Universality in the distance between two teams in a football tournament

被引:5
作者
da Silva, Roberto [1 ]
Dahmen, Silvio R. [1 ]
机构
[1] Univ Fed Rio Grande do Sul, Inst Fis, BR-91501970 Porto Alegre, RS, Brazil
关键词
Football statistics; Stochastic process; Fitting and universality; SOCCER; MODEL; DISTRIBUTIONS; SIMULATIONS; TIME;
D O I
10.1016/j.physa.2013.12.008
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Is football (soccer) a universal sport? Beyond the question of geographical distribution, where the answer is most certainly yes, when looked at from a mathematical viewpoint the scoring process during a match can be thought of, in a first approximation, as being modeled by a Poisson distribution. Recently, it was shown that the scoring of real tournaments can be reproduced by means of an agent-based model (da Silva et al. (2013) [24]) based on two simple hypotheses: (i) the ability of a team to win a match is given by the rate of a Poisson distribution that governs its scoring during a match; and (ii) such ability evolves over time according to results of previous matches. In this article we are interested in the question of whether the time series represented by the scores of teams have universal properties. For this purpose we define a distance between two teams as the square root of the sum of squares of the score differences between teams over all rounds in a double-round-robin-system and study how this distance evolves over time. Our results suggest a universal distance distribution of tournaments of different major leagues which is better characterized by an exponentially modified Gaussian (EMG). This result is corroborated by our agent-based model. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:56 / 64
页数:9
相关论文
共 30 条
[1]   Study of phase transitions from short-time non-equilibrium behaviour [J].
Albano, E. V. ;
Bab, M. A. ;
Baglietto, G. ;
Borzi, R. A. ;
Grigera, T. S. ;
Loscar, E. S. ;
Rodriguez, D. E. ;
Puzzo, M. L. Rubio ;
Saracco, G. P. .
REPORTS ON PROGRESS IN PHYSICS, 2011, 74 (02)
[2]   Football fever: goal distributions and non-Gaussian statistics [J].
Bittner, E. ;
Nussbaumer, A. ;
Janke, W. ;
Weigel, M. .
EUROPEAN PHYSICAL JOURNAL B, 2009, 67 (03) :459-471
[3]   Self-affirmation model for football goal distributions [J].
Bittner, E. ;
Nussbaumer, A. ;
Janke, W. ;
Weigel, M. .
EPL, 2007, 78 (05)
[4]  
Bouchaud J.-P., 2003, Theory of Financial Risk and Derivative Pricing: From Statistical Physics to Risk Management
[5]   Anomalous diffusion in the evolution of soccer championship scores: Real data, mean-field analysis, and an agent-based model [J].
da Silva, Roberto ;
Vainstein, Mendeli H. ;
Goncalves, Sebastian ;
Paula, Felipe S. F. .
PHYSICAL REVIEW E, 2013, 88 (02)
[6]   A simple non-Markovian computational model of the statistics of soccer leagues: Emergence and scaling effects [J].
da Silva, Roberto ;
Vainstein, Mendeli H. ;
Lamb, Luis C. ;
Prado, Sandra D. .
COMPUTER PHYSICS COMMUNICATIONS, 2013, 184 (03) :661-670
[7]   A simple combinatorial method to describe particle retention time in random media with applications in chromatography [J].
da Silva, Roberto ;
Lamb, Luis C. ;
Lima, Eder C. ;
Dupont, Jairton .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2012, 391 (1-2) :1-7
[8]   Statistical fluctuations for the noise current from random telegraph signals in semiconductor devices: Monte Carlo computer simulations and best fits [J].
da Silva, Roberto ;
Brusamarello, Lucas ;
Wirth, Gilson I. .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2010, 389 (14) :2687-2699
[9]   A model for competitiveness level analysis in sports competitions: Application to basketball [J].
de Saa Guerra, Y. ;
Martin Gonzalez, J. M. ;
Sarmiento Montesdeoca, S. ;
Rodriguez Ruiz, D. ;
Garcia-Rodriguez, A. ;
Garcia-Manso, J. M. .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2012, 391 (10) :2997-3004
[10]   Simple lessons from complexity [J].
Goldenfeld, N ;
Kadanoff, LP .
SCIENCE, 1999, 284 (5411) :87-89