Data Analytics in Professional Soccer Performance Analysis Based on
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 playe
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Data Analytics in Professional Soccer Performance Analysis Based on Spatiotemporal Tracking Data
Data Analytics in Professional Soccer
Daniel Link
Data Analytics in Professional Soccer Performance Analysis Based on Spatiotemporal Tracking Data With forewords by Martin Lames and Hendrik Weber
Daniel Link Munich, Germany This book is a part of a post-doctoral thesis (Habilitation) for receiving venia legendi at the Technical University Munich (TUM), Germany.
ISBN 978-3-658-21176-9 ISBN 978-3-658-21177-6 (eBook) https://doi.org/10.1007/978-3-658-21177-6 Library of Congress Control Number: 2018934626 Springer Vieweg © Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer Vieweg imprint is published by the registered company Springer Fachmedien Wiesbaden GmbH part of Springer Nature The registered company address is: Abraham-Lincoln-Str. 46, 65189 Wiesbaden, Germany
Foreword By Martin Lames Performance analysis in sports as a scientific discipline has been transformed by two recent trends. First, the advent of a new ‘culture’ of performance analysis in American professional sports, termed Sports Analytics, blurs the difference between scientific approaches and the perspectives of club management, media, and business. Being largely unnoticed up to now in Europe, and mostly restricted to the big five US sports, globalization no longer allows us to ignore these developments. Second, the potential of performance analysis methods shows no sign of slowing down its increasing impact on scientific as well as practical applications. Having just learned to adequately deal with position data extracted from video streams via pattern recognition, we must now deal with compatibility issues of this data with global and local position measurements. We will be confronted w
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