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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MDPI AG
2025-02-01
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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. |
first_indexed | 2025-02-16T00:07:27Z |
format | Article |
id | doaj.art-167425ce8d6344f4a5e89ddfe75a6980 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2025-02-16T00:07:27Z |
publishDate | 2025-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
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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