Match Analysis

How to Use Data in Professional Sport

Häftad, Engelska, 2021

600 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2021-11-15
Mått:174 x 246 x 24 mm
Vikt:540 g
Format:Häftad
Språk:Engelska
Antal sidor:282
Förlag:Taylor & Francis Ltd
ISBN:9780367750930

Utforska kategorier

Sportböcker inom Sport, fritid och hobby
Databaser inom Data och IT

Mer om författaren

Daniel Memmert is Professor and Executive Head of the Institute of Exercise Training and Sport Informatics at the German Sport University Cologne, Germany, with a visiting assistant professorship 2014 at the University of Vienna (Austria). His awarded research is focused on human movement science, sport psychology, and computer science in sports. According to a publicly accessible database of the world's top 100,000 scientists (https://data.mendeley.com/datasets/btchxktzyw/2), he ranks first in Germany in the field of "Sport Science". He has received more than €7 million in external funding from research councils, has an H-index of 51 (i10-Index 149), has authored or co-authored more than 200 peer-reviewed publications, 20 books, and 30 book chapters, and has given more than 100 invited talks, 100 scientific talks on conferences, and more than 200 teaching courses for PE teachers and trainers.

Recensioner i media

"If you want to build a successful professional sports organization it is essential to pay attention to creating a winning culture. This includes the incorporation and integration of performance analytics and sports science data, which are invaluable tools for strategic competition preparation, game analysis, injury prevention and rehabilitation." Don Smolenski, President, Philadelphia Football Eagles, Superbowl LII Champions "As a professional squash player, I understand first-hand the importance of science and cognitive paradigms involved in world-class sports. If your goal is to be the best, you will have to check out the book on Match Analysis in order to appreciate systematic gaming analysis during competition and practice."Amanda Sobhy, Professional Squash Player (# 1 USA, # 5 World Ranking)"A unique overview of the very latest theoretical and methodological analysis possibilities of the identification of complex patterns and relationships associated with successful performance in 13 kinds of sport."Raul Pelaez Blanco, Sports Analysis, Innovation & Technology Manager, Football Club FC Barcelona"Especially as a former national coach, I know what extremely significant potential a professional match analysis has in performance soccer. The present book is the first to describe fundamental, novel and complex content in a simple and target-oriented way, not only in soccer." Jürgen Klinsmann

Innehållsförteckning

1. Match Analysis in 20202. History of Match Analysis3. Match Analysis in Practice: Football4. Match Analysis in Practice: Beach VolleyballPart 1: Match Analysis on the Basis of Video Data5. Match Analysis in American Football6. Match Analysis in Basketball7. Match Analysis in Cricket8. Match Analysis in Field Hockey 9. Opponent Analysis in Football 10. Visual Exploratory Scanning in Football11. Match Analysis in Ice Hockey12. Match Analysis in Rugby13. Match Analysis in Squash14. Match Analysis in Table Tennis15. Match Analysis in Team Handball16. Match Analysis in Tennis17. Match Analysis in Volleyball Part 2: Match Analysis on the Basis of Event Data18. KPIs19. Scouting20. Normalizing Kpi’s Based on PossessionPart 3: Match Analysis on the Basis of Position Data21. Model-Based Performance Analysis in Football22. Tactical KPIs in Football23. Physiological KPIs24. KPI: Collective Behavior in Football25. Applying Machine Learning in Football: The Identification of Counterpressing in Football26. KPI in the German Bundesliga 27. Communication of Match Analysis28. Limits of Match Analysis29. Match Analysis in 2030