Match analysis is a performance-diagnostic procedure, which can be used to carry out systematic gaming analysis during competition and training. The analysis of team and racket sports, whether in competition, for opponent preparation (match plan), follow-up, or training is nowadays indispensable in many sports games at different levels. This analysis nevertheless presents many open questions and problem areas: Which data should be used? Who manages the data? Who provides whom with which information? How is this information presented, digested, and applied? The more complex and anonymous the data management is, the more commercial, expensive, and uncontrollable information management and provision becomes. Match Analysis: How to Use Data in Professional Sport is the first book to examine this topic through three types of data sets; video, event, and position data and show how to interpret this data and apply the findings for better team and individual sport performance. This innovative new volume is key reading for researchers, students, and practitioners alike in the fields of Coaching, Performance Analysis, Sport Management, and related specific sport disciplines.

This handbook provides professionals and academics working in football with a better understanding of match analysis systems, and combines cutting edge football analysis theory with practical guidance.

Appealing to a wide audience, this ground-breaking handbook takes an in-depth look at soccer match analysis, highlighting the latest in match analysis research and the innovative technologies now being used by professional soccer clubs around the world. Bridging the gap between research, theory and practice, these methods can be used by coaches, sport scientists and fitness coaches to assess and improve: styles of play, technical ability and physical fitness objective performance feedback to players the development of specific training routines use of available notation software, video analysis and manual systems understanding of current academic research in soccer notational analysis. This is the first book to focus exclusively on football, and is based on the authors' extensive experience in academic and professional match analysis.

Match analysis in soccer has become more and more important in recent years. Nowadays, no professional soccer club plays a single match without having analyzed their own and their opponents’ matches to find the best possible match plan and maximize their success. In this book, Ian M. Franks and Mike Hughes explore soccer analyses and use the results to develop realistic, progressive practices to improve the performance of the individual players and the team. Research from human decision making and motor skill acquisition is directly applied to the coaching process and technical and tactical practices are designed to accommodate these findings. Not only is the players’ behavior during practice and matches analyzed but the coaches’ as well. This helps evaluate different coaching practices to find your ideal coaching style. Any coach reading this book will find help in developing and improving their coaching. Anyone who wishes to delve more into the science of soccer analysis will find ample material as well as a comprehensive bibliography to better understand the science of soccer!

Match analysis is a performance-diagnostic procedure, which can be used to carry out systematic gaming analysis during competition and training. The analysis of team and racket sports, whether in competition, for opponent preparation (match plan), follow-up, or training is nowadays indispensable in many sports games at different levels. This analysis nevertheless presents many open questions and problem areas: Which data should be used? Who manages the data? Who provides whom with which information? How is this information presented, digested, and applied? The more complex and anonymous the data management is, the more commercial, expensive, and uncontrollable information management and provision becomes. Match Analysis: How to Use Data in Professional Sport is the first book to examine this topic through three types of data sets; video, event, and position data and show how to interpret this data and apply the findings for better team and individual sport performance. This innovative new volume is key reading for researchers, students, and practitioners alike in the fields of Coaching, Performance Analysis, Sport Management, and related specific sport disciplines.

This ground-breaking handbook takes an in-depth look at soccer match analysis, highlighting the latest in match analysis research and the innovative technologies now used by professional soccer clubs around the world.

Science and Soccer provides a comprehensive and accessible analysis of the physiology, biomechanics and psychology behind the world's most popular sport, and offers important guidance on how science translates into practice. Fully revised and updated to include new scientific research and data, it examines every key facet of the sport, including: players' anatomy, physiology, psychology and biomechanics coaching and training nutrition injury prevention and rehabilitation soccer surfaces and equipment match analysis growth and development in youth players talent identification. Science and Soccer represents a unique resource for students and academics in sports science and physical education. It should also be essential reading for all professional support staff working in the game, including coaches at all levels, physiotherapists, club doctors and sport psychologists.

Data Analytics in Football provides students, researchers and coaches with a firm grounding in the principles of modern performance analysis. It offers an insight into the use of positional data, exploring how it can be collected, modelled, analysed and interpreted. Introducing cutting-edge methods, the book challenges long-held assumptions and encourages a new way of thinking about football analysis. Based on data collected from the German Bundesliga and the UEFA Champions League, the book seeks to define the role of positional data in football match analysis by exploring topics such as: What is positional data analysis and how did it emerge from conventional match analysis? How can positional data be collected and which technologies can be used? What are the benefits of a data-driven approach to decision making in football? What Key Performance Indicators based on positional data should be used? How can traditional match analysis be complemented by using positional data and advanced KPIs? How can these new methods evolve in the future? Accessibly written, packed full of examples from elite football and supplemented with expert interviews (Ralf Rangnick, Urs Siegenthaler and others), Data Analytics in Football is a thought-provoking, rigorously evidence-based guide to the use of data analytics in football performance analysis. As such, it is a vital resource for any student, researcher or coach interested in performance analysis and skill acquisition, or anyone interested in football more generally.

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.