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Differentiating attack-defense performance for starting and bench players during the Tokyo Olympics men’s basketball competition

Author

Listed:
  • Wenping Sun
  • ChenSoon Chee
  • LianYee Kok
  • FongPeng Lim
  • Shamsulariffin Samsudin

Abstract

This study aimed to explore the differences in attack-defense performance between the top and bottom teams for starting and bench players during the Tokyo Olympics men’s basketball competition, to determine the relationship between the attack-defense performance of starting and bench players and the final competition rankings, as well as with each performance indicator. The rank-sum ratio (RSR) comprehensive evaluation was employed to describe the attack-defense performance of starting and bench players. Additionally, an independent sample t-test, Spearman Rho Correlation, and Pearson Correlation were conducted to test the differences and relationships between the various variables at a 0.05 level of significance, respectively. The results indicated that the top four teams showed significant differences in the attack-defense performance of their starting players compared to the bottom four teams (p = 0.021), mainly in terms of 3-point shooting percentage (p = 0.042) and free throw shooting percentage (p = 0.044). Besides that, the attack-defense ranks of both starting players (p = 0.004, r = 0.757) and bench players (p = 0.020, r = 0.658) had a significant correlation with the final rankings. Points per game, 2-point field goal percentage, and assists had a statistically significant (p

Suggested Citation

  • Wenping Sun & ChenSoon Chee & LianYee Kok & FongPeng Lim & Shamsulariffin Samsudin, 2023. "Differentiating attack-defense performance for starting and bench players during the Tokyo Olympics men’s basketball competition," PLOS ONE, Public Library of Science, vol. 18(12), pages 1-14, December.
    • Handle: RePEc:plo:pone00:0296012
    DOI: 10.1371/journal.pone.0296012
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    References listed on IDEAS

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    1. Koh Koon Teck & John Wang & Mallett Clifford, 2011. "Discriminating Factors between Successful and Unsuccessful Teams: A Case Study in Elite Youth Olympic Basketball Games," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(3), pages 1-15, July.
    2. Gabor Csataljay & Peter O’Donoghue & Mike Hughes & Henriette Dancs, 2009. "Performance indicators that distinguish winning and losing teams in basketball," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 9(1), pages 60-66, April.
    3. Javier García & J. Sergio Ibáñez & A. Miguel Gómez & Jaime Sampaio, 2014. "Basketball Game-related statistics discriminating ACB league teams according to game location, game outcome and final score differences," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 14(2), pages 443-452, August.
    4. Dimitrije Cabarkapa & Michael A Deane & Andrew C Fry & Grant T Jones & Damjana V Cabarkapa & Nicolas M Philipp & Daniel Yu, 2022. "Game statistics that discriminate winning and losing at the NBA level of basketball competition," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-12, August.
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