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Home Advantage in the NBA as a Game-Long Process

Author

Listed:
  • Jones Marshall B

    (Penn State University)

Abstract

In papers on basketball, it is standard practice to treat the home-court advantage in terms of percentages or point differences at the end of the game. This practice leaves out of account how the advantage develops during the game, when it accumulates most strongly, its course and the in-course dynamics. This study analyzes all games played in two seasons of the NBA by quarters and overtime periods. The main result is that home advantage in the NBA is strongly front-loaded. In both years studied the home team accumulated two thirds of the home advantage it had at the end of the game in the first quarter. It accumulated less of an advantage in the second and third quarters, and still less in the fourth quarter. Further, the home team does not on average lengthen its lead in quarters which it enters ahead, but gains strongly in any quarter which it enters behind. The paper concludes with a discussion of theoretical issues raised by these results and next steps in research.

Suggested Citation

  • Jones Marshall B, 2007. "Home Advantage in the NBA as a Game-Long Process," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 3(4), pages 1-16, October.
    • Handle: RePEc:bpj:jqsprt:v:3:y:2007:i:4:n:2
    DOI: 10.2202/1559-0410.1081
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    Citations

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    Cited by:

    1. Ferraresi Massimiliano & Gucciardi Gianluca, 2023. "Team performance and the perception of being observed: Experimental evidence from top-level professional football," German Economic Review, De Gruyter, vol. 24(1), pages 1-31, February.
    2. Christoph Bühren & Stefan Krabel, 2015. "Individual Performance after Success and Failure - A Natural Experiment," MAGKS Papers on Economics 201505, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    3. Jones Marshall B, 2011. "Responses to Scoring or Conceding the First Goal in the NHL," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(3), pages 1-13, July.
    4. Christopher Magee & Amy Wolaver, 2023. "Crowds and the Timing of Goals and Referee Decisions1," Journal of Sports Economics, , vol. 24(6), pages 801-828, August.
    5. Jones Marshall B, 2008. "A Note on Team-Specific Home Advantage in the NBA," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(3), pages 1-15, July.
    6. Federico Fioravanti & Fernando Delbianco & Fernando Tohm'e, 2023. "Visitors Out! The Absence of Away Team Supporters as a Source of Home Advantage in Football," Papers 2308.06279, arXiv.org, revised Nov 2023.
    7. Pledger Megan J & Morton R. Hugh, 2010. "Home Advantage in Three National Netball Competitions: Australia (1997-2007), New Zealand (1998-2007) and England (2005/06-2008/09)," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(3), pages 1-18, July.
    8. Ryall Richard & Bedford Anthony, 2011. "The Intra-Match Home Advantage in Australian Rules Football," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(2), pages 1-14, May.
    9. Trandel Gregory A & Maxcy Joel G, 2011. "Adjusting Winning-Percentage Standard Deviations and a Measure of Competitive Balance for Home Advantage," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(1), pages 1-17, January.
    10. Massimiliano Ferraresi & Gianluca Gucciardi, 2020. "Team performance and audience: experimental evidence from the football sector," Working papers 94, Società Italiana di Economia Pubblica.
    11. Christian Deutscher, 2011. "Productivity and New Audiences: Empirical Evidence From Professional Basketball," Journal of Sports Economics, , vol. 12(3), pages 391-403, June.
    12. Delbianco Fernando & Fioravanti Federico & Tohmé Fernando, 2023. "Home advantage and crowd attendance: evidence from rugby during the Covid 19 pandemic," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(1), pages 15-26, March.
    13. Manner Hans, 2016. "Modeling and forecasting the outcomes of NBA basketball games," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(1), pages 31-41, March.
    14. Austin R Harris & Paul J Roebber, 2019. "NBA team home advantage: Identifying key factors using an artificial neural network," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-9, July.
    15. Federico Fioravanti & Fernando Delbianco & Fernando Tohmé, 2023. "The relative importance of ability, luck and motivation in team sports: a Bayesian model of performance in the English Rugby Premiership," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 715-731, September.
    16. Christopher J. Boudreaux & Shane D. Sanders & Bhavneet Walia, 2017. "A Natural Experiment to Determine the Crowd Effect Upon Home Court Advantage," Journal of Sports Economics, , vol. 18(7), pages 737-749, October.

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