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Scaling in tournaments

E. Ben-Naim1, S. Redner2 and F. Vazquez1,2

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We study a stochastic process that mimics single-game elimination tournaments. In our model, the outcome of each match is stochastic: the weaker player wins with upset probability q≤1/2, and the stronger player wins with probability 1−q. The loser is eliminated. Extremal statistics of the initial distribution of player strengths governs the tournament outcome. For a uniform initial distribution of strengths, the rank of the winner, x*, decays algebraically with the number of players, N, as x*~N−β. Different decay exponents are found analytically for sequential dynamics, βseq=1−2q, and parallel dynamics, \beta_{\rm par}=1+\frac{\ln (1-q)}{\ln 2} . The distribution of player strengths becomes self-similar in the long time limit with an algebraic tail. Our theory successfully describes statistics of the US college basketball national championship tournament.


PACS

02.50.-r Probability theory, stochastic processes, and statistics

89.75.Da Systems obeying scaling laws

01.50.Rt Physics tournaments and contests

Subjects

Computational physics

Education and communication

Statistical physics and nonlinear systems

Dates

Issue 3 (February 2007)

Received 26 July 2006, in final form 8 December 2006

Published 24 January 2007



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