2010
DOI: 10.1111/j.1467-9574.2010.00471.x
|View full text |Cite
|
Sign up to set email alerts
|

A numerical study of tournament structure and seeding policy for the soccer World Cup Finals

Abstract: Tournament outcome uncertainty depends on: the design of the tournament; and the relative strengths of the competitors -the competitive balance. A tournament design comprises the arrangement of the individual matches, which we call the tournament structure, the seeding policy and the progression rules. In this paper, we investigate the effect of seeding policy for various tournament structures, while taking account of competitive balance. Our methodology uses tournament outcome uncertainty to consider the effe… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
32
0

Year Published

2013
2013
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 41 publications
(37 citation statements)
references
References 20 publications
0
32
0
Order By: Relevance
“…Why should the number 2 seed be given this advantage which is denied to other weaker players? The reason is clearly to ensure high CI, especially at the latter stages of a tournament, even though it is at the expense of fairness, as we noted earlier following the analysis of Scarf and Yusof (2011). Baumann et al (2010) examine the issue of seeding in relation to the NCAA Basketball tournament between US Colleges popularly known as "March Madness", and they show that standard systems of seeding do not always maximise CI.…”
Section: Seedingmentioning
confidence: 99%
See 1 more Smart Citation
“…Why should the number 2 seed be given this advantage which is denied to other weaker players? The reason is clearly to ensure high CI, especially at the latter stages of a tournament, even though it is at the expense of fairness, as we noted earlier following the analysis of Scarf and Yusof (2011). Baumann et al (2010) examine the issue of seeding in relation to the NCAA Basketball tournament between US Colleges popularly known as "March Madness", and they show that standard systems of seeding do not always maximise CI.…”
Section: Seedingmentioning
confidence: 99%
“…Scarf and Yusof (2011) used statistical analysis and simulation to gauge the effect of seeding the strongest competitors, using the FIFA World Cup to illustrate the analysis. They concluded that seeding was inherently unfair in that it always favoured the strongest competitors (since they are prevented from meeting other strong opponents early in the tournament), but that there was a compensatory increase in competitive balance (i.e.…”
Section: Organisation Of Teams Into Divisions/groupsmentioning
confidence: 99%
“…First, each pair of teams plays up to seven matches to determine which team moves to the next round; this is much more than one or two matches typically used in soccer. Second, teams are reseeded for each round; this type of seeding was shown to help the strongest teams the most by Scarf and Yusof (2011). Third, higher-seeded teams play any decisive match in the series on their home ice.…”
Section: Extraliga Overviewmentioning
confidence: 99%
“…The round-robin design (which would be extremely impractical in reality due to a large number of matches) maximized the probability of the best team winning the tournament, while the unseeded 2 leg design maximized the uncertainty of outcome. A similar approach was used in Scarf and Yusof (2011) to show that seeding favors stronger teams and thus reduces uncertainty of outcome in FIFA World Cup finals. This paper uses an approach similar to Scarf et al (2008) to analyze the tournament design of the top Czech ice-hockey competition "Extraliga".…”
Section: Introductionmentioning
confidence: 99%
“…Appleton, 1995;McGarry and Schutz, 1997;Scarf et al, 2009;Scarf and Yusof, 2011;Koning and McHale, 2012). For this purpose prediction models are used to simulate the expected outcomes of games between two teams.…”
Section: Theoretical Predictionsmentioning
confidence: 99%