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Area of Science:

  • Sports Science
  • Basketball Analytics
  • Performance Optimization

Background:

  • Effective player line-ups are crucial for tactical success in basketball.
  • Understanding line-up performance variations across different teams is essential for international competition.
  • Player rotation strategies significantly influence offensive and defensive efficiency.

Purpose of the Study:

  • To assess the impact of different player combinations on team game performance.
  • To explore variations in line-up utilization among national women's basketball teams.
  • To examine the evolution of offensive efficiency for each line-up during a game.

Main Methods:

  • Analysis of 3,387 ball possessions from 23 international women's basketball games.
  • Calculation of offensive and defensive ratings for various line-ups.
  • Application of a Markov chain model to distinguish overperforming and underperforming line-ups.

Main Results:

  • The Chinese women's basketball team's most dominant offensive line-up is PG-G-SF-PF-C; G-G-F-PF-PF achieved the highest defensive rating.
  • US and Australian teams favor line-ups with three guards, while China relies heavily on center players.
  • Line-up performance and efficiency vary significantly, impacting overall team strategy.

Conclusions:

  • Insights into line-up performance in FIBA Female Basketball Competitions can optimize strategies.
  • Understanding player rotation impacts aids talent selection and recruitment at the international level.
  • Data-driven analysis of line-ups provides a competitive advantage for coaching decisions.