IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0221258.html
   My bibliography  Save this article

Players’ selection for basketball teams, through Performance Index Rating, using multiobjective evolutionary algorithms

Author

Listed:
  • Miguel Ángel Pérez-Toledano
  • Francisco J Rodriguez
  • Javier García-Rubio
  • Sergio José Ibañez

Abstract

In any sport the selection of players for a team is fundamental for its subsequent performance. Many factors condition the selection process from the characteristics of the sport discipline to financial limitations, including a long list of restrictions associated with the environment of the competitions in which the team takes part. All of this makes the process of selecting a roster of players very complex, as it is affected by multiple variables and in many cases marked by a great deal of subjectivity. The purpose of this article was to objectively select the players for a basketball team using an evolutionary algorithm, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) that uses stochastic search methods based on the imitation of natural biological evolution. The sample was composed of the players from the teams competing in the top Spanish basketball league, the Association of Basketball Clubs (ACB). To assess the quality of the solutions obtained, the results were compared with the teams in the ACB playing in the same competition as the players used in the study. The results make it possible to obtain different solutions for composing teams rendering financial resources profitable and taking into account the restrictions of the competition and of each sport management.

Suggested Citation

  • Miguel Ángel Pérez-Toledano & Francisco J Rodriguez & Javier García-Rubio & Sergio José Ibañez, 2019. "Players’ selection for basketball teams, through Performance Index Rating, using multiobjective evolutionary algorithms," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-20, September.
  • Handle: RePEc:plo:pone00:0221258
    DOI: 10.1371/journal.pone.0221258
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0221258
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0221258&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0221258?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kubatko Justin & Oliver Dean & Pelton Kevin & Rosenbaum Dan T, 2007. "A Starting Point for Analyzing Basketball Statistics," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 3(3), pages 1-24, July.
    2. Bruno Travassos & Keith Davids & Duarte Araújo & T. Pedro Esteves, 2013. "Performance analysis in team sports: Advances from an Ecological Dynamics approach," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 13(1), pages 83-95, April.
    3. Sergio J Ibáñez & Aitor Mazo & Juarez Nascimento & Javier García-Rubio, 2018. "The Relative Age Effect in under-18 basketball: Effects on performance according to playing position," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-11, July.
    4. Pedro Garcia-del-Barrio & Stefan Szymanski, 2009. "Goal! Profit Maximization Versus Win Maximization in Soccer," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 34(1), pages 45-68, February.
    5. Fry Michael J & Lundberg Andrew W & Ohlmann Jeffrey W, 2007. "A Player Selection Heuristic for a Sports League Draft," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 3(2), pages 1-35, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Joseph Price & Justin Wolfers, 2010. "Racial Discrimination Among NBA Referees," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(4), pages 1859-1887.
    2. Jonas Hammerschmidt & Fabian Eggers & Sascha Kraus & Paul Jones & Matthias Filser, 2020. "Entrepreneurial orientation in sports entrepreneurship - a mixed methods analysis of professional soccer clubs in the German-speaking countries," International Entrepreneurship and Management Journal, Springer, vol. 16(3), pages 839-857, September.
    3. Pedro Garcia‐del‐Barrio & Pablo Agnese, 2023. "To comply or not to comply? How a UEFA wage‐to‐revenue requirement might affect the sport and managerial performance of soccer clubs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 767-786, March.
    4. Vojtěch Kotrba, 2020. "Heuristics in fantasy sports: is it profitable to strategize based on favourite of the match?," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 19(1), pages 195-206, June.
    5. Carlo Bellavite Pellegrini & Raul Caruso & Marco Di Domizio, 2021. "Relative wages, payroll structure and performance in soccer. Evidence from Italian Serie A (2007-2019)," DISCE - Working Papers del Dipartimento di Politica Economica dipe0015, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    6. Pedro Garcia‐del‐Barrio & Francesc Pujol, 2009. "The Rationality of Under‐employing the Best‐performing Soccer Players," LABOUR, CEIS, vol. 23(3), pages 397-419, September.
    7. Helmut M. Dietl & Martin Grossmann & Markus Lang, 2011. "Competitive Balance and Revenue Sharing in Sports Leagues With Utility-Maximizing Teams," Journal of Sports Economics, , vol. 12(3), pages 284-308, June.
    8. Paul Madden, 2015. "Welfare Economics of “Financial Fair Play†in a Sports League With Benefactor Owners," Journal of Sports Economics, , vol. 16(2), pages 159-184, February.
    9. Markel Rico-González & José Pino-Ortega & Fabio Y. Nakamura & Felipe Arruda Moura & Asier Los Arcos, 2020. "Identification, Computational Examination, Critical Assessment and Future Considerations of Distance Variables to Assess Collective Tactical Behaviour in Team Invasion Sports by Positional Data: A Sys," IJERPH, MDPI, vol. 17(6), pages 1-14, March.
    10. Paul Madden & Mario Pezzino, 2013. "Sports League Quality, Broadcaster TV Rights Bids and Wholesale Regulation of Sports Channels," Economics Discussion Paper Series 1304, Economics, The University of Manchester.
    11. Raul Caruso & Marco Di Domizio & Domenico Rossignoli, 2017. "Aggregate wages of players and performance in Italian Serie A," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 34(3), pages 515-531, December.
    12. Nyberg, Sten & Priks, Mikael, 2017. "Public order and private payments: Evidence from the Swedish soccer league," Journal of Public Economics, Elsevier, vol. 153(C), pages 1-8.
    13. Eremin, G., 2018. "Analysis of Factors Influencing the Pricing of Transfers in European Professional Football," Journal of the New Economic Association, New Economic Association, vol. 40(4), pages 174-183.
    14. Bastien Drut & Gaël Raballand, 2010. "The Impact of Governance on European Football Leagues’ Competitiveness," EconomiX Working Papers 2010-27, University of Paris Nanterre, EconomiX.
    15. Bernd Frick, 2013. "Team wage bills and sporting performance: evidence from (major and minor) European football leagues," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 4, pages 63-80, Edward Elgar Publishing.
    16. Letian Zhang, 2019. "Who Loses When a Team Wins? Better Performance Increases Racial Bias," Organization Science, INFORMS, vol. 30(1), pages 40-50, February.
    17. Marco Di Domizio & Carlo Bellavite Pellegrini & Raul Caruso, 2022. "Payroll dispersion and performance in soccer: A seasonal perspective analysis for Italian Serie A (2007–2021)," Contemporary Economic Policy, Western Economic Association International, vol. 40(3), pages 513-525, July.
    18. Deschamps, Pierre & De Sousa, José, 2021. "Labor mobility and racial discrimination," European Economic Review, Elsevier, vol. 135(C).
    19. Leonardo Lamas & Felipe Santana & Matthew Heiner & Carlos Ugrinowitsch & Gilbert Fellingham, 2015. "Modeling the Offensive-Defensive Interaction and Resulting Outcomes in Basketball," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-14, December.
    20. Alessandro Chessa & Pierpaolo D’Urso & Livia Giovanni & Vincenzina Vitale & Alfonso Gebbia, 2023. "Complex networks for community detection of basketball players," Annals of Operations Research, Springer, vol. 325(1), pages 363-389, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0221258. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.