Ball Screens in the Men’s 2019 Basketball World Cup

Iván Prieto-Lage, Christopher Vázquez-Estévez (), Adrián Paramés-González, Juan Carlos Argibay-González, Xoana Reguera-López- de-la-Osa () and Alfonso Gutiérrez-Santiago
Additional contact information
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

IJERPH, 2022, vol. 20, issue 1, 1-13

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.

Keywords: performance; coaching; critical moments; t-patterns; observational study (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/20/1/59/pdf (application/pdf)
https://www.mdpi.com/1660-4601/20/1/59/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:20:y:2022:i:1:p:59-:d:1009796

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().