Playing on artificial turf may be an advantage for Norwegian soccer teams
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DOI: 10.1515/jqas-2014-0046
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References listed on IDEAS
- Dobson,Stephen & Goddard,John, 2011. "The Economics of Football," Cambridge Books, Cambridge University Press, number 9780521517140, January.
- V. Barnett & S. Hilditch, 1993. "The Effect of an Artificial Pitch Surface on Home Team Performance in Football (Soccer)," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 156(1), pages 39-50, January.
- Lars Magnus Hvattum, 2013. "Analyzing Information Efficiency In The Betting Market For Association Football League Winners," Journal of Prediction Markets, University of Buckingham Press, vol. 7(2), pages 55-70.
- Constantinou Anthony Costa & Fenton Norman Elliott, 2013. "Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(1), pages 37-50, March.
- Goddard, John, 2005. "Regression models for forecasting goals and match results in association football," International Journal of Forecasting, Elsevier, vol. 21(2), pages 331-340.
- 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.
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Cited by:
- Jan C. Ours, 2019. "A Note on Artificial Pitches and Home Advantage in Dutch Professional Football," De Economist, Springer, vol. 167(1), pages 89-103, March.
- van Ours, Jan C., 2017. "Artificial Pitches and Unfair Home Advantage in Professional Football," CEPR Discussion Papers 12341, C.E.P.R. Discussion Papers.
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Keywords
association football; forecasting; playing surface; regression; simulation;All these keywords.
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