Forecasting sports tournaments by ratings of (prob)abilities: A comparison for the EUROÂ 2008
Different methods for assessing the abilities of participants in a sports tournament, and their corresponding winning probabilities for the tournament, are embedded in a common framework and their predictive performances compared. First, ratings of abilities (such as the Elo rating) are complemented with a simulation approach which yields winning probabilities for the full tournament. Second, tournament winning probabilities are extracted from bookmakers' odds using a consensus model, and the underlying abilities of the competitors are then derived by an "inverse" application of the tournament simulation. Both techniques are employed for forecasting the results of the European football championshipÂ 2008 (UEFAÂ EUROÂ 2008), for which the consensus model based on bookmakers' odds outperforms methods based on both the Elo rating and the FIFA/Coca Cola World rating. Moreover, the bookmaker consensus model correctly predicts that the final will be played by the teams from Germany and Spain (with a probability of about 20.5%), while showing that both finalists profit from being drawn in groups with relatively weak competitors.
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- 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.
- 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.
- Kolb, R. A. & Stekler, H. O., 1996. "Is there a consensus among financial forecasters?," International Journal of Forecasting, Elsevier, vol. 12(4), pages 455-464, December.
- ChiUng Song & Bryan L. Boulier & Herman O. Stekler, 2008.
"Measuring Consensus in Binary Forecasts: NFL Game Predictions,"
2008-006, The George Washington University, Department of Economics, Research Program on Forecasting.
- Song, ChiUng & Boulier, Bryan L. & Stekler, Herman O., 2009. "Measuring consensus in binary forecasts: NFL game predictions," International Journal of Forecasting, Elsevier, vol. 25(1), pages 182-191.
- Joe, Harry, 1991. "Rating systems based on paired comparison models," Statistics & Probability Letters, Elsevier, vol. 11(4), pages 343-347, April.
- Pope, Peter F & Peel, David A, 1989. "Information, Prices and Efficiency in a Fixed-Odds Betting Market," Economica, London School of Economics and Political Science, vol. 56(223), pages 323-41, August.
- Raymond Stefani, 1997. "Survey of the major world sports rating systems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(6), pages 635-646.
- 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.
- Alex Edmans & Diego García & Øyvind Norli, 2007. "Sports Sentiment and Stock Returns," Journal of Finance, American Finance Association, vol. 62(4), pages 1967-1998, 08.
- Nikolaos Vlastakis & George Dotsis & Raphael N. Markellos, 2009. "How efficient is the European football betting market? Evidence from arbitrage and trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 426-444.
- Schnader, M. H. & Stekler, H. O., 1991. "Do consensus forecasts exist?," International Journal of Forecasting, Elsevier, vol. 7(2), pages 165-170, August.
- Lebovic, James H. & Sigelman, Lee, 2001. "The forecasting accuracy and determinants of football rankings," International Journal of Forecasting, Elsevier, vol. 17(1), pages 105-120.
- 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.
- Boulier, Bryan L. & Stekler, H. O., 2003. "Predicting the outcomes of National Football League games," International Journal of Forecasting, Elsevier, vol. 19(2), pages 257-270.
- Stefani Ray & Pollard Richard, 2007. "Football Rating Systems for Top-Level Competition: A Critical Survey," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 3(3), pages 1-22, July.
- 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.
- Zarnowitz, Victor & Lambros, Louis A, 1987. "Consensus and Uncertainty in Economic Prediction," Journal of Political Economy, University of Chicago Press, vol. 95(3), pages 591-621, June.
- 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.
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