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A statistical study of racism in English football

  • Jeffrey Chu
  • , Saralees Nadarajah*
  • , Emmanuel Afuecheta
  • , Stephen Chan
  • , Ying Xu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

The English Premier League is often quoted as being the 'best football league in the world', a mix of British born and international stars showing off their skills almost every week. With around 25 % of Premier League players being from ethnic minority backgrounds, it is arguably one of the world's most inclusive sports leagues-but is it really as fair as it seems? This analysis looks at the 2011-2012 Premier League season, to investigate whether there existed evidence of forms of racial discrimination against Black, non-White and non-European players during this period. We analyze player data collected from two hundred and ninety players and seventeen teams using logistic regression, to determine how being a Black, non-White or non-European player depends on variables like total number of appearances, number of fouls, number of yellow cards, number of red cards, number of cards awarded by English referees, number of cards awarded by non-English referees, total number of goals scored by the team, and total number of goals scored by the player. Our results show that there does seem to exist some discrepancy between the treatment of non-White and non-European and Black players compared to the sample of White players.

Original languageEnglish
Pages (from-to)2915-2937
Number of pages23
JournalQuality and Quantity
Volume48
Issue number5
DOIs
StatePublished - Sep 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • Football
  • Logistic regression
  • Racism

ASJC Scopus subject areas

  • Statistics and Probability
  • General Social Sciences

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