Factors associated to the market value of professional soccer players

  1. Sánchez, Mario
  2. Orgaz, Begoña 1
  3. Ramirez-Campillo, Rodrigo 2
  4. Nakamura, Fabio Y. 3
  5. Luis-Pereira, Jesús M. 1
  6. Carretero, Manuel 1
  7. Sánchez-Sánchez, Javier 1
  1. 1 Universidad Pontificia de Salamanca
    info

    Universidad Pontificia de Salamanca

    Salamanca, España

    ROR https://ror.org/02jj93564

  2. 2 Universidad Andres Bello. Santiago, Chile
  3. 3 University of Chieti-Pescara, Italy
Mostrar afiliaciones +
Revista:
Cuadernos de psicología del deporte

ISSN: 1578-8423,  1989-5879

Año de publicación: 2022

Título del ejemplar: CPD3(2022)

Volumen: 22

Número: 3

Páginas: 148-158

Tipo: Artículo

DOI: 10.6018/CPD.457441 DIALNET GOOGLE SCHOLAR lock_openDIGITUM editor

Otras publicaciones en: Cuadernos de psicología del deporte

Resumen

El objetivo de este estudio fue analizar el valor de mercado (VM) de futbolistas profesionales de las 5 mejores ligas europeas de fútbol. Se analizó el efecto de las variables independientes sobre el VM de los futbolistas, mediante una ANOVA con un nivel de significación de p <0.01. Los futbolistas de la Premier League (PL) mostraron mayor VM en comparación con los de otras ligas. Los futbolistas extranjeros mostraron mayor VM en comparación con los futbolistas nacionales. Los futbolistas entre 21-30 años mostraron mayor VM en comparación con los <21 y > 30 años. Los delanteros y centrocampistas, mostraron mayor VM en comparación con los porteros y los laterales. Los futbolistas que representaron a sus países en partidos internacionales mostraron mayor VM en comparación con los que no lo hicieron. Los futbolistas de formación juvenil en clubes de la PL y La Liga (LL) mostraron mayor VM en comparación con los futbolistas de otros clubes. En conclusión, factores intrínsecos y extrínsecos afectan el VM de los futbolistas. Los resultados de esta investigación pueden ser útiles para los directores deportivos en el proceso de selección de futbolistas profesionales.

Referencias bibliográficas

  • 1.Allen, S. V., & Hopkins, W. G. (2015). Age of peak competitive performance of elite athletes: a systematic review. Sports Medicine, 45, 1431–1441. https://doi.org/10.1007/s40279-015-0354-3
  • 2.Anderson, C., & Sally, D. (2013). The Numbers Game: Why Everything You Know About Football is Wrong. London: Viking.
  • 3.Bakeman, R., & Quera, V. (1996). Interaction analysis. Sequential analysis with SDIS y GSEQ. Madrid: Editorial Ra-Ma
  • 4.Cabral de Andrade, M. O., González-Víllora, S., Casanova, F., & Teoldo, I. (2020). The Attention As a Key Element to Improve Tactical Behavior Efficiency of Young Soccer Players. Journal of Sport Psychology, 29(2), 47–55.
  • 5.Caley, M. (2013). The Football Aging Curve. Sb Nation Cartilage Free Captain. Available at: http://cartilagefreecaptain.sbnation.com/2013/12/9/5191634/the-football-aging-curve [accessed October 1, 2018].
  • 6.Castañer, M., Barreira, D., Camerino, O., Anguera, M.T., Canton,A., & Hileno, R. (2016). Goal Scoring in Soccer: A Polar Coordinate Analysis of Motor Skills Used by Lionel Messi. Frontiers of Psychology, 7,806. https://doi.org/10.3389/fpsyg.2016.00806.
  • 7.Castillo-Rodríguez A, López-Aguilar J, & Alonso-Arbiol I. (2021). Relación Entre Respuestas Físico-Fisiológicas Y Psicológicas En Árbitros De Fútbol Amateur. Journal of Sport Psychology, 30(3), 73-85.
  • 8.Dendir, S. (2016). When do soccer players peak? A note. Journal of Sports Analytics, 2, 89–105. https://doi.org/10.3233/JSA-160021
  • 9.Doyle J.R., & Bottomley P.A. (2018) Relative age effect in elite soccer: More early-born players, but no better valued, and no paragon clubs or countries. PLoS ONE 13(2), e0192209. https://doi. org/10.1371/journal.pone.0192209
  • 10.Espitia-Escuer, M., García-Bernal, J., & García-Cebrián, L. (2018). New realities and approaches n sports organizations and events: implications for the economy and management. Chapter 1: Distribution of broadcasting rights in the 5 major European Football Leagues. Department of Business Management and Organization (University of Zaragoza).
  • 11.Faude, O., Koch, T., & Meyer, T. (2012). Straight sprinting is the most frequent action in goal situations in professional football. Journal of Sports Sciences, 30, 625–631. https://doi.org/ 10.1080 / 02640414.2012.665940
  • 12.Feess, E., & Stähler, F. (2005). Revenue sharing in professional sports leagues (Economics Discussion Papers Series No. 512). University of Otago. Retrieved from http://hdl.handle.net/10523/880
  • 13.Fumarco, L., & Rossi, G. (2015). Relative Age Effect on Labor Market Outcomes for High Skilled Workers –Evidence from Soccer, 9. Management Working Papers, Birkbeck Department of Management, https://EconPapers.repec.org/RePEc:img:manwps:9.
  • 14.García-del Barrio, P., & Pujol, F. (2008). The role of soccer in today ́s society: soccer, leisure and business. Business and Humanism Magazine, 11(1), 89-108. ISSN-e 2254-6413.
  • 15.Gaviria, A., Valbuena, N., & Gregory, A. (2019). Globalization and Inequality: The Case of International Soccer, SSRN, 38. http://dx.doi.org/10.2139/ssrn.3463453
  • 16.Gerhads, J. & Mutz, M. (2017). Who wins the championship? Market value and team composition as predictors of success in the top European football leagues, European Societies, 19(3), 223 242. https://doi.org/10.1080/14616696.2016.1268704
  • 17.Herm, S., Callsen-Bracker, H. M., & Kreis, H. (2014). When the crowd evaluates soccer players’ market values: Accuracy and evaluation attributes of an online community. Sport Management Review, 17(4), 484-492. doi: https://doi.org/10.1016/j.smr.2013.12.006
  • 18.Kalen A., Rey E., de Rellán-Guerra, A.S., & Lago-Peñas, C. (2019) Are Soccer Players Older Now Than Before? Aging Trends and Market Value in the Last Three Decades of the UEFA Champions League. Frontiers of Psychology, 10, 76. https://doi.org/10.3389/fpsyg.2019.00076
  • 19.Lago-Peñas, Carlos, García, Antonio, & Gómez-López, Maite. (2016). Efecto de un calendario sobrecargado de partidos sobre el rendimiento físico en el fútbol de élite. Cuadernos de Psicología del Deporte,16(1), 287-294. ISSN 1989-5879
  • 20.Loffing, F., Solter, F., Hagemann, N., & Strauss, B. (2015). Accuracy of outcome anticipation, but not gaze behavior, differs against left-and righthanded penalties in team-handball goalkeeping. Frontiers of Psychology, 6, 1820. https://doi.org/10.3389/fpsyg.2015.01820
  • 21.Majewski, S. (2016). Identification of Factors Determining Market Value of the Most Valuable Football Players. Journal of Management and Business Administration, 24(3), 91-104. September 2016. https://doi.org/10.7206/jmba.ce.2450-7814.177
  • 22.Matesanz, D., Holzmayer, F., Torgler, B., Schmidt, S.L., & Ortega, G.J. (2018). Transfer market activities and sportive performance in European first football leagues: A dynamic network approach. PLoS ONE 13(12)e0209362. https://doi.org/10.1371/journal.pone.0209362
  • 23.Michailidis, Y. (2014). Analysis of goals scored in the 2014 World Cup soccer tournament held in Brazil. International Journal of Sport Studies, 4(9), 1017-1026.
  • 24.Oterhals G., Lorås H., & Pedersen A.V. (2021). Age at Nomination Among Soccer Players Nominated for Major International Individual Awards: A Better Proxy for the Age of Peak Individual Soccer Performance? Frontiers in Psychology, 12,661523. doi: 10.3389/fpsyg.2021.661523
  • 25.Peeters, T. (2018). Testing the Wisdom of Crowds in the field: Transfermarkt valuations and international soccer results. International Journal of Forecasting, 34(1), 17-29. https://doi.org/10.1016/j.ijforecast.2017.08.002
  • 26.Pérez-González, B., Fernández-Luna, A., Vega, P., & Burillo, P. (2018). The relative age effect: Does it also effect perceived market value? The case of the Spanish LFP (Professsional Football League). Journal of Physical Education and Sport, 18(3), 1408-1411. https://doi.org/10.7752/jpes.2018.s3208
  • 27.Polito, L.F.T., Figueira, A.J., Miranda, M.L.J., Chtourou, H., Miranda, J.M., & Brandão, M.R.F. (2017). Indicateurs psychophysiologiques de la fatigue chez les footballeurs : une revue systématique. Science & Sport, 32(1), 1–13. https://doi.org/10.1016/j.scispo.2016.09.003
  • 28.Poza, C. (2020). A Conceptual Model to Measure Football Player’s Market Value. A Proposal by means of an Analytic Hierarchy Process. RICYDE. Revistainternacional de ciencias del deporte, 59(16), 24-42. https://doi.org/10.5232/ricyde2020.05903
  • 29.Reverter-Masía, J., Adell Pla, L., Hernández-González, V., Jové-Deltell, C., & Fonseca, T. (2016). Influence of the month of birth to play in Spanish professional soccer, Physical Education and Science, 18(2), e011. Recovered from http://www.efyc.fahce.unlp.edu.ar/article/view/EFyCe011
  • 30.Rohde, M. & Breuer, C. (2017). The market for football club investors: a review of theory and empirical evidence from professional European football. European Sport Management Quarterly, 17(3), 265-289. https://doi.org/10.1080/16184742.2017.1279203
  • 31.Rodríguez-Lorenzo, L. (2015). Which is the best league in the world? Offensive Football, 1-10.32.Serra-Olivares, Jaime, García-López, Luis M., Calderón, Antonio, & Cuevas-Campos, Ricardo. (2015). Relación del conocimiento táctico de jóvenes futbolistas con la edad, la experiencia y el nivel de pericia. Cuadernos de Psicología del Deporte, 15(3), 105-112. https://dx.doi.org/10.4321/S1578-84232015000300010
  • 33.Szymanski, S. (2001). Income Inequality, Competitive Balance and the Attractiveness of Team Sports: Some Evidence and a Natural Experiment from English Soccer. The Economic Journal, 111, 69-84. https://doi.org/10.1111/1468-0297.00599
  • 34.Szymanski, S. & Leach, S. (2006). Tilting the Playing Field (Why a Sports League Planner Would Choose Less, not More, Competitive Balance): The Case of English Football. Working Papers 6(19). InternationalAssociation of Sports Economists. Recuperado de: https://ideas.repec.org/p/spe/wpaper/0619.html
  • 35.Tabachnick G. G., & Fidell L. S. (2007). Experimental Designs Using ANOVA. Belmont, CA: Duxbury.
  • 36.Teixeira, L. A., Oliveira, D. L., Romano, R. G., & Correa, S. C. (2011). Leg preference and interlateral asymmetry of balance stability in soccer players. Research Quarterly for Exercise and Sport, 82, 21–27. https://doi.org/10.1080/02701367.2011.10599718
  • 37.TransferMarkt: www.transfermarkt.com: downloaded 6th May, 2014 32.
  • 38.Williams, A.M., & Reilly, T. (2010). Talent identification and development in soccer. Journal of Sports Sciences, 18(9), 657-667. https://doi.org/10.1080/02640410050120041
  • 39.Yuang, H. (2015). Predicting Market Value of Soccer Players Using Linear Modeling Techniques. University of California, Berkeley. Unpublished document.
Fuente de los datos: Dialnet