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Predicting the outcomes of National Football League games

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  • Boulier, Bryan L.
  • Stekler, H. O.

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File URL: http://www.sciencedirect.com/science/article/B6V92-478HYCY-1/2/9fb6105e0a580752b1901c96466da341
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Bibliographic Info

Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 19 (2003)
Issue (Month): 2 ()
Pages: 257-270

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Handle: RePEc:eee:intfor:v:19:y:2003:i:2:p:257-270

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Web page: http://www.elsevier.com/locate/ijforecast

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References

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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  1. Raymond D. Sauer, 1998. "The Economics of Wagering Markets," Journal of Economic Literature, American Economic Association, vol. 36(4), pages 2021-2064, December.
  2. John M. Gandar & William H. Dare & Craig R. Brown & Richard A. Zuber, 1998. "Informed Traders and Price Variations in the Betting Market for Professional Basketball Games," Journal of Finance, American Finance Association, vol. 53(1), pages 385-401, 02.
  3. Vergin, Roger C. & Sosik, John J., 1999. "No place like home: an examination of the home field advantage in gambling strategies in NFL football," Journal of Economics and Business, Elsevier, vol. 51(1), pages 21-31, January.
  4. Forrest, David & Simmons, Robert, 2000. "Forecasting sport: the behaviour and performance of football tipsters," International Journal of Forecasting, Elsevier, vol. 16(3), pages 317-331.
  5. Boulier, Bryan L. & Stekler, H. O., 1999. "Are sports seedings good predictors?: an evaluation," International Journal of Forecasting, Elsevier, vol. 15(1), pages 83-91, February.
  6. Avery, Christopher & Chevalier, Judith, 1999. "Identifying Investor Sentiment from Price Paths: The Case of Football Betting," The Journal of Business, University of Chicago Press, vol. 72(4), pages 493-521, October.
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Citations

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Cited by:
  1. Hvattum, Lars Magnus & Arntzen, Halvard, 2010. "Using ELO ratings for match result prediction in association football," International Journal of Forecasting, Elsevier, vol. 26(3), pages 460-470, July.
  2. Song, ChiUng & Boulier, Bryan L. & Stekler, Herman O., 2007. "The comparative accuracy of judgmental and model forecasts of American football games," International Journal of Forecasting, Elsevier, vol. 23(3), pages 405-413.
  3. Herman O. Stekler & David Sendor & Richard Verlander, 2009. "Issues in Sports Forecasting," Working Papers 2009-002, The George Washington University, Department of Economics, Research Program on Forecasting.
  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. Matthew Gentzkow & Jesse M. Shapiro, 2006. "Media Bias and Reputation," Journal of Political Economy, University of Chicago Press, vol. 114(2), pages 280-316, April.
  6. Herman O. Stekler, 2007. "Sports Forecasting," Working Papers 2007-001, The George Washington University, Department of Economics, Research Program on Forecasting, revised Jan 2007.
  7. Alessandro Innocenti & Tommaso Nannicini & Roberto Ricciuti, 2012. "The Importance of Betting Early," Labsi Experimental Economics Laboratory University of Siena 037, University of Siena.
  8. del Corral, Julio & Prieto-Rodríguez, Juan, 2010. "Are differences in ranks good predictors for Grand Slam tennis matches?," International Journal of Forecasting, Elsevier, vol. 26(3), pages 551-563, July.
  9. Barajas, Angel, 2004. "Modelo de valoración de clubes de fútbol basado en los factores clave de su negocio
    [Valuation model for football clubs based on the key factors of their business]
    ," MPRA Paper 13158, University Library of Munich, Germany.
  10. Baker, Rose D. & McHale, Ian G., 2013. "Forecasting exact scores in National Football League games," International Journal of Forecasting, Elsevier, vol. 29(1), pages 122-130.
  11. Forrest, David & Sanz, Ismael & Tena, J.D., 2010. "Forecasting national team medal totals at the Summer Olympic Games," International Journal of Forecasting, Elsevier, vol. 26(3), pages 576-588, July.
  12. Andersson, Patric & Ekman, Mattias & Edman, Jan, 2003. "Forecasting the fast and frugal way: A study of performance and information-processing strategies of experts and non-experts when predicting the World Cup 2002 in soccer," Working Paper Series in Business Administration 2003:9, Stockholm School of Economics.
  13. Scheibehenne, Benjamin & Broder, Arndt, 2007. "Predicting Wimbledon 2005 tennis results by mere player name recognition," International Journal of Forecasting, Elsevier, vol. 23(3), pages 415-426.
  14. Bryan Boulier & H. O. Stekler & Sarah Amundson, 2006. "Testing the efficiency of the National Football League betting market," Applied Economics, Taylor & Francis Journals, vol. 38(3), pages 279-284.
  15. Niven Winchester & Raymond T. Stefani, 2009. "An innovative approach to National Football League standings using optimal bonus points," Working Papers 0905, University of Otago, Department of Economics, revised Jun 2009.
  16. Andersson, Patric & Edman, Jan & Ekman, Mattias, 2005. "Predicting the World Cup 2002 in soccer: Performance and confidence of experts and non-experts," International Journal of Forecasting, Elsevier, vol. 21(3), pages 565-576.
  17. Franck, Egon & Verbeek, Erwin & Nüesch, Stephan, 2010. "Prediction accuracy of different market structures -- bookmakers versus a betting exchange," International Journal of Forecasting, Elsevier, vol. 26(3), pages 448-459, July.
  18. Barajas, Angel & Fernández-Jardón, Carlos & Crolley, Liz, 2005. "Does sports performance influence revenues and economic results in Spanish football?," MPRA Paper 3234, University Library of Munich, Germany.
  19. Goldstein, Daniel G. & Gigerenzer, Gerd, 2009. "Fast and frugal forecasting," International Journal of Forecasting, Elsevier, vol. 25(4), pages 760-772, October.

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