system for reliability analysing and discussing data writing up results. Covering the full research cycle and clearly introducing the key themes and issues in contemporary performance analysis, this is the only book that sports students will need to support a research project in performance analysis, from undergraduate dissertation to doctoral thesis. Including case studies, examples and data throughout, this book is essential reading for any student or practitioner with an interest in performance analysis, sports coaching or applied sport science.

To understand the dynamic patterns of behaviours and interactions between athletes that characterize successful performance in different sports is an important challenge for all sport practitioners. This book guides the reader in understanding how an ecological dynamics framework for use of artificial intelligence (AI) can be implemented to interpret sport performance and the design of practice contexts. By examining how AI methodologies are utilized in team games, such as football, as well as in individual sports, such as golf and climbing, this book provides a better understanding of the kinematic and physiological indicators that might better capture athletic performance by looking at the current state-of-the-art AI approaches. Artificial Intelligence in Sport Performance Analysis provides an all-encompassing perspective in an innovative approach that signals practical applications for both academics and practitioners in the fields of coaching, sports analysis, and sport science, as well as related subjects such as engineering, computer and data science, and statistics.

This collection of essays and reviews represents the most significant and comprehensive writing on Shakespeare's A Comedy of Errors. Miola's edited work also features a comprehensive critical history, coupled with a full bibliography and photographs of major productions of the play from around the world. In the collection, there are five previously unpublished essays. The topics covered in these new essays are women in the play, the play's debt to contemporary theater, its critical and performance histories in Germany and Japan, the metrical variety of the play, and the distinctly modern perspective on the play as containing dark and disturbing elements. To compliment these new essays, the collection features significant scholarship and commentary on The Comedy of Errors that is published in obscure and difficulty accessible journals, newspapers, and other sources. This collection brings together these essays for the first time.

Making sense of sports performance data can be a challenging task but is nevertheless an essential part of performance analysis investigations. Focusing on techniques used in the analysis of sport performance, this book introduces the fundamental principles of data analysis, explores the most important tools used in data analysis, and offers guidance on the presentation of results. The book covers key topics such as: The purpose of data analysis, from statistical analysis to algorithmic processing Commercial packages for performance and data analysis, including Focus, Sportscode, Dartfish, Prozone, Excel, SPSS and Matlab Effective use of statistical procedures in sport performance analysis Analysing data from manual notation systems, player tracking systems and computerized match analysis systems Creating visually appealing ‘dashboard’ interfaces for presenting data Assessing reliability. The book includes worked examples from real sport, offering clear guidance to the reader and bringing the subject to life. This book is invaluable reading for any student, researcher or analyst working in sport performance or undertaking a sport-related research project or methods course

Journey "inside the numbers" for an exceptional set of statistical tools and rules that can help explain the winning, or losing, ways of a basketball team. Basketball on Paper doesn't diagram plays or explain how players get in shape, but instead demonstrates how to interpret player and team performance. Dean Oliver highlights general strategies for teams when they're winning or losing and what aspects should be the focus in either situation. He describes and quantifies the jobs of team leaders and role players, then discusses the interactions between players and how to achieve the best fit. Oliver conceptualizes the meaning of teamwork and how to quantify the value of different types of players working together. He examines historically successful NBA teams and identifies what made them so successful: individual talent, a system of putting players together, or good coaching. Oliver then uses these statistical tools and case studies to evaluate the best players in history, such as Magic Johnson, Wilt Chamberlain, Bill Russell, and Charles Barkley and how they contributed to their teams' success. He does the same for some of the NBA's "oddball" players-Manute Bol, Muggsy Bogues, and Dennis Rodman and for the WNBA's top players. Basketball on Paper is unique in its incorporation of business and analytical concepts within the context of basketball to measure the value of players in a cooperative setting. Whether you're looking for strategies or new ideas to throw out while watching the ballgame at a sports bar, Dean Oliver'sBasketball on Paper will give you amazing new insights into teamwork, coaching, and success.

Dynamics of Skill Acquisition, Second Edition, provides an analysis of the processes underlying human skill acquisition. It presents the ecological dynamics multidisciplinary framework for designing learning environments that foster skill development.

One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Second Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. The book gives you all the tools necessary to answer key questions in sports analysis. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analyses. The book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter. Features Covers numerous statistical procedures for analyzing data based on sports results Presents fundamental methods for describing and summarizing data Describes aspects of probability theory and basic statistical concepts that are necessary to understand and deal with the randomness inherent in sports data Explains the statistical reasoning underlying the methods Illustrates the methods using real data drawn from a wide variety of sports Offers many of the datasets on the author’s website, enabling you to replicate the analyses or conduct related analyses New to the Second Edition R code included for all calculations A new chapter discussing several more advanced methods, such as binary response models, random effects, multilevel models, spline methods, and principal components analysis, and more Exercises added to the end of each chapter, to enable use for courses and self-study