Match Analysis

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.

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 EUR7 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.

1. Match Analysis in 2020 2. History of Match Analysis 3. Match Analysis in Practice: Football 4. Match Analysis in Practice: Beach Volleyball Part 1: Match Analysis on the Basis of Video Data 5. Match Analysis in American Football 6. Match Analysis in Basketball 7. Match Analysis in Cricket 8. Match Analysis in Field Hockey 9. Opponent Analysis in Football 10. Visual Exploratory Scanning in Football 11. Match Analysis in Ice Hockey 12. Match Analysis in Rugby 13. Match Analysis in Squash 14. Match Analysis in Table Tennis 15. Match Analysis in Team Handball 16. Match Analysis in Tennis 17. Match Analysis in Volleyball Part 2: Match Analysis on the Basis of Event Data 18. KPIs 19. Scouting 20. Normalizing Kpi's Based on Possession Part 3: Match Analysis on the Basis of Position Data 21. Model-Based Performance Analysis in Football 22. Tactical KPIs in Football 23. Physiological KPIs 24. KPI: Collective Behavior in Football 25. Applying Machine Learning in Football: The Identification of Counterpressing in Football 26. KPI in the German Bundesliga 27. Communication of Match Analysis 28. Limits of Match Analysis 29. Match Analysis in 2030