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The Effect of the COVID-19 Pandemic on Sports Betting Tipsters as Professional Bettors: A Qualitative Interview Study

Author

Listed:
  • Arif Yüce

    (Department of Sports Management, Eskisehir Technical University, Eskisehir 26555, Turkey)

  • Sevda Gökce Yüce

    (Department of Sports Management, Eskisehir Technical University, Eskisehir 26555, Turkey
    Department of Physical Education and Sport, Graduate School of Health Science, Anadolu University, Eskisehir 26470, Turkey)

  • Hakan Katırcı

    (Department of Sports Management, Eskisehir Technical University, Eskisehir 26555, Turkey)

  • Volkan Aydoğdu

    (Department of Physical Education and Sports Teaching, Bitlis Eren University, Bitlis 13000, Turkey)

  • Weisheng Chiu

    (Lee Shau Kee School of Business and Administration, Hong Kong Metropolitan University, Hong Kong, China)

  • Mark D. Griffiths

    (International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham NG1 4FQ, UK)

Abstract

Although the COVID-19 pandemic impacted individuals who bet on sports, sports betting tipsters (SBTs; i.e., individuals who provide professional tips on the outcome of sporting events) were arguably among the most affected groups. Consequently, the aim of the present study was to explore how SBTs in Turkey were affected by the COVID-19 pandemic, including alternate forms of gambling engagement (e.g., e-sports betting). Semi-structured interviews were conducted with 85 SBTs aged between 20 and 48 years. The data were analyzed using thematic analysis to identify common themes. Based on the qualitative analysis, four themes emerged: (i) the meaning and role of sports betting, (ii) the effects of the pandemic on life and sports betting, (iii) comparing e-sports betting vs. traditional sports betting, and (iv) possible sports betting behavior if the pandemic continues. SBTs reported experiencing psychological distress as a result of the COVID-19 pandemic’s cancellation of sporting events. More specifically, SBTs reported a sense of emptiness because of the lack of sports betting. Furthermore, SBT reported suffering a loss of income and turning to e-sports betting during the pandemic. However, the majority of SBTs did not find betting on e-sports as exciting as traditional betting but reported they would continue to engage in e-sports betting if traditional sports betting was not available. The findings of this study can contribute to a better understanding of the impact of SBTs on individuals and further provide practical implications for policymakers to promote a safe, sustainable, and long-term growth of the sports betting industry in Turkey.

Suggested Citation

  • Arif Yüce & Sevda Gökce Yüce & Hakan Katırcı & Volkan Aydoğdu & Weisheng Chiu & Mark D. Griffiths, 2023. "The Effect of the COVID-19 Pandemic on Sports Betting Tipsters as Professional Bettors: A Qualitative Interview Study," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7729-:d:1142167
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    References listed on IDEAS

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    1. Fischer, Kai & Haucap, Justus, 2020. "Betting market efficiency in the presence of unfamiliar shocks: The case of ghost games during the COVID-19 pandemic," DICE Discussion Papers 349, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    2. David M. Hayano, 1984. "The Professional Gambler: Fame, Fortune, and Failure," The ANNALS of the American Academy of Political and Social Science, , vol. 474(1), pages 157-167, July.
    3. Hibai Lopez-Gonzalez & Alicia Rius-Buitrago & Susana Jimenez-Murcia & Mark D. Griffiths, 2021. "The utilization and perception of sports betting experts (‘tipsters’) among sports bettors with gambling problems: a qualitative focus group interview study," International Gambling Studies, Taylor & Francis Journals, vol. 21(2), pages 238-254, May.
    4. Forrest, David & Goddard, John & Simmons, Robert, 2005. "Odds-setters as forecasters: The case of English football," International Journal of Forecasting, Elsevier, vol. 21(3), pages 551-564.
    5. Martin Spann & Bernd Skiera, 2009. "Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(1), pages 55-72.
    6. Brown, Alasdair & Reade, J. James, 2019. "The wisdom of amateur crowds: Evidence from an online community of sports tipsters," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1073-1081.
    7. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2018. "Forecasting With Social Media: Evidence From Tweets On Soccer Matches," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1748-1763, July.
    8. Deans, Emily G. & Thomas, Samantha L. & Daube, Mike & Derevensky, Jeffrey, 2016. "“I can sit on the beach and punt through my mobile phone”: The influence of physical and online environments on the gambling risk behaviours of young men," Social Science & Medicine, Elsevier, vol. 166(C), pages 110-119.
    9. Heather Wardle & Elena Petrovskaya & David Zendle, 2020. "Defining the esports bettor: evidence from an online panel survey of emerging adults," International Gambling Studies, Taylor & Francis Journals, vol. 20(3), pages 487-499, September.
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