Das Symposium mit dem Titel „Big Data in Sports Games“, beschäftige sich mit der Datenanalyse in Sportspielen. Zwar liegen in vielen Bereichen des Sports durch die technologischen Innovationen im Bereich der Sensorik riesige Datenmengen („Big Data“) vor, allerdings besitzen diese für sich genommen nur wenig inhaltlichen Wert. Vielmehr liegt die Herausforderung darin, adäquate Verfahren zu entwickeln, um die Daten zu strukturieren, verknüpfen und anschließend zu analysieren.
Abstract:
The technological innovations of recent years – particular in the field of sensors – are leading to an increasing volume of data in sports. These enormous amounts of information (“big-data”) have relatively little value in themselves. What is required are appropriate methods for structuring, combining and analysing these data, in order to extract value for training or competition This present new challenges including such questions as, 1) how coaches and athletes can best exploit the possibilities to analyse game tactics and manage training processes, 2) how media companies can use this information to offer better and more innovative match coverage products and 3) how new scientific insights into the nature of sporting phenomena in general and the factors that influence performance can be gained. The key for this lies in using intelligent algorithms in order to derive complex performance indicators from the raw data that add real value when it comes to game analysis
There has been increased activity in this area in recent years driven by companies and the scientific community. Competition information provider are incorporating advanced methods of analysis into their software tools and an increasing number of publications in the academic sphere are reporting success in detecting tactical structures in raw data. This symposium presents the current state of research, reflects about achievements and limitations of existing technologies and looks at the innovations that are shaping the future.
Speakers:
Dr. Hendrik Weber, German Professional Soccer League (DFL), Frankfurt, Germany
Nicolas Witt, Fraunhofer Institute for Integrated Circuits (ISS), Erlangen, Germany
Oliver Bartels, Technical University Munich, Chair for Training Science and Sport Informatics, Germany
Hugo Folgado, University of Evora, Research Centre in Sports Sciences, Portugal