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Searching for Momentum in the NFL

Author

Listed:
  • Fry Michael J.

    (University of Cincinnati)

  • Shukairy F. Alan

    (University of Cincinnati)

Abstract

We examine the question of whether or not momentum exists in an NFL football game. The concept of momentum is often cited by coaches, players, commentators and fans as a major factor in determining the outcome of the game and, consequently, in-game decision making. To examine the existence of momentum, we analyze particular game situations tied to what we consider to be “momentum-changing plays” (MCPs). These MCPs include fourth down conversions/stops, turnovers and scores allowed. We hypothesize that evidence of positive (negative) momentum would be characterized by increases (decreases) in yards gained, higher (lower) probability of converting a first down and greater (lesser) likelihood of scoring after a positive (negative) MCP. Our data set includes all plays from the 2002 to 2007 NFL seasons. We limit our analysis to game situations where the outcome of the game is still in doubt by removing plays that occur when a team is facing an insurmountable score differential. We use a pairwise matching comparison where we control for the game situations of home/away team, field position, time of game and score differential. We find little evidence for the existence of momentum in these events. Our results are in line with previous papers that find little empirical evidence of momentum in sports. While our findings cannot conclusively disprove the existence of momentum in the NFL, they further support the argument that momentum should not be a guiding factor for in-game decision making.

Suggested Citation

  • Fry Michael J. & Shukairy F. Alan, 2012. "Searching for Momentum in the NFL," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-20, March.
  • Handle: RePEc:bpj:jqsprt:v:8:y:2012:i:1:n:8
    DOI: 10.1515/1559-0410.1362
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    References listed on IDEAS

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    1. Arkes Jeremy, 2010. "Revisiting the Hot Hand Theory with Free Throw Data in a Multivariate Framework," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(1), pages 1-12, January.
    2. David Romer, 2006. "Do Firms Maximize? Evidence from Professional Football," Journal of Political Economy, University of Chicago Press, vol. 114(2), pages 340-365, April.
    3. Klaassen F. J G M & Magnus J. R., 2001. "Are Points in Tennis Independent and Identically Distributed? Evidence From a Dynamic Binary Panel Data Model," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 500-509, June.
    4. Arkes Jeremy & Martinez Jose, 2011. "Finally, Evidence for a Momentum Effect in the NBA," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(3), pages 1-16, July.
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    Cited by:

    1. Michael A. Roach & Mark F. Owens, 2024. "Updating Beliefs Based on Observed Performance: Evidence From NFL Head Coaches," Journal of Sports Economics, , vol. 25(3), pages 369-387, April.
    2. Morgulev, Elia & Azar, Ofer H. & Bar-Eli, Michael, 2019. "Does a “comeback” create momentum in overtime? Analysis of NBA tied games," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    3. Lock Dennis & Nettleton Dan, 2014. "Using random forests to estimate win probability before each play of an NFL game," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 197-205, June.

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