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Basketball Game-related statistics discriminating ACB league teams according to game location, game outcome and final score differences

Author

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  • Javier García
  • J. Sergio Ibáñez
  • A. Miguel Gómez
  • Jaime Sampaio

Abstract

The aim of the study was to identify the basketball performance indicators that best discriminated winning and losing teams according to game location and final score differences. The sample used was composed by 306 games of the ACB basketball league from the 2007-2008 regular season. A cluster of k-means was used to split the sample into 3 groups: balanced (differences between 1 and 12 points); unbalanced (differences between 13 and 28 points) and blowout games (differences above 28 points). The results obtained from the discriminant analysis showed that home teams were discriminated from away teams by assists (SC=.41), successful 2-point field goals (SC=.40) and defensive rebounds (SC=.36) during balanced games when home teams won. Conversely, when visiting teams win, assists (SC=.33) and steals (SC=.42) discriminated home and away teams. In unbalanced games, when home teams win, home and away teams were discriminated by assists (SC=.30). On the other hand when away teams win, home teams were discriminated from away teams by assists (SC=.31) and 3-point field-goals (SC=-.33). These findings may help coaches to prepare and design specific programs focused on game dynamics.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:rpanxx:v:14:y:2014:i:2:p:443-452
    DOI: 10.1080/24748668.2014.11868733
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    Cited by:

    1. David Rösch & Florian Schultz & Oliver Höner, 2021. "Decision-Making Skills in Youth Basketball Players: Diagnostic and External Validation of a Video-Based Assessment," IJERPH, MDPI, vol. 18(5), pages 1-17, February.
    2. Antonio Fernández-Leo & Carlos D. Gómez-Carmona & Javier García-Rubio & Sergio J. Ibáñez, 2020. "Influence of Contextual Variables on Physical and Technical Performance in Male Amateur Basketball: A Case Study," IJERPH, MDPI, vol. 17(4), pages 1-16, February.
    3. Shaoliang Zhang & Miguel Ángel Gomez & Qing Yi & Rui Dong & Anthony Leicht & Alberto Lorenzo, 2020. "Modelling the Relationship between Match Outcome and Match Performances during the 2019 FIBA Basketball World Cup: A Quantile Regression Analysis," IJERPH, MDPI, vol. 17(16), pages 1-11, August.

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