• Login
    View Item 
    •   SU+ Home
    • Research and Publications
    • Strathmore Institute of Mathematical Sciences (SIMs)
    • SIMs Projects, Theses and Dissertations
    • BBSE Research Projects
    • BBSE Research Projects (2021)
    • View Item
    •   SU+ Home
    • Research and Publications
    • Strathmore Institute of Mathematical Sciences (SIMs)
    • SIMs Projects, Theses and Dissertations
    • BBSE Research Projects
    • BBSE Research Projects (2021)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Modelling home advantage in soccer without fans

    Thumbnail
    View/Open
    Modelling soccer fans.pdf (8.462Mb)
    Date
    2021
    Author
    Owoko, Trevor
    Metadata
    Show full item record
    Abstract
    The occmTence of COVID-19 in 2020, midway through the 2019/2020 soccer season brought rise to the stop and re-emergence of the English Football League. The re-emergence brought with it a new aspect in that football matches were being played but 'behind closed doors ' in that no fans were allowed into the venue- because of the COVID-19 safety restrictions, the absence of fans in the stands to suppOii their teams provided a niche for the study below. The purpose of this study is to investigate the effect between crowd presence and its relationship to Home Advantage, comparison between games when fans were present (pre-covid) and matches without t~1ns (post-covid). The study was guided by research objectives that were seeking to identify the relationship between crowd presence and home advantage whether if present and significant towards the outcome of a soccer match and the et!ect of yellow cards and reel cards on the outcome of a game. Tl1e study population consisted of 6 leagues: German Bundesliga, the Spanish Ia Liga Santander, the Italian Serie A, the French Ligue, the English Premier League and the English Championship. The quantitative secondary data was collected from a published website on shots, yellow cards, red cards and attendance. Regression analysis is used in data analysis with the application of R-studio . The study established that football matches played post-COVID period show that fan presence does not have a significant effect on the outcome of a game as previously thought. Yellow and reel cards are seen to hold greater impact on the home games without fan presence. Based on the findings of the study referees need more help and suppOii instead of admonishment in their decision making. What is deemed to be fairer by the crowd should not be treated with such great impmiance, to a point where trained referees ' decisions are not supported. There is also need for further analysis with more data as the study was clone with limited data and hence there might be room for further learning. The phenomena of home advantage is seen to continue eluding researchers with its exact causality not yet identified as observed in this p2per that it is not crowd presence.
    URI
    http://hdl.handle.net/11071/12576
    Collections
    • BBSE Research Projects (2021) [38]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of SU+Communities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV