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Examining the Differences Between Playoff Teams and Non-Playoff Teams in Men’s Euroleague; Play-Type Statistics Perspective

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  • Yasin Akinci

Abstract

The offensive tactics of basketball teams consist of a series of actions performed with the collaboration of two or more players on the court. The study aimed to determine the differences in the possessions and the points of the play-type statistics of the eight playoff teams and the other ten non-playoff teams of the 2020 to 2021 men’s Euroleague season. The study sample consists of a total of 13,056 play types obtained through systematic observation methodology, which examined 272 matches involving 17 teams. Descriptive statistics and the Mann–Whitney U test was employed to obtain the findings. It was found that the catch’n & shoot, pick and roll ball handler are the most frequently used possessions and points that produced play-type statistics for all teams. Results showed that isolation ( U  = 3,7740.5; z  = −3.93; p  

Suggested Citation

  • Yasin Akinci, 2023. "Examining the Differences Between Playoff Teams and Non-Playoff Teams in Men’s Euroleague; Play-Type Statistics Perspective," SAGE Open, , vol. 13(4), pages 21582440231, December.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231220155
    DOI: 10.1177/21582440231220155
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    References listed on IDEAS

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    1. José Losada & Rumen Manolov, 2015. "The process of basic training, applied training, maintaining the performance of an observer," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 339-347, January.
    2. 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.
    3. M. Hughes & S.-M. Cooper & A. Nevill, 2002. "Analysis procedures for non-parametric data from performance analysis," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 2(1), pages 6-20, August.
    4. 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.
    5. Gemma Robinson & Peter O’Donoghue, 2007. "A weighted kappa statistic for reliability testing in performance analysis of sport," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 7(1), pages 12-19, January.
    6. Kęstutis Matulaitis & Tomas Bietkis, 2021. "Prediction of Offensive Possession Ends in Elite Basketball Teams," IJERPH, MDPI, vol. 18(3), pages 1-11, January.
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