0000000000398426

AUTHOR

John Francis

Making Every "Point" Count: Identifying the Key Determinants of Team Success in Elite Men’s Wheelchair Basketball

Wheelchair basketball coaches and researchers have typically relied on box score data and the Comprehensive Basketball Grading System to inform practice, however, these data do not acknowledge how the dynamic perspectives of teams change, vary and adapt during possessions in relation to the outcome of a game. Therefore, this study aimed to identify the key dynamic variables associated with team success in elite men’s wheelchair basketball and explore the impact of each key dynamic variable upon the outcome of performance through the use of binary logistic regression modelling. The valid and reliable template developed by Francis, Owen and Peters (2019) was used to analyse video footage in S…

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Key Determinants of Team Success in Elite Men’s Wheelchair Basketball

Performance Analysis has become an integral part of the coaching process within elite wheelchair basketball, assisting staff with the delivery of augmented feedback (Fliess-Douer et al. 2016). Whilst previous attempts to explore the key determinants of success within wheelchair basketball have identified that stronger teams accumulate a greater number of assists, turnovers, free-throw and field goal shooting attempts (Gómez et al. 2015; Molik et al. 2009), the use of secondary box score data in such studies has been questioned for both its validity and reliability (Ziv et al. 2010). The purpose of this study, therefore, was to explore the key determinants of team success within elite men’s …

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A New Reliable Performance Analysis Template for Quantifying Action Variables in Elite Men’s Wheelchair Basketball

This study aimed to develop a valid and reliable performance analysis template for quantifying team action variables in elite men’s wheelchair basketball. First action variables and operational definitions were identified by the authors and verified by an expert panel of wheelchair basketball coaching staff in order to establish expert validity. A total of 109 action variable were then placed into 17 agreed Categorical Predictor Variable categories. The action variables were then used to develop a computerized performance analysis template for post-event analysis. Each possession (n = 200) from an international men’s wheelchair basketball game was analyzed by the first author on two occasio…

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