Abstract
The open nature of basketball gives it a large uncertainty that makes hard the tactical analysis of the situations that happen in the game. Specifically, screens are one of the offensive tactical elements most used in basketball and one example of a tactical situation that needs the highest preparation level to get a good performance in the competition. The aim of this study is to differentiate these player behaviors by gender using data mining and polar coordinates analysis. Therefore, one ad hoc observational tool made by 17 criteria and 97 exhaustive and mutually exclusive (E/ME) categories has been designed and validated using the data quality analysis (correlation coefficients and concordance index 0.98) and generalizability analysis (G coefficients 0.94) to perform such a study. The observational design is nomothetic, punctual, and multidimensional. A total of 176 ball screens situations have been analyzed for the men's category and 118 for women's category, corresponding to three different teams of each gender playing in the highest competition level in Spain during the 2018/2019 season using Hoisan software tool. The analysis of the relationships among behaviors has been performed using Polar Coordinates analysis as well as data mining analysis: clustering and decision tree classifier. Results show significant relationships that allow us to tactically interpret the pick and roll situations in men's and women's professional basketball players in Spain, allowing us to develop more intervention programs which will optimize training and improve players performance.
Highlights
Cooperative-opposition collective sports, such as basketball, are characterized by a high motor interaction and a high degree of uncertainty in those interactions (Castellano and Hernández Mendo, 2000; Castellano et al, 2009; Conejero et al, 2016) because during a game there are interactions with both teammates and opponents
Considering the possibilities offered by data mining and polar coordinates analysis, the objective of this work is to extract patterns from the data to explain and predict the behaviors occurring in the execution of the tactical means of ball screen in professional basketball in Spain, differentiating it according to gender
The polar coordinates analysis shows the results for each gender in two-ball screens, on the one hand, the focal behavior “output on the opposite side of the ball screen” (SCBQ) and on the other hand, the “output on the side of the ball screen” (SLBQ)
Summary
Cooperative-opposition collective sports, such as basketball, are characterized by a high motor interaction and a high degree of uncertainty in those interactions (Castellano and Hernández Mendo, 2000; Castellano et al, 2009; Conejero et al, 2016) because during a game there are interactions with both teammates and opponents. It is a sport that has been studied from many fields of knowledge such as biomechanics (Morales Toapanta et al, 2018), psychology (Rodríguez López and Sáez Rodríguez, 2009), or physiology (Calleja et al, 2008), Data Mining Polar Coordinates Basketball it is important that it be analyzed from a perspective where motor interaction is taken into account (Hernández-Mendo et al, 2000) because the protagonists are the players and their technical–tactical reading. Together with the study of the game situations carried out by the technical staff, has made harder to obtain offensive advantages to score points and perform at the highest level. High level of intensity requires an optimal physical preparation and an extensive technical–tactical background for the players that allows them to adapt to the continuously changing environments they face (Morillo-Baro et al, 2020)
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