Abstract
The studies in this book have shown how analytical methods of mathematics and computer science can be used to address performance diagnostic issues in soccer. Looking to the future, it is expected that advances in artificial intelligence, big data, and data mining will both improve existing approaches and lead to completely new applications in sports analytics. The enormous amounts of data in the professional sector allow us to expand our knowledge of performance structure of soccer and put it on an empirically founded basis. This may lead to a new evolutionary stage in training and competition theory for soccer.
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© 2018 Springer Fachmedien Wiesbaden GmbH, part of Springer Nature
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Link, D. (2018). Prospects. In: Data Analytics in Professional Soccer. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-21177-6_8
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DOI: https://doi.org/10.1007/978-3-658-21177-6_8
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Publisher Name: Springer Vieweg, Wiesbaden
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Online ISBN: 978-3-658-21177-6
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