IDEAS home Printed from https://ideas.repec.org/a/taf/rpanxx/v17y2017i5p783-801.html
   My bibliography  Save this article

Effects of experience and relative quality in tennis match performance during four Grand Slams

Author

Listed:
  • Yixiong Cui
  • Miguel-Ángel Gómez
  • Bruno Gonçalves
  • Hongyou Liu
  • Jaime Sampaio

Abstract

The aim of this study was to explore the differences in technical, tactical and movement performance of professional male tennis players in Grand Slams, according to player's experience and relative quality. Match data of 1188 players competing in 2015–2017 Grand Slam tournaments were collected. Experience and relative quality (RQ) were used to classify players via cluster analysis, based on Cubic Clustering Criterion. Afterwards, a descriptive discriminant analysis was performed to identify the most important variables that best predict player clusters in each Grand Slam, and two discriminant functions were generated (p < 0.01). High-experienced Higher RQ Players (n = 337) outperformed other players in serve and return (fewer double faults, more second serve and return points won), rally winners and breaking opportunities while covering longer distance. Experienced Higher RQ Players (n = 267) hit faster serves and more aces, played more aggressively when returning (more return winners and unforced errors) and traversed less distance. Players approached the net with similar times in all Slams, showing that the current trend in male tennis is being tactically aggressive on all court surfaces. The effects of experience and RQ provide insights on individualized training and performance optimization in practice and competition.

Suggested Citation

  • Yixiong Cui & Miguel-Ángel Gómez & Bruno Gonçalves & Hongyou Liu & Jaime Sampaio, 2017. "Effects of experience and relative quality in tennis match performance during four Grand Slams," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(5), pages 783-801, September.
    • Handle: RePEc:taf:rpanxx:v:17:y:2017:i:5:p:783-801
    DOI: 10.1080/24748668.2017.1399325
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24748668.2017.1399325
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/24748668.2017.1399325?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. Jaime Sampaio & Tim McGarry & Julio Calleja-González & Sergio Jiménez Sáiz & Xavi Schelling i del Alcázar & Mindaugas Balciunas, 2015. "Exploring Game Performance in the National Basketball Association Using Player Tracking Data," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-14, July.
    2. Hazuan Hizan & Peter Whipp & Machar Reid & Jon Wheat, 2014. "A comparative analysis of the spatial distributions of the serve return," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 14(3), pages 884-893, December.
    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. Zappalà, Chiara & Biondo, Alessio Emanuele & Pluchino, Alessandro & Rapisarda, Andrea, 2023. "The paradox of talent: How chance affects success in tennis tournaments," Chaos, Solitons & Fractals, Elsevier, vol. 176(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. Juan M. García-Ceberino & Antonio Antúnez & Sebastián Feu & Sergio J. Ibáñez, 2020. "Quantification of Internal and External Load in School Football According to Gender and Teaching Methodology," IJERPH, MDPI, vol. 17(1), pages 1-18, January.
    2. Jorge Serna & Verónica Muñoz-Arroyave & Jaume March-Llanes & M. Teresa Anguera & Queralt Prat & Aaron Rillo-Albert & David Falcón & Pere Lavega-Burgués, 2021. "Effect of Ball Screen and One-on-One on the Level of Opposition and Effectiveness of Shots in the ACB," IJERPH, MDPI, vol. 18(5), pages 1-16, March.
    3. Bruno Gonçalves & Diogo Coutinho & Juliana Exel & Bruno Travassos & Carlos Lago & Jaime Sampaio, 2019. "Extracting spatial-temporal features that describe a team match demands when considering the effects of the quality of opposition in elite football," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-20, August.
    4. Feng Li & Damir Knjaz & Tomislav Rupčić, 2021. "Influence of Fatigue on Some Kinematic Parameters of Basketball Passing," IJERPH, MDPI, vol. 18(2), pages 1-10, January.
    5. Kęstutis Matulaitis & Tomas Bietkis, 2021. "Prediction of Offensive Possession Ends in Elite Basketball Teams," IJERPH, MDPI, vol. 18(3), pages 1-11, January.
    6. Sergio J Ibáñez & Aitor Mazo & Juarez Nascimento & Javier García-Rubio, 2018. "The Relative Age Effect in under-18 basketball: Effects on performance according to playing position," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-11, July.
    7. Eduard Pons & Tomás García-Calvo & Ricardo Resta & Hugo Blanco & Roberto López del Campo & Jesús Díaz García & Juan José Pulido, 2019. "A comparison of a GPS device and a multi-camera video technology during official soccer matches: Agreement between systems," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-12, August.
    8. Shun-Chuan Chang, 2018. "Capability and opportunity in hot shooting performance: Evidence from top-scoring NBA leaders," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-14, February.
    9. Shaoliang Zhang & Miguel Ángel Gomez & Qing Yi & Rui Dong & Anthony Leicht & Alberto Lorenzo, 2020. "Modelling the Relationship between Match Outcome and Match Performances during the 2019 FIBA Basketball World Cup: A Quantile Regression Analysis," IJERPH, MDPI, vol. 17(16), pages 1-11, August.
    10. Rafael Martínez-Gallego & Jesús Ramón-Llin & Miguel Crespo, 2021. "A Cluster Analysis Approach to Profile Men and Women’s Volley Positions in Professional Tennis Matches (Doubles)," Sustainability, MDPI, vol. 13(11), pages 1-9, June.
    11. Angel Ric & Carlota Torrents & Bruno Gonçalves & Lorena Torres-Ronda & Jaime Sampaio & Robert Hristovski, 2017. "Dynamics of tactical behaviour in association football when manipulating players' space of interaction," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-16, July.

    More about this item

    Statistics

    Access and download statistics

    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:taf:rpanxx:v:17:y:2017:i:5:p:783-801. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RPAN20 .

    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.