Extreme Score Distributions in Countable-Outcome Round-Robin Tournaments of Equally Strong Players

We consider a general class of round-robin tournament models of equally strong players. In these models, each of the $n$ players competes against every other player exactly once. For each match between two players, the outcome is a value from a countable subset of the unit interval, and the scores of the two players in a match sum to one. The final score of each player is defined as the sum of the scores obtained in matches against all other players. We study the distribution of extreme scores, including the maximum, second maximum, and lower-order extremes. Since the exact distribution is computationally intractable even for small values of $n$, we derive asymptotic results as the number of players $n$ tends to infinity, including limiting distributions, and rates of convergence.

Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2026-01-22
DOI
https://doi.org/10.13016/m2nltf-ukgz
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
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article

Extreme Score Distributions in Countable-Outcome Round-Robin Tournaments of Equally Strong Players

Maryland Shared Open Access Repository (USMAI Consortium)
Sports Analytics and Performance
article

Extreme Score Distributions in Countable-Outcome Round-Robin Tournaments of Equally Strong Players

article en

Abstract

We consider a general class of round-robin tournament models of equally strong players. In these models, each of the $n$ players competes against every other player exactly once. For each match between two players, the outcome is a value from a countable subset of the unit interval, and the scores of the two players in a match sum to one. The final score of each player is defined as the sum of the scores obtained in matches against all other players. We study the distribution of extreme scores, including the maximum, second maximum, and lower-order extremes. Since the exact distribution is computationally intractable even for small values of $n$, we derive asymptotic results as the number of players $n$ tends to infinity, including limiting distributions, and rates of convergence.

Maryland Shared Open Access Repository (USMAI Consortium)
Openalex Percentile: Top 61%
Sports Analytics and Performance
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Extreme Score Distributions in Countable-Outcome Round-Robin Tournaments of Equally Strong Players · Maryland Shared Open Access Repository (USMAI Consortium) (2026) | TGRS Research Map | TGRS