Analysis of Offensive Patterns After Timeouts in Critical Moments in the EuroLeague 2022/23

Timeouts are a widely supported strategy in the literature, recognized for directly influencing team performance during basketball games. This study aimed to analyze and define the successful patterns of actions after timeouts (ATOs) during critical moments in the 2022/23 EuroLeague season. The samp...

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Main Authors: Christopher Vázquez-Estévez, Iván Prieto-Lage, Xoana Reguera-López-de-la-Osa, Antonio José Silva-Pinto, Juan Carlos Argibay-González, Alfonso Gutiérrez-Santiago
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/3/1580
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author Christopher Vázquez-Estévez
Iván Prieto-Lage
Xoana Reguera-López-de-la-Osa
Antonio José Silva-Pinto
Juan Carlos Argibay-González
Alfonso Gutiérrez-Santiago
author_facet Christopher Vázquez-Estévez
Iván Prieto-Lage
Xoana Reguera-López-de-la-Osa
Antonio José Silva-Pinto
Juan Carlos Argibay-González
Alfonso Gutiérrez-Santiago
author_sort Christopher Vázquez-Estévez
collection DOAJ
description Timeouts are a widely supported strategy in the literature, recognized for directly influencing team performance during basketball games. This study aimed to analyze and define the successful patterns of actions after timeouts (ATOs) during critical moments in the 2022/23 EuroLeague season. The sample was drawn from the last two minutes and overtime of 169 games with a final point difference of 10 points or fewer, totaling 365 ATOs. An observational methodology was used, applying the LINCE PLUS software version 2.1.0 and an ad hoc observational instrument. Descriptive analysis and chi-square tests (χ<sup>2</sup>) were conducted using SPSS 25.0, and T-pattern analysis was performed with Theme 6 software. Statistical significance was set at <i>p</i> < 0.05. Teams in the lead often concluded successful plays through free throws following opponent fouls, while teams trailing behind attempted to close the gap by committing fouls to force free throws in defense and scoring two-point baskets on offense. The findings offer insights into ATOs strategies that can support coaches and technical staff in training and adapting these actions to meet competition demands during critical game moments. These results may assist in enhancing team performance and decision-making under high-stakes conditions.
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spelling doaj.art-167425ce8d6344f4a5e89ddfe75a69802025-02-12T14:24:29ZengMDPI AGApplied Sciences2076-34172025-02-01153158010.3390/app15031580Analysis of Offensive Patterns After Timeouts in Critical Moments in the EuroLeague 2022/23Christopher Vázquez-Estévez0Iván Prieto-Lage1Xoana Reguera-López-de-la-Osa2Antonio José Silva-Pinto3Juan Carlos Argibay-González4Alfonso Gutiérrez-Santiago5Observational Research Group, Faculty of Education and Sport, University of Vigo, 36005 Pontevedra, SpainObservational Research Group, Faculty of Education and Sport, University of Vigo, 36005 Pontevedra, SpainEducation, Physical Activity and Health Research Group (Gies10-DE3), Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36208 Vigo, SpainObservational Research Group, Faculty of Education and Sport, University of Vigo, 36005 Pontevedra, SpainObservational Research Group, Faculty of Education and Sport, University of Vigo, 36005 Pontevedra, SpainObservational Research Group, Faculty of Education and Sport, University of Vigo, 36005 Pontevedra, SpainTimeouts are a widely supported strategy in the literature, recognized for directly influencing team performance during basketball games. This study aimed to analyze and define the successful patterns of actions after timeouts (ATOs) during critical moments in the 2022/23 EuroLeague season. The sample was drawn from the last two minutes and overtime of 169 games with a final point difference of 10 points or fewer, totaling 365 ATOs. An observational methodology was used, applying the LINCE PLUS software version 2.1.0 and an ad hoc observational instrument. Descriptive analysis and chi-square tests (χ<sup>2</sup>) were conducted using SPSS 25.0, and T-pattern analysis was performed with Theme 6 software. Statistical significance was set at <i>p</i> < 0.05. Teams in the lead often concluded successful plays through free throws following opponent fouls, while teams trailing behind attempted to close the gap by committing fouls to force free throws in defense and scoring two-point baskets on offense. The findings offer insights into ATOs strategies that can support coaches and technical staff in training and adapting these actions to meet competition demands during critical game moments. These results may assist in enhancing team performance and decision-making under high-stakes conditions.https://www.mdpi.com/2076-3417/15/3/1580close gameslast possessionsbasketballteam performancegame analysis
spellingShingle Christopher Vázquez-Estévez
Iván Prieto-Lage
Xoana Reguera-López-de-la-Osa
Antonio José Silva-Pinto
Juan Carlos Argibay-González
Alfonso Gutiérrez-Santiago
Analysis of Offensive Patterns After Timeouts in Critical Moments in the EuroLeague 2022/23
Applied Sciences
close games
last possessions
basketball
team performance
game analysis
title Analysis of Offensive Patterns After Timeouts in Critical Moments in the EuroLeague 2022/23
title_full Analysis of Offensive Patterns After Timeouts in Critical Moments in the EuroLeague 2022/23
title_fullStr Analysis of Offensive Patterns After Timeouts in Critical Moments in the EuroLeague 2022/23
title_full_unstemmed Analysis of Offensive Patterns After Timeouts in Critical Moments in the EuroLeague 2022/23
title_short Analysis of Offensive Patterns After Timeouts in Critical Moments in the EuroLeague 2022/23
title_sort analysis of offensive patterns after timeouts in critical moments in the euroleague 2022 23
topic close games
last possessions
basketball
team performance
game analysis
url https://www.mdpi.com/2076-3417/15/3/1580
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