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  5. Football is becoming more predictable; network analysis of 88 thousand matches in 11 major leagues
 
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Football is becoming more predictable; network analysis of 88 thousand matches in 11 major leagues

Alternative Title
Football is becoming boring; Network analysis of 88 thousands matches in 11 major leagues
Author(s)
Maimone, Victor Martins  
Yasseri, Taha  
Uri
http://hdl.handle.net/10197/12723
Date Issued
2021-12-15
Date Available
2022-01-13T12:09:02Z
Abstract
In recent years, excessive monetization of football and professionalism among the players have been argued to have affected the quality of the match in different ways. On the one hand, playing football has become a high-income profession and the players are highly motivated; on the other hand, stronger teams have higher incomes and therefore afford better players leading to an even stronger appearance in tournaments that can make the game more imbalanced and hence predictable. To quantify and document this observation, in this work, we take a minimalist network science approach to measure the predictability of football over 26 years in major European leagues. We show that over time, the games in major leagues have indeed become more predictable. We provide further support for this observation by showing that inequality between teams has increased and the home-field advantage has been vanishing ubiquitously. We do not include any direct analysis on the effects of monetization on football’s predictability or therefore, lack of excitement; however, we propose several hypotheses which could be tested in future analyses.
Other Sponsorship
Engineering and Physical Sciences Research Council
Type of Material
Journal Article
Publisher
The Royal Society
Journal
Royal Society Open Science
Volume
8
Issue
12
Copyright (Published Version)
2021 The Authors
Subjects

Football

Network

Perdition

Centrality

DOI
10.1098/rsos.210617
Language
English
Status of Item
Peer reviewed
ISSN
2054-5703
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by/3.0/ie/
File(s)
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1908.08991v1.pdf

Size

830.42 KB

Format

Adobe PDF

Checksum (MD5)

90fc2fa40af51c36fc017fe26e405f12

Owning collection
Sociology Research Collection
Mapped collections
Geary Institute Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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