| Description |
1 online resource (xiii, 123 pages) : illustrations (some color) |
| Contents |
Intro; Foreword; Foreword; Table of Contents; List of Figures; Abstract; 1 Introduction; 1.1 Sports Analytics; 1.2 The Use of Data Analytics in Soccer; 1.3 About the Studies in this Book; 2 Individual Ball Possession; 2.1 Introduction; 2.2 Ball Possession Types; 2.3 Detection of Ball Possession; 2.3.1 Data Preparation; 2.3.2 Detection of IBP & IBA Starting Point; 2.3.3 Detection of IBA Endpoint; 2.3.4 Classification of IBC; 2.3.5 Creation of Time Intervals; 2.3.6 Limitations; 2.4 Training & Evaluation; 2.4.1 Training of Threshold Values & Bayesian Network; 2.4.2 Quality of IBA & IBP Detection |
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2.4.3 Quality of IBC Classification2.5 Game Analysis; 2.5.1 Team Based Metrics; 2.5.2 Player Based Metrics; 2.6 Conclusion; 3 Real Time Quantification of Dangerousity; 3.1 Introduction; 3.2 Quantifying Dangerousity; 3.2.1 Dangerousity; 3.2.2 Derived Metrics; 3.2.3 Calibration; 3.2.4 Limitations; 3.3 Evaluation; 3.3.1 Reliability of measurement; 3.3.2 Performance relevance; 3.4 Game Analysis; 3.4.1 Individual Action Analysis; 3.4.2 Single match analysis; 3.4.3 Team efficiency ratings; 3.5 Conclusion; 4 A Topography of Free Kicks; 4.1 Introduction; 4.2 Methods; 4.2.1 Sample |
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4.2.2 Performance Variables4.2.3 Calculation of performance topographies; 4.2.4 Statistical Analysis; 4.3 Results; 4.4 Discussion; 4.5 Conclusion; 5 Match Importance Affects Player Activity; 5.1 Introduction; 5.2 Methods; 5.2.1 Subjects; 5.2.2 Activity Parameters; 5.2.3 Match Importance; 5.2.4 Statistical Analysis; 5.3 Results; 5.4 Discussion; 5.5 Conclusion; 6 Effect of Ambient Temperature on Pacing Depends on Skill Level; 6.1 Introduction; 6.2 Methods; 6.2.1 Approach; 6.2.2 Subjects; 6.2.3 Procedures; 6.2.4 Statistical Analyses; 6.3 Results; 6.4 Discussion; 6.5 Conclusion |
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7 Vanishing Spray Reduces Extent of Rule Violations7.1 Introduction; 7.2 Methods; 7.2.1 Data recording; 7.2.2 Reliability; 7.2.3 Statistical analysis; 7.3 Results; 7.4 Discussion; 7.5 Conclusion; 8 Prospects; References |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed February 19, 2018) |
| Subject |
Soccer -- Germany -- Data processing
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GAMES -- Gambling -- Sports.
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SPORTS & RECREATION -- Business Aspects.
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SPORTS & RECREATION -- Essays.
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SPORTS & RECREATION -- History.
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SPORTS & RECREATION -- Reference.
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TRAVEL -- Special Interest -- Sports.
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Germany
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| Form |
Electronic book
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| ISBN |
9783658211776 |
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3658211776 |
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