1st Edition

Match Analysis How to Use Data in Professional Sport

Edited By Daniel Memmert Copyright 2022
    296 Pages 29 B/W Illustrations
    by Routledge

    296 Pages 29 B/W Illustrations
    by Routledge

    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.

    1. Match Analysis in 2020

    Daniel Memmert

    2. History of Match Analysis

    Jürgen Buschmann

    3. Match Analysis in Practice: Football

    Stephan Nopp

    4. Match Analysis in Practice: Beach Volleyball

    Daniel Link

    Part 1: Match Analysis on the Basis of Video Data

    5. Match Analysis in American Football

    Peter Anderson

    6. Match Analysis in Basketball

    Stefan König and Jan Heckel

    7. Match Analysis in Cricket

    Saumya Mehta and John. van der Kamp

    8.  Match Analysis in Field Hockey

    Anne Krause and Wolfgang Hillmann

    9.  Opponent Analysis in Football

    Lukas Plener

    10. Visual Exploratory Scanning in Football

    Marius Pokolm

    11. Match Analysis in Ice Hockey

    Karl Schwarzenbrunner

    12. Match Analysis in Rugby

    Sharief. Hendricks

    13. Match Analysis in Squash

    Dr. Zillmer and Nyree Dardarian

    14. Match Analysis in Table Tennis

    Timo Klein-Soetebier and Gunter Straub

    15. Match Analysis in Team Handball

    Frowin. Fasold

    16. Match Analysis in Tennis

    Philipp Born and Tobias Vogt

    17. Match Analysis in Volleyball

    Stefanie Klatt

    Part 2: Match Analysis on the Basis of Event Data

    18. KPIs

    Marc Garnica-Caparrós

    19. Scouting

    Markus Brunnschneider and Maximilian Hahn

    20. Normalizing Kpi’s Based on Possession

    Ashwin Phatak

    Part 3: Match Analysis on the Basis of Position Data

    21. Model-Based Performance Analysis in Football

    Jürgen Perl

    22. Tactical KPIs in Football

    Benedict Low

    23. Physiological KPIs

    Maximilian Klemp

    24. KPI: Collective Behavior in Football

    Rui Marcelino, Jaime Sampaio, Guy Amichay, Bruno Gonçalves, Iain D. Couzin and Mate Nagy

    25. Applying Machine Learning in Football: The Identification of Counterpressing in Football

    Gabriel Anzer, Pascal Bauer und Oliver Höner

    26. KPI in the German Bundesliga

    Dominik Raabe

    27. Communication of Match Analysis

    Philp Furley

    28. Limits of Match Analysis

    Fabian Wunderlich

    29. Match Analysis in 2030

    Robert. Rein


    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.

    "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