Predictive analysis of starting status in women's basketball: playing position and key performance indicators
DOI:
https://doi.org/10.17398/1885-7019.21.681Keywords:
predictive model, performance indicators, specific positions, women´s performanceAbstract
This study analyses the factors influencing starting status in women’s basketball, considering specific positions and individual performance indicators. Data from a full season of the Liga Endesa were used to conduct descriptive analysis, a chi-squared test of independence, and logistic regression models. The results show that point guards and power forwards have the highest proportions of starting status (57.1% and 66.4%, respectively), while shooting guards have the lowest (46.2%). The chi-squared test confirmed a significant relationship between position and starting status. In the predictive model, assists, successful field goals, and fouls received significantly increased the probability of starting status, while fouls committed reduced it. These findings highlight the importance of strategic positions and individual performance in the selection of starting players, providing valuable insights to optimize strategies in women’s basketball. Point guards and power forwards emerge as key positions, while offensive performance and active participation in the game are critical determinants of starting status.
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