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Ball Screens in the Men’s 2019 Basketball World Cup

Author

Listed:
  • Iván Prieto-Lage

    (Observational Research Group, Universidade de Vigo, 36005 Pontevedra, Spain)

  • Christopher Vázquez-Estévez

    (Observational Research Group, Universidade de Vigo, 36005 Pontevedra, Spain)

  • Adrián Paramés-González

    (Observational Research Group, Universidade de Vigo, 36005 Pontevedra, Spain)

  • Juan Carlos Argibay-González

    (Observational Research Group, Universidade de Vigo, 36005 Pontevedra, Spain)

  • Xoana Reguera-López-de-la-Osa

    (Education, Physical Activity and Health Research Group (Gies10-DE3), Galicia Sur Health Research, Institute (IIS Galicia Sur), SERGAS-UVIGO, 36208 Vigo, Spain)

  • Alfonso Gutiérrez-Santiago

    (Observational Research Group, Universidade de Vigo, 36005 Pontevedra, Spain)

Abstract

Background: The objective of this research was to analyse the effectiveness and search for successful patterns in ball screens in the men’s 2019 Basketball World Cup. Methods: The sample consisted of 515 ball screens obtained in critical moments. LINCE software was used as a registration instrument by means of an observational instrument designed ad hoc. A descriptive analysis and chi-square tests (χ2) were performed with SPSS 25.0 and a T-patterns analysis with Theme 5 software. Results: The results indicate that the criteria that have the most influence on this type of action are the result of the team executing the screen (winning, losing or tying), the type of offense and the defence used on the ball screen. The most representative patterns of success tend to take place between 9–16 s of possession, with the screeners being inside players and the screened players being outside players, and it is performed in the upper areas of the court against an individual type of defence and ending with the screened player advancing towards the basket or passing to an open teammate. Conclusions: The data obtained will enable the coaching staff to train ball screens in accordance with specific game situations.

Suggested Citation

  • Iván Prieto-Lage & Christopher Vázquez-Estévez & Adrián Paramés-González & Juan Carlos Argibay-González & Xoana Reguera-López-de-la-Osa & Alfonso Gutiérrez-Santiago, 2022. "Ball Screens in the Men’s 2019 Basketball World Cup," IJERPH, MDPI, vol. 20(1), pages 1-13, December.
  • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:59-:d:1009796
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    References listed on IDEAS

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    1. António P. Ferreira & Ana Volossovitch & Jaime Sampaio, 2014. "Towards the game critical moments in basketball: a grounded theory approach," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 14(2), pages 428-442, August.
    2. Tsamourtzis Evangelos & Karypidis Alexandros & Athanasiou Nikolaos, 2005. "Analysis of fast breaks in basketball," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 5(2), pages 17-22, November.
    3. Leonardo Lamas & Junior Barrera & Guilherme Otranto & Carlos Ugrinowitsch, 2014. "Invasion team sports: strategy and match modeling," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 14(1), pages 307-329, April.
    4. 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.
    5. Erhan Çene, 2018. "What is the difference between a winning and a losing team: insights from Euroleague basketball," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 18(1), pages 55-68, January.
    6. Jorge Lorenzo Calvo & Alejandro Menéndez García & Archit Navandar, 2017. "Analysis of mismatch after ball screens in Spanish professional basketball," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(4), pages 555-562, July.
    7. A. Vaquera & J.V. García-Tormo & M.A. Gómez Ruano & J.C Morante, 2016. "An exploration of ball screen effectiveness on elite basketball teams," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 16(2), pages 475-485, August.
    8. Kęstutis Matulaitis & Tomas Bietkis, 2021. "Prediction of Offensive Possession Ends in Elite Basketball Teams," IJERPH, MDPI, vol. 18(3), pages 1-11, January.
    9. 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.
    10. Hubert Remmert & Anh-Tuan Chau, 2019. "Players’ decisions within ball screens in elite German men’s basketball: observation of offensive–defensive interactions using a process-orientated state-event model," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 19(1), pages 1-13, January.
    11. L. Lamas & D. De Rose Junior & F. Santana & E. Rostaiser & L. Negretti & C. Ugrinowitsch, 2011. "Space creation dynamics in basketball offence: validation and evaluation of elite teams," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 11(1), pages 71-84, April.
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