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Bounded Rationality and Heuristics: Do We Only Need to Score in Order to Win Individual Awards in Basketball?

Author

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  • Zsombor Zilinyi

    (School of Doctoral Studies, Hungarian University of Sports Science, 1123 Budapest, Hungary)

  • Ágoston Nagy

    (Sports Science Coordination Institute, University of Debrecen, 4032 Debrecen, Hungary)

  • Szilvia Borbély

    (Institute of Physical Education and Sports Studies, University of Nyíregyháza, 4400 Nyíregyháza, Hungary)

  • Tamás Sterbenz

    (Sport Economics and Decision Making Research Centre, Hungarian University of Sports Science, 1123 Budapest, Hungary)

Abstract

In the game of basketball game-related statistics are utilised to help decision makers to evaluate players’ achievements. Previous research showed that in the case of individual awards, points are preferred over other indicators of effectiveness. Based on recent studies and following Simon’s bounded rationality, in our interpretation, decision-makers decide on nominations at the post-grant level according to points scoring which is the easiest aspect to assess and the most familiar to them. In this context we also hypothesise that youth all-star players have better overall performance than their not selected teammates. To test our hypotheses we selected all of the youth awarded male players and their teammates from 2004 to 2019. In our sample, we examined n = 3198 player statistics. Two groups were created with nominated and not selected players. We used a two-sample t -test, and correlation matrix to examine the relationship between the variables ( p < 0.001). We found that scoring is the most important selection criteria for decision-makers (r = 0.605; p = 0.000) and the selected players had significantly better individual statistics. An important finding of our study is that although efficiency (EFF) is used to measure the players’ contribution to the game, it is not the primary selection factor and should therefore be redefined.

Suggested Citation

  • Zsombor Zilinyi & Ágoston Nagy & Szilvia Borbély & Tamás Sterbenz, 2022. "Bounded Rationality and Heuristics: Do We Only Need to Score in Order to Win Individual Awards in Basketball?," IJERPH, MDPI, vol. 19(4), pages 1-9, February.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2383-:d:752906
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    References listed on IDEAS

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    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. 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. Anton Kalén & Alexandra Pérez-Ferreirós & Ezequiel Rey & Alexis Padrón-Cabo, 2017. "Senior and youth national team competitive experience: influence on player and team performance in European basketball championships," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(6), pages 832-847, November.
    4. Erhan Çene, 2018. "What is the difference between a winning and a losing team: insights from Euroleague basketball," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 18(1), pages 55-68, January.
    5. Martí Casals & A. Jose Martinez, 2013. "Modelling player performance in basketball through mixed models," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 13(1), pages 64-82, April.
    6. Miguel Angel Gomez & Lorenzo Gasperi & Corrado Lupo, 2016. "Performance analysis of game dynamics during the 4 game quarter of NBA close games," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 16(1), pages 249-263, April.
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