Strongest team favoritism in European national football: Myth or reality?
Journal
International Journal of Sport Finance
ISSN
1558-6235
ISSN-Digital
1930-076X
Type
journal article
Date Issued
2020-07-09
Author(s)
Abstract
Are the financially and institutionally strongest clubs capable of systematically reaching the top positions in the European national football leagues treated differently in terms of awarded sanctions because of the external off the pitch pressure they can put on match officials? This study helps shed some light on this controversial question fiercely debated among fans and sports journalists and extends our knowledge of how football match officials may be unconsciously influenced by external (social) forces. Except for France where the evidence is weak, data analysis of the top five European leagues for the seasons from 2011-2012 to 2017-2018
provides empirical evidence supporting the existence of a referees' off the pitch strongest team bias.
In fact, in England referees award significantly more yellow cards and total booking points (an aggregate measure of yellow and red cards) to the opponents' players, and in Italy, Germany and Spain significantly fewer yellow cards and total booking points are given to the top teams' players. The referees' strongest team bias comes on top of the referees' home bias discussed in the previous literature and displays a non-negligible size that can reach approximately the same size of the referees' home bias in some cases.
provides empirical evidence supporting the existence of a referees' off the pitch strongest team bias.
In fact, in England referees award significantly more yellow cards and total booking points (an aggregate measure of yellow and red cards) to the opponents' players, and in Italy, Germany and Spain significantly fewer yellow cards and total booking points are given to the top teams' players. The referees' strongest team bias comes on top of the referees' home bias discussed in the previous literature and displays a non-negligible size that can reach approximately the same size of the referees' home bias in some cases.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SEPS - Quantitative Economic Methods
Refereed
Yes
Number
15
Start page
137
End page
152
Subject(s)
Contact Email Address
francesco.audrino@unisg.ch
Eprints ID
260643