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Regression models for forecasting goals and match results in association football

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  • Goddard, John

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Bibliographic Info

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

Volume (Year): 21 (2005)
Issue (Month): 2 ()
Pages: 331-340

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Handle: RePEc:eee:intfor:v:21:y:2005:i:2:p:331-340

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

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References

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  1. 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.
  2. Ioannis Asimakopoulos & John Goddard, 2004. "Forecasting football results and the efficiency of fixed-odds betting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(1), pages 51-66.
  3. P. Glewwe, 1997. "A test of the normality assumption in ordered probit model," Econometric Reviews, Taylor and Francis Journals, vol. 16(1), pages 1-19.
  4. Audas, Rick & Dobson, Stephen & Goddard, John, 2002. "The impact of managerial change on team performance in professional sports," Journal of Economics and Business, Elsevier, vol. 54(6), pages 633-650.
  5. Dixon, Mark J. & Pope, Peter F., 2004. "The value of statistical forecasts in the UK association football betting market," International Journal of Forecasting, Elsevier, vol. 20(4), pages 697-711.
  6. Tim Kuypers, 2000. "Information and efficiency: an empirical study of a fixed odds betting market," Applied Economics, Taylor and Francis Journals, vol. 32(11), pages 1353-1363.
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Citations

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Cited by:
  1. Oberhofer, Harald & Philippovich, Tassilo & Winner, Hannes, 2009. "Distance matters in away games: Evidence from the German Football League," Working Papers in Economics and Finance 2009-1, University of Salzburg.
  2. 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.
  3. 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.
  4. Stekler, H.O. & Sendor, David & Verlander, Richard, 2010. "Issues in sports forecasting," International Journal of Forecasting, Elsevier, vol. 26(3), pages 606-621, July.
  5. 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.
  6. Chumacero, Romulo, 2007. "Altitude or hot air?," MPRA Paper 15178, University Library of Munich, Germany, revised Dec 2008.
  7. Siem Jan Koopman & Rutger Lit, 2012. "A Dynamic Bivariate Poisson Model for Analysing and Forecasting Match Results in the English Premier League," Tinbergen Institute Discussion Papers 12-099/III, Tinbergen Institute.
  8. 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.
  9. Agnes Bäker & Mario Mechtel & Karin Vetter, 2012. "Beating thy Neighbor: Derby Effects in German Professional Soccer," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 232(3), pages 224-246, May.
  10. 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.
  11. Goossens, Dries & Beliën, Jeroen & Spieksma, Frederik, 2008. "Comparing league formats with respect to match importance in Belgian football," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/209046, Katholieke Universiteit Leuven.

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