Skip to main content
SpringerLink
Log in

A Data Science Approach to Explain a Complex Team Ball Game

  • Conference paper
  • First Online:
Data Management Technologies and Applications (DATA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1446))

  • 398 Accesses

Abstract

Only a few attempts have been made to come up with models to explain the mechanisms of team handball based on measured indicators. CoCoAnDa is a project located at the Baden-Wuerttemberg Cooperative State University that addresses this gap. This paper will describe the results of the analysis of available data collected as part of the match organization of matches of the first and second German team handball league, HBL. Furthermore, the data of more than 170 games of national teams, the first league, and the third league have been manually collected using the apps developed on behalf of the CoCoAnDa project. We will show the structure of the data and the techniques used to extract knowledge regarding the “mechanics” of the game.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Schwenkreis, F., Nothdurft, E.: Applied data science: an approach to explain a complex team ball game. In: Proceedings of the 9th International Conference on Data Science, Technology and Applications, DATA 2020, Lieusaint, Paris (2020)

    Google Scholar 

  2. Schwenkreis, F.: Coaching support by collecting and analyzing data (CoCoAnDa). In: Opportunities and Challenges for European Projects. Scitepress, pp. 220–225 (2019)

    Google Scholar 

  3. IHF- International Handball Federation, IX. Rules of the Game (2016). http://www.ihf.info/files/Uploads/NewsAttachments/0_New-Rules%20of%20the%20Game_GB.pdf

  4. HBL: Statistics of the first German team handball league (LiquiMoly HBL) (2019). https://www.liquimoly-hbl.de/en/

  5. Sportradar: Handball Scout Admin (HAS) Manual, Sportradar AG (2015)

    Google Scholar 

  6. Ionic: What is Ionic Framework (2019). https://ionicframework.com/docs/intro. Zugriff am 18 Nov 2019

  7. Schwenkreis, F.: A three component approach to support team handball coaches. In: 23rd Annual Congress of the European College of Sport Science, Dublin (2018)

    Google Scholar 

  8. Schwenkreis, F.: An approach to use deep learning to automatically recognize team tactics in team ball games. In: Proceedings of the 7th Conference on Data Science, Technology and Applications, Porto (2018)

    Google Scholar 

  9. Schwenkreis, F.: A graded concept of an information model for evaluating performance in team handball. In: Proceedings of the 8th Conference on Data Science, Technology and Applications, Prag (2019)

    Google Scholar 

  10. Kinexon: Real-time Performance Analytics, Kinexon (2017)

    Google Scholar 

  11. Provost, F., Fawcett, T.: Data Science for Business. O'Reilly and Associates, Sebastopol, CA (2013)

    Google Scholar 

  12. Steinwart, I., Christmann, A.: Support Vector Machines. Springer, New York (2008). https://doi.org/10.1007/978-0-387-77242-4

  13. Schwenkreis, F.: Why the concept of shopping baskets helps to analyze team-handball. In: Proceedings of the 2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA), Valencia (2020)

    Google Scholar 

  14. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of the 20th VLDB Conference, Santiago, Chile (1994)

    Google Scholar 

Download references

Acknowledgements

We would like to thank the DHB for the general support of the project and the DHL for sharing their data. Furthermore, we would like to thank the collaborating teams for their support of the project: the German National teams, MadDogs TSV Neuhausen, Wild Boys TVB Stuttgart, Frisch Auf! Göppingen, SG BBM Bietigheim-Bissingen, and HBW Balingen-Weilstetten. Furthermore, we would like to express our appreciation of the time and expertise contributed by the helping hands who scouted matches (in alphabetical order): Jelena Braun, Stefanie Freytag, Heiko Ruess, Matthias Trautvetter, and Susan Zsoter.

Author information

Authors and Affiliations

  1. DHBW Stuttgart, Paulinenstr. 50, 70565, Stuttgart, Germany

    Friedemann Schwenkreis

Authors
  1. Friedemann Schwenkreis
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Friedemann Schwenkreis .

Editor information

Editors and Affiliations

  1. MODESTE/ESEO, Angers, France

    Slimane Hammoudi

  2. Fraunhofer FIT and RWTH Aachen University, Aachen, Germany

    Christoph Quix

  3. University of Coimbra, Coimbra, Portugal

    Jorge Bernardino

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Schwenkreis, F. (2021). A Data Science Approach to Explain a Complex Team Ball Game. In: Hammoudi, S., Quix, C., Bernardino, J. (eds) Data Management Technologies and Applications. DATA 2020. Communications in Computer and Information Science, vol 1446. Springer, Cham. https://doi.org/10.1007/978-3-030-83014-4_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-83014-4_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-83013-7

  • Online ISBN: 978-3-030-83014-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation