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Players’ technical and physical performance profiles and game-to-game variation in NBA

Author

Listed:
  • Shaoliang Zhang
  • Alberto Lorenzo
  • Miguel-Angel Gómez
  • Hongyou Liu
  • Bruno Gonçalves
  • Jaime Sampaio

Abstract

The aim of this study was to (i) identify technical and physical performances of basketballers according to playing position in strong and weak teams, and (ii) describe variability in game-to-game performance according to game outcome, location, quality of teams and opposition. Performance-related variables of all the 699 matches of regular season 2015–2016 in the National Basketball Association were analysed. All the comparisons were performed using magnitude-based inferences. As could be expected, results showed that technical and physical performances differed between players of strong and weak teams. In technical aspect, forwards and centres from strong teams made more three-point field goals, but fewer two-point field goals, than their counterparts from weak teams. Interestingly, forwards and guards from strong teams covered shorter distances and lower speeds than their peers from weak teams. In addition, the three-point field goals made and attempted presented high variability. Game location generally had no significant impact on the variability of players’ performance. Guards exhibited relatively lower variability in technical and physical variables in comparison with players from other positions. Exploring the difference and variability of technical and physical performances of basketballers allows fine-tuning of practice and game plans in order to build up optimal winning strategies.

Suggested Citation

  • Shaoliang Zhang & Alberto Lorenzo & Miguel-Angel Gómez & Hongyou Liu & Bruno Gonçalves & Jaime Sampaio, 2017. "Players’ technical and physical performance profiles and game-to-game variation in NBA," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(4), pages 466-483, July.
    • Handle: RePEc:taf:rpanxx:v:17:y:2017:i:4:p:466-483
    DOI: 10.1080/24748668.2017.1352432
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    Citations

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    Cited by:

    1. 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.
    2. David Mancha-Triguero & Javier García-Rubio & José M. Gamonales & Sergio J. Ibáñez, 2021. "Strength and Speed Profiles Based on Age and Sex Differences in Young Basketball Players," IJERPH, MDPI, vol. 18(2), pages 1-14, January.
    3. Efehan Ulas, 2021. "Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-16, June.
    4. Qing Yi & Miguel-Ángel Gómez-Ruano & Hongyou Liu & Shaoliang Zhang & Binghong Gao & Fabian Wunderlich & Daniel Memmert, 2020. "Evaluation of the Technical Performance of Football Players in the UEFA Champions League," IJERPH, MDPI, vol. 17(2), pages 1-12, January.
    5. Zongpeng Zhai & Yongbo Guo & Yuanchang Li & Shaoliang Zhang & Hongyou Liu, 2020. "The Regional Differences in Game-Play Styles Considering Playing Position in the FIBA Female Continental Basketball Competitions," IJERPH, MDPI, vol. 17(16), pages 1-11, August.
    6. Assanskiy, Artur & Shaposhnikov, Daniil & Tylkin, Igor & Vasiliev, Gleb, 2022. "Prove them wrong: Do professional athletes perform better when facing their former clubs?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).

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