All Title Author
Keywords Abstract

Publish in OALib Journal
ISSN: 2333-9721
APC: Only $99


Role of Regression to the Mean and Loss Aversion in Brazilian Soccer Club Performance

DOI: 10.4236/oalib.1105603, PP. 1-10

Subject Areas: Behavioral Economics

Keywords: Soccer, Regression to the Mean, Loss Aversion, Luck

Full-Text   Cite this paper   Add to My Lib


Causal explanations are often favored to explain club performance in soccer tournaments, and the role that luck plays is usually neglected. Here, we consider three recent seasons of the first-division Brazilian soccer league to examine the relative importance to club success of loss aversion (a causal explanation) and regression to the mean (luck). We find that club performance depends on both, and quantify this finding.

Cite this paper

Esquierro, L. and Silva, S. D. (2019). Role of Regression to the Mean and Loss Aversion in Brazilian Soccer Club Performance. Open Access Library Journal, 6, e5603. doi:


[1]  Gladwell, M. (2008) Outliers: The Story of Success. Little, Brown and Company, New York.
[2]  Kahneman, D. (2011) Thinking, Fast and Slow. Farrar, Straus and Giroux, New York.
[3]  Pluchino, A., Biondo, A.E. and Rapisarda, A. (2018) Talent versus Luck: The Role of Randomness in Success and Failure. Advances in Complex Systems, 21, 1-31.
[4]  Galton, F. (1886) Regression towards Mediocrity in Hereditary Stature. Journal of the Anthropological Institute of Great Britain and Ireland, 15, 246-263.
[5]  Bulmer, M. (2003) Francis Galton: Pioneer of Heredity and Biometry. Johns Hopkins University Press, Baltimore, MD.
[6]  Wainer, H. (2007) The Most Dangerous Equation. American Scientist, 95, 249-256.
[7]  Silva, M. and Da Silva, S. (2019) Regressive Prediction Is the Best Way to Forecast Sports Outcomes: Evidence from Brazilian Soccer. Open Access Library Journal, 6, e5264.
[8]  Turner, M. (1996) The Literary Mind: The Origins of Thought and Language. Oxford University Press, New York.
[9]  Taleb, N.N. (2010) The Black Swan: The Impact of the Highly Improbable. Random House, New York.


comments powered by Disqus

Contact Us


微信:OALib Journal