Is a more exciting LaLiga possible?

Authors

  • M. Pic
  • PR García-Díaz
DOI: https://doi.org/10.6018/sportk.391701
Keywords: competitiveness, elo, football, Kendall, rating, ranking

Abstract

The ranking of LaLiga championship for the 2008/09 season was one of the poorest ever in terms of uncertainty. The main aim of this study is to stimulate public interest in the Spanish League championship. To achieve this, an alternative ranking system is proposed using variables derived from soccer’s internal logic and the quality of the various teams. Applying Kendall’s index of concordance, the two rankings were compared play by play demonstrating the viability of the new model, with different levels of competitiveness. The properties and limitations of the model were compared with the one currently used by LaLiga. Providing a process which makes allowances for the wide range of quality of the teams playing in LaLiga is an alternative intended to foment the competitiveness of the championship.

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References

Arrow, K. (1963). Social choice and individual values. Yale: University Press.

AS. (2008). BBVA league: 2008/09. Website. Retrieved from http://resultados.as.com/resultados/futbol/primera/2008_2009/calendario

Ben-Naim, E., Vazquez, F., & Redner, S. (2007). What is the most competitive sport? Korean Physical Society, 50(1), 124–126.

Bowman, R. A., Lambrinos, J., & Ashman, T. (2012). Competitive balance in the eyes of the sports fan: Prospective measures using point spreads in the NFL and NBA. Journal of Sports Economics, 14(5), 498-520.

Burillo, P., Pérez-González, B., & Salinero, J. (2012). ¿Liga bipolar? El balance competitivo de las principales ligas europeas de fútbol. In Economía del Deporte en tiempos de crisis.

Calabuig, F., Molinos, M., & Sala. R.(Ed), 35-38. Retrieved from http://docplayer.es/847151-Economia-del-deporte-en-tiempos-de-crisis-calabuig-f-molinos-m-y-sala-r-eds.html

Ceroacero. (2008). Ceroacero. Website. Retrieved from www.ceroacero.es

Criado, R., García, E.; Pedroche, F., & Romance, M. (2013). A new method for comparing rankings through complex networks: Model and analysis of competitiveness of major European soccer leagues. Chaos: An Interdisciplinary Journal of Nonlinear Science, 23(4), 498-520.

de Saá, Y., González, J. M., Montesdeoca, S. S., Ruiz, D. R., García-Rodríguez, A., & García-Manso, J. M. (2012). A model for competitiveness level analysis in sports competitions: Application to basketball. Physica A: Statistical Mechanics and its Applications, 391(10), 2997-3004.

Dewenter, R., & Namini, J. E. (2013). How to make soccer more attractive? Rewards for a victory, the teams' offensiveness, and the home bias. Journal of Sports Economics, 14(1), 65-86.

Elo, A. (1965). Age changes in master chess performances. Journals of Gerontology, 20(3), 289-299.

Elo, A. (1978). The rating of chessplayers: past and present. New York: Arco Publishing, Inc.

Feller, W. (1968). An introduction to probability theory and its applications. New york: Wiley.

García-Unanue, J.; Godoy, A.; Villarrubia, L.; Sánchez-Sánchez, J., & Gallardo, L. (2014). Competitive balance in European basketball leagues and the NBA. Cultura, Ciencia y Deporte, 9(27), 235-242.

Glickman, M. (2000). The glicko rating system & The glicko-2 rating system. Preprint. Retrieved from http://www.glicko.net/glicko.html

Glickman, M., & Doan, T. (2015). The USCF rating system. Preprint. Retrieved fromhttp://glicko.net/ratings.html

Glickman, M., & Jones, A. (1999). Rating the chess rating system. Chance, 12 (2), 21–28.

Gómez, M.A., Lago-Peñas, C., Viaño, J., & González-García, I. (2014). Effects of game location, team quality and final outcome on game-related statistics in professional handball close games. Kineziologija, 46(2), 249-257.

Gómez, M. A., Pollard, R., & Luis-Pascual, J. C. (2011). Comparison of the home advantage in nine different professional team sports in Spain. Perceptual and motor skills, 113(1), 150-156.

Kendall, M., & Smith, B. (1939). The problem of m rankings. The Annals of Mathematical Statistics, 10(3), 275–287.

Langville, A., & Meyer, C. (2012). Who’s #1? the Science of rating and ranking. Princeton: University Press.

Lenten, L. (2015). Measurement of competitive balance in conference and divisional tournament design. Journal of Sports Economics, 16(1), 3–25.

LFP. (2008). LFP. Website. Retrieved from www.laliga.es

Live Chess Rating. (2015). Website. Retrieved from http://www.2700chess.com/

Marca. (2011). ¿Qué propones para acabar con esta liga bipolar? Website. Retrieved from http://www.marca.com/2011/08/31/futbol/1adivision/1314745669.html

McClintock, W. (1977). Statistical study of the Elo Rating System (Tech. Rep.). Report to USCF Policy Board.

Merritt, S., & Clauset, A. (2013). Environmental structure and competitive scoring advantages in team competitions. Scientific Reports, 3, 3067.

Mocholí, M., & Sala, R. (2009). La incertidumbre de los resultados en las ligas española, inglesa e italiana (2008/09) mediante el rating ELO. XVII Jornadas ASEPUMA , 17(1), 1–27.

Motegi, S., & Masuda, N. (2012). A network-based dynamical ranking system for competitive sports. Scientific Reports, 2, 904.

Park, J., & Yook, S. (2012). Bayesian inference of natural rankings in incomplete competition networks. Scientific Reports, 4, 6212.

Parlebas, P. (2001). Juegos, deportes y sociedades. Léxico de praxiología motriz. Barcelona: Paidotribo.

Pedroche, F., & Verdoy, J. (2014). Comparison of some measures of competitive balance in regular seasons of European basketball leagues. Modelling for Engineering and Human Behavior, 1(1), 106–114.

Pinilla, J., Hernández, Negrin, M. A., & González-Martel, C. (2019). El pago por méritos en los derechos audiovisuales del fútbol español:¿ debemos primar el espectáculo (goles) o la clasificación?. Sport TK: revista euroamericana de ciencias del deporte, 8(1), 45-50.

Pollard, R. (1986). Home advantage in soccer: A retrospective analysis. Journal of Sports Sciences, 4(3), 237-248.

Puig, N., & Heinemann, K. (1991). El deporte en la perspectiva del año 2000. Papers: Revista de Sociología, 38, 123–141.

Puterman, M. L., & Wang, Q. (2011). Optimal dynamic clustering through relegation and promotion: How to design a competitive sports league. Journal of Quantitative Analysis in Sports, 7(2), 1-34.

Runyan, B. (1997). The world football Elo rating system. Website. Retrieved from http://eloratings.net/system.html

Stefani, R., & Pollard, R. (2007). Football ratings systems for top-level competition: A critical survey. Journal of Quantitative Analysis in Sports, 3(3), 1–22.

Szymanski, S. (2003). The economic design of sporting contests. Journal of Economic Literature, 41(4), 1137–1187.

Verbic, M., & Kuzmin, F. (2009). Coefficient of structural concordance and an example of its application: Labour productivity and wages in Slovenia. Panoeconomicus, 56(2), 227–240.

Published
28-07-2019
How to Cite
Pic, M., & García-Díaz , P. (2019). Is a more exciting LaLiga possible?. SPORT TK-EuroAmerican Journal of Sport Sciences, 8(2), 7–15. https://doi.org/10.6018/sportk.391701
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Articles