Data Analytics in Professional Soccer

Performance Analysis Based on Spatiotemporal Tracking Data

  • Daniel┬áLink

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Daniel Link
    Pages 1-7
  3. Daniel Link
    Pages 9-28
  4. Daniel Link
    Pages 51-70
  5. Daniel Link
    Pages 105-106
  6. Back Matter
    Pages 107-123

About this book

Introduction

Daniel Link explores how data analytics can be used for studying performance in soccer. Based on spatiotemporal data from the German Bundesliga, the six individual studies in this book present innovative mathematical approaches for game analysis and player assessment. The findings can support coaches and analysts to improve performance of their athletes and inspire other researchers to advance the research field of sports analytics.

Contents
  • Individual Ball Possession in Soccer
  • Real Time Quantification of Dangerousity
  • A Topography of Free Kicks
  • Match Importance Affects Activity
  • Effect of Ambient Temperature on Pacing Depends on Skill Level
  • Vanishing Spray Reduces Extent of Rule Violations
Target Groups
  • Lecturers and students of sports science, data analytics, computer science
  • Experts in sports data, bookmakers, media companies, sports reporting, coaches and sports analysts
The Author
Dr. Daniel Link has been a lecturer and researcher at the Department of Sports and Health Sciences at the Technical University of Munich (TUM) since 2010. His research focuses on performance analysis in team sports, including technological aspects of data acquisition as well as the modeling of phenomena in sports. He supports top level teams and sport federations in implementing new approaches in match analysis.

Keywords

Computer Science in Sport Performance Indictor Tactical Performance Big Data Data Mining Football Soccer

Authors and affiliations

  • Daniel┬áLink
    • 1
  1. 1.Faculty of Sports and Health ScienceTechnical University of MunichMunichGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-658-21177-6
  • Copyright Information Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2018
  • Publisher Name Springer Vieweg, Wiesbaden
  • eBook Packages Computer Science
  • Print ISBN 978-3-658-21176-9
  • Online ISBN 978-3-658-21177-6
  • About this book
Industry Sectors
Pharma
Automotive
Electronics
Consumer Packaged Goods
Aerospace
Oil, Gas & Geosciences