Where to go : Computational and visual what-if analyses in soccer

Stein, Manuel; Seebacher, Daniel; Marcelino, Rui; Schreck, Tobias; Grossniklaus, Michael; Keim, Daniel A.; Janetzko, Halldor

Where to go : Computational and visual what-if analyses in soccer

Dateien

Stein_2-53ajh2ufro9o1.pdfGröße: 592.67 KBDownloads: 401

Datum

2019

Autor:innen

Stein, Manuel

Seebacher, Daniel

Marcelino, Rui

Schreck, Tobias

Grossniklaus, Michael

Keim, Daniel A.

Janetzko, Halldor

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

Journal of Sports Sciences. 2019, 37(24), pp. 2774-2782. ISSN 0264-0414. eISSN 1466-447X. Available under: doi: 10.1080/02640414.2019.1652541

Zusammenfassung

To prepare their teams for upcoming matches, analysts in professional soccer watch and manually annotate up to three matches a day. When annotating matches, domain experts try to identify and improve suboptimal movements based on intuition and professional experience. The high amount of matches needing to be analysed manually result in a tedious and time-consuming process, and results may be subjective. We propose an automatic approach for the realisation of effective region-based what-if analyses in soccer. Our system covers the automatic detection of region-based faulty movement behaviour, as well as the automatic suggestion of possible improved alternative movements. As we show, our approach effectively supports analysts and coaches investigating matches by speeding up previously time-consuming work. We enable domain experts to include their domain knowledge in the analysis process by allowing to interactively adjust suggested improved movement, as well as its implications on region control. We demonstrate the usefulness of our proposed approach via an expert study with three invited domain experts, one being head coach from the first Austrian soccer league. As our results show that experts most often agree with the suggested player movement (83%), our proposed approach enhances the analytical capabilities in soccer and supports a more efficient analysis.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Visual analytics; sports analytics; soccer analytics; information visualisation

Zitieren

ISO 690

STEIN, Manuel, Daniel SEEBACHER, Rui MARCELINO, Tobias SCHRECK, Michael GROSSNIKLAUS, Daniel A. KEIM, Halldor JANETZKO, 2019. Where to go : Computational and visual what-if analyses in soccer. In: Journal of Sports Sciences. 2019, 37(24), pp. 2774-2782. ISSN 0264-0414. eISSN 1466-447X. Available under: doi: 10.1080/02640414.2019.1652541

BibTex

@article{Stein2019-12-17Where-46696,
  year={2019},
  doi={10.1080/02640414.2019.1652541},
  title={Where to go : Computational and visual what-if analyses in soccer},
  number={24},
  volume={37},
  issn={0264-0414},
  journal={Journal of Sports Sciences},
  pages={2774--2782},
  author={Stein, Manuel and Seebacher, Daniel and Marcelino, Rui and Schreck, Tobias and Grossniklaus, Michael and Keim, Daniel A. and Janetzko, Halldor}
}

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    <dcterms:abstract xml:lang="eng">To prepare their teams for upcoming matches, analysts in professional soccer watch and manually annotate up to three matches a day. When annotating matches, domain experts try to identify and improve suboptimal movements based on intuition and professional experience. The high amount of matches needing to be analysed manually result in a tedious and time-consuming process, and results may be subjective. We propose an automatic approach for the realisation of effective region-based what-if analyses in soccer. Our system covers the automatic detection of region-based faulty movement behaviour, as well as the automatic suggestion of possible improved alternative movements. As we show, our approach effectively supports analysts and coaches investigating matches by speeding up previously time-consuming work. We enable domain experts to include their domain knowledge in the analysis process by allowing to interactively adjust suggested improved movement, as well as its implications on region control. We demonstrate the usefulness of our proposed approach via an expert study with three invited domain experts, one being head coach from the first Austrian soccer league. As our results show that experts most often agree with the suggested player movement (83%), our proposed approach enhances the analytical capabilities in soccer and supports a more efficient analysis.</dcterms:abstract>
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Universitätsbibliographie

Ja

Begutachtet

Ja