Factors associated to the market value of professional soccer players


  • Mario Sánchez Universidad Pontificia de Salamanca https://orcid.org/0000-0003-3750-618X
  • Begoña Orgaz Facultad de Psicología. Universidad de Salamanca https://orcid.org/0000-0003-2244-6321
  • Rodrigo Ramirez-Campillo Exercise and Rehabilitation Sciences Laboratory. School of Physical Therapy. Faculty of Rehabilitation Sciences. Universidad Andres Bello. Santiago, Chile. https://orcid.org/0000-0003-2035-3279
  • Fabio Y. Nakamura Department of Medicine and Aging Sciences, “G. d’Annunzio” University of Chieti-Pescara. Italy. https://orcid.org/0000-0002-5336-3652
  • Jesús M. Luis-Pereira Facultad de Educación. Universidad Pontificia de Salamanca https://orcid.org/0000-0001-6397-5989
  • Manuel Carretero Grupo de Investigación Planificación y evaluación del entrenamiento y rendimiento deportivo (PRENDE). Universidad Pontificia de Salamanca https://orcid.org/0000-0002-3026-5304
  • Javier Sánchez-Sánchez Grupo de Investigación Planificación y evaluación del entrenamiento y rendimiento deportivo (PRENDE). Universidad Pontificia de Salamanca https://orcid.org/0000-0003-4585-247X
DOI: https://doi.org/10.6018/cpd.457441
Palabras clave: Deporte, Deportistas, Rendimiento, Deportistas jóvenes, Impacto económico.


The objective of this study was analysed to the market value (MV) of professional soccer players from Top-5 European Soccer Leagues. An ANOVA analysed the effect of the independent variables on the MV of the soccer players, with p<0.01. Soccer players from the Premier League (PL) showed greater MV compared to other leagues. Foreign soccer players showed greater MV compared to national soccer players. Soccer players between 21-30 years showed greater MV compared to those <21 and >30 years. Forward and midfielders showed greater MV compared to goalkeepers and backs. Soccer players that represented their countries at international matches showed greater MV compared to those that did not. The soccer players with a youth background formation in their clubs in the Premier League and La Liga showed greater MV compared to soccer players coming from other clubs. In conclusion, intrinsic and extrinsic factors affect the MV of soccer players. Research results may be useful to the sport managers in the selection of professional soccer players. 


Los datos de descargas todavía no están disponibles.


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

Anderson, C., & Sally, D. (2013). The Numbers Game: Why Everything You Know About Football is Wrong. London: Viking.

Bakeman, R., & Quera, V. (1996). Interaction analysis. Sequential analysis with SDIS y GSEQ. Madrid: Editorial Ra-Ma.

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.

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].

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

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.

Dendir, S. (2016). When do soccer players peak? A note. Journal of Sports Analytics, 2, 89–105. https://doi.org/10.3233/JSA-160021

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

Espitia-Escuer, M., García-Bernal, J., & García-Cebrián, L. (2018). New realities and approaches in 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).

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

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

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.

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.

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

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

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

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

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

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

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

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

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.

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

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

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

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

Poza, C. (2020). A Conceptual Model to Measure Football Player’s Market Value. A Proposal by means of an Analytic Hierarchy Process. RICYDE. Revista internacional de ciencias del deporte, 59(16), 24-42. https://doi.org/10.5232/ricyde2020.05903

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

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

Rodríguez-Lorenzo, L. (2015). Which is the best league in the world? Offensive Football, 1-10.

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

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

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). International Association of Sports Economists. Recuperado de: https://ideas.repec.org/p/spe/wpaper/0619.html

Tabachnick G. G., & Fidell L. S. (2007). Experimental Designs Using ANOVA. Belmont, CA: Duxbury.

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

TransferMarkt: www.transfermarkt.com: downloaded 6th May, 2014 32.

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

Yuang, H. (2015). Predicting Market Value of Soccer Players Using Linear Modeling Techniques. University of California, Berkeley. Unpublished document.

Cómo citar
Sánchez, M., Orgaz, B., Ramirez-Campillo, R., Nakamura, F. Y., Luis-Pereira, J. M., Carretero, M., & Sánchez-Sánchez, J. (2022). Factors associated to the market value of professional soccer players. Cuadernos de Psicología del Deporte, 22(3), 140–150. https://doi.org/10.6018/cpd.457441
Ciencias del Deporte

Artículos más leídos del mismo autor/a