IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v170y2023ics0960077923002060.html
   My bibliography  Save this article

Using network science to analyze tennis stroke patterns

Author

Listed:
  • Zhou, Yunjing
  • Zong, Shouxin
  • Cao, Run
  • Gómez, Miguel-Ángel
  • Chen, Chuqi
  • Cui, Yixiong

Abstract

This research aimed to describe and quantify the stroke patterns profiling professional tennis players by constructing a complex network specifically related to ball bounce locations. A total sample of 16,863 points from 127 Australian Open matches played by 128 male tennis single players were gathered and scrutinized for creating the bipartite tennis stroke network (TSN) with court zones divided into 40 nodes. Afterwards, network metrics were used to assess the prominence of different court zones: in/out-degree centrality (I/ODC), eigenvector centrality (EC), betweenness centrality (BC) and shortest-path length. The results showed that zone-5 (zone-36) and zone-8 (zone-33) generally had higher levels of zone utilization considering their I/ODC, EC and BC. Zone-8 (zone-33) to zone-33 (zone-8) turned out to have the least short path length with a value of 0.0008 in all paths which had the most path utilization. Moreover, different rally lengths and tournament rounds can lead to a series of stroke patterns. As the tournament rounds progressed from the 1st round to the final, the consistency in ball bounces of the zones tended to decrease during short to medium or long rallies. Future investigations and sport performance analysts could adopt the TSN method to analyze tactics and specific striking styles of individual players.

Suggested Citation

  • Zhou, Yunjing & Zong, Shouxin & Cao, Run & Gómez, Miguel-Ángel & Chen, Chuqi & Cui, Yixiong, 2023. "Using network science to analyze tennis stroke patterns," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
  • Handle: RePEc:eee:chsofr:v:170:y:2023:i:c:s0960077923002060
    DOI: 10.1016/j.chaos.2023.113305
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077923002060
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2023.113305?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. E. Martin-Lorente & J. Campos & M. Crespo, 2017. "The inside out forehand as a tactical pattern in men’s professional tennis," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(4), pages 429-441, July.
    2. Newton Paul K & Aslam Kamran, 2009. "Monte Carlo Tennis: A Stochastic Markov Chain Model," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-44, July.
    3. Gómez, Miguel–Ángel & Rivas, Fernando & Leicht, Anthony S. & Buldú, Javier M., 2020. "Using network science to unveil badminton performance patterns," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    4. G. Peter O’Donoghue & Emily Brown, 2008. "The Importance of Service in Grand Slam Singles Tennis," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 8(3), pages 70-78, November.
    5. Yixiong Cui & Miguel-Ángel Gómez & Bruno Gonçalves & Jaime Sampaio, 2018. "Performance profiles of professional female tennis players in grand slams," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-18, July.
    6. Herrera-Diestra, J.L. & Echegoyen, I. & Martínez, J.H. & Garrido, D. & Busquets, J. & Io, F.Seirul. & Buldú, J.M., 2020. "Pitch networks reveal organizational and spatial patterns of Guardiola’s F.C. Barcelona," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Song, Honglin & Li, Yutao & Fu, Chenyi & Xue, Feng & Zhao, Qiyue & Zheng, Xingyu & Jiang, Kunkun & Liu, Tianbiao, 2024. "Using complex networks and multiple artificial intelligence algorithms for table tennis match action recognition and technical-tactical analysis," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Galeano, Javier & Gómez, Miguel-Ángel & Rivas, Fernando & Buldú, Javier M., 2022. "Using Markov chains to identify player’s performance in badminton," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    2. Borooah, Vani, 2022. "The Importance of the Serve in Winning Points in Tennis: A Bayesian Analysis Using Data for the Two winners of the 2019 French Open Singles," MPRA Paper 113069, University Library of Munich, Germany.
    3. Pasteur R. Drew & Janning Michael C., 2011. "Monte Carlo Simulation for High School Football Playoff Seed Projection," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(2), pages 1-10, May.
    4. Pettigrew Stephen, 2014. "How the West will be won: using Monte Carlo simulations to estimate the effects of NHL realignment," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(3), pages 345-355, September.
    5. Noubary Reza D. & Coles Drue, 2011. "Rule of Tangent for Win-By-Two Games," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-18, October.
    6. Iván Prieto-Lage & Adrián Paramés-González & Juan Carlos Argibay-González & Xoana Reguera-López-de-la-Osa & Santiago Ordóñez-Álvarez & Alfonso Gutiérrez-Santiago, 2022. "Match Analysis in Women’s Tennis on Clay, Grass and Hard Courts," IJERPH, MDPI, vol. 19(13), pages 1-13, June.
    7. Goldner Keith, 2012. "A Markov Model of Football: Using Stochastic Processes to Model a Football Drive," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-18, March.
    8. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
    9. Novillo, Álvaro & Gong, Bingnan & Martínez, Johann H. & Resta, Ricardo & del Campo, Roberto López & Buldú, Javier M., 2024. "A multilayer network framework for soccer analysis," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    10. Chacoma, Andrés & Billoni, Orlando V., 2023. "Probabilistic model for Padel games dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    11. Bizzozero, Paolo & Flepp, Raphael & Franck, Egon, 2016. "The importance of suspense and surprise in entertainment demand: Evidence from Wimbledon," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 47-63.
    12. Alejandro Sánchez-Pay & Rafael Martínez-Gallego & Miguel Crespo & David Sanz-Rivas, 2021. "Key Physical Factors in the Serve Velocity of Male Professional Wheelchair Tennis Players," IJERPH, MDPI, vol. 18(4), pages 1-10, February.
    13. Gong, Bingnan & Zhou, Changjing & Gómez, Miguel-Ángel & Buldú, J.M., 2023. "Identifiability of Chinese football teams: A complex networks approach," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    14. Beheshtian-Ardakani, Arash & Salehi, Mostafa & Sharma, Rajesh, 2023. "CMPN: Modeling and analysis of soccer teams using Complex Multiplex Passing Network," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    15. Gonzalez-Cabrera Ivan & Herrera Diego Dario & González Diego Luis, 2020. "Generalized model for scores in volleyball matches," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 16(1), pages 41-55, March.
    16. Heiny Erik L. & Heiny Robert Lowell, 2014. "Stochastic model of the 2012 PGA Tour season," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(4), pages 367-379, December.
    17. Alexandru Nicolae Ungureanu & Corrado Lupo & Paolo Riccardo Brustio, 2022. "Padel Match Analysis: Notational and Time-Motion Analysis during Official Italian Sub-Elite Competitions," IJERPH, MDPI, vol. 19(14), pages 1-11, July.
    18. Silvia Montagna & Vanessa Orani & Raffaele Argiento, 2021. "Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 573-604, June.
    19. Marc Garnica-Caparrós & Daniel Memmert & Fabian Wunderlich, 2022. "Artificial data in sports forecasting: a simulation framework for analysing predictive models in sports," Information Systems and e-Business Management, Springer, vol. 20(3), pages 551-580, September.
    20. Fabian Wunderlich & Daniel Memmert, 2018. "The Betting Odds Rating System: Using soccer forecasts to forecast soccer," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-18, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:170:y:2023:i:c:s0960077923002060. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.