Managing excellence in USA Major League Soccer: an analysis of the relationship between player performance and salary

Sangkwon Lee, John Harris

    Research output: Contribution to journalArticle

    Abstract

    The purposes of this study are to investigate the factors that could affect player salaries in Major League Soccer (MLS) and to look at the relationship between player salaries, performances and the quest for success. This study deals with three main research questions: (1) What are factors that affect player salaries? (2) What are factors that influence players’ performance? (3) How are player salaries distributed among players? Using four different regression analysis methods, the number of goals, number of assists and minutes of play variables are confirmed as key determinants of player salaries.
    Original languageEnglish
    Pages (from-to)106-123
    Number of pages8
    JournalManaging Leisure
    Volume17
    Issue number2/3
    DOIs
    Publication statusPublished - 2012

    Fingerprint

    regression analysis
    method
    analysis
    Soccer
    Salary
    Excellence
    Factors

    Keywords

    • football management
    • player performance
    • player salaries

    Cite this

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    Managing excellence in USA Major League Soccer: an analysis of the relationship between player performance and salary. / Lee, Sangkwon; Harris, John.

    In: Managing Leisure, Vol. 17, No. 2/3, 2012, p. 106-123.

    Research output: Contribution to journalArticle

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    AB - The purposes of this study are to investigate the factors that could affect player salaries in Major League Soccer (MLS) and to look at the relationship between player salaries, performances and the quest for success. This study deals with three main research questions: (1) What are factors that affect player salaries? (2) What are factors that influence players’ performance? (3) How are player salaries distributed among players? Using four different regression analysis methods, the number of goals, number of assists and minutes of play variables are confirmed as key determinants of player salaries.

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    KW - player performance

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