IDEAS home Printed from https://ideas.repec.org/a/taf/rpanxx/v17y2017i5p802-812.html
   My bibliography  Save this article

Opposition interaction in creating penetration during match play in elite soccer: evidence from UEFA champions league matches

Author

Listed:
  • A. Tenga
  • A. Mortensholm
  • P. O’Donoghue

Abstract

The aim of this study is to compare how penetrations were created between the Finalists and Non-finalists by assessing opposition interaction in elite soccer. Sample included data from 12 matches played from the round of 16 to the final of the UEFA Champions League season 2010/2011. Differences in creating dangerous penetrations were found only after controlling for the effects of opponent’s defensive balance. Three way repeated measures ANOVA revealed that the interaction of team status and opponent’s defensive balance had a meaningful effect on the percentage of penetrative ball actions into dangerous spaces (F2,20 = 2.9, p = 0.076, partial η2 = 0.227). Finalists performed a higher percentage of dangerous penetrative ball actions per match than Non-finalists when playing against an imbalanced defence (89.2 ± 14.0 vs. 77.6 ± 13.6), while Non-finalists performed a higher percentage when playing against balanced (25.8 ± 10.7 vs. 16.1 ± 12.5) and beginning imbalanced (32.8 ± 10.9 vs. 29.1 ± 9.2) defences. Results suggest that effective exploitation of spaces within and behind the last line of opponent’s defence is an important determinant of successful offensive performance in soccer. The assessment of opposition interaction is of critical importance when analysing elite soccer performance.

Suggested Citation

  • A. Tenga & A. Mortensholm & P. O’Donoghue, 2017. "Opposition interaction in creating penetration during match play in elite soccer: evidence from UEFA champions league matches," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(5), pages 802-812, September.
  • Handle: RePEc:taf:rpanxx:v:17:y:2017:i:5:p:802-812
    DOI: 10.1080/24748668.2017.1399326
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24748668.2017.1399326
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24748668.2017.1399326?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. P. D. Jones & N. James & S. D. Mellalieu, 2004. "Possession as a performance indicator in soccer," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 4(1), pages 98-102, August.
    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. Joaquín González-Rodenas & Rodrigo Aranda-Malaves & Andrés Tudela-Desantes & Félix Nieto & Ferran Usó & Rafael Aranda, 2020. "Playing tactics, contextual variables and offensive effectiveness in English Premier League soccer matches. A multilevel analysis," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-15, February.
    2. Julen Castellano & Miguel Pic, 2019. "Identification and Preference of Game Styles in LaLiga Associated with Match Outcomes," IJERPH, MDPI, vol. 16(24), pages 1-13, December.

    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. Nimai Parmar & Nic James & Mike Hughes & Huw Jones & Gary Hearne, 2017. "Team performance indicators that predict match outcome and points difference in professional rugby league," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(6), pages 1044-1056, November.
    2. Kylie Garratt & Aron Murphy & Rob Bower, 2017. "Passing and goal scoring characteristics in Australian A-League football," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(1-2), pages 77-85, March.
    3. Claudio A. Casal & José L. Losada & Daniel Barreira & Rubén Maneiro, 2021. "Multivariate Exploratory Comparative Analysis of LaLiga Teams: Principal Component Analysis," IJERPH, MDPI, vol. 18(6), pages 1-18, March.
    4. Iyán Iván-Baragaño & Rubén Maneiro & José L. Losada & Antonio Ardá, 2021. "Multivariate Analysis of the Offensive Phase in High-Performance Women’s Soccer: A Mixed Methods Study," Sustainability, MDPI, vol. 13(11), pages 1-16, June.
    5. Enrique García-Ordóñez & Carlos Touriño-González & María del Carmen Iglesias-Pérez, 2017. "Effects of situational variables on offensive performance indicators in elite water polo," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(1-2), pages 164-176, March.
    6. Manuel Espitia‐Escuer & Lucia Isabel Garcia‐Cebrian, 2020. "Efficiency of football teams from an organisation management perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 321-338, April.
    7. Gomez, Miguel-Angel & Reus, Marc & Parmar, Nimai & Travassos, Bruno, 2020. "Exploring elite soccer teams’ performances during different match-status periods of close matches’ comebacks," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    8. Fiona Carmichael & Dennis Thomas, 2014. "Team performance: production and efficiency in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 10, pages 143-165, Edward Elgar Publishing.
    9. Poojan Thakkar & Manan Shah, 2021. "An Assessment of Football Through the Lens of Data Science," Annals of Data Science, Springer, vol. 8(4), pages 823-836, December.
    10. Oberstone Joel, 2009. "Differentiating the Top English Premier League Football Clubs from the Rest of the Pack: Identifying the Keys to Success," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-29, July.
    11. Rubén Maneiro & José Luís Losada & Claudio A. Casal & Antonio Ardá, 2021. "Identification of Explanatory Variables in Possession of the Ball in High-Performance Women’s Football," IJERPH, MDPI, vol. 18(11), pages 1-14, May.
    12. Athalie J Redwood-Brown & Peter G O’Donoghue & Alan M Nevill & Chris Saward & Caroline Sunderland, 2019. "Effects of playing position, pitch location, opposition ability and team ability on the technical performance of elite soccer players in different score line states," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-21, February.

    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:802-812. 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.