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Forecasting the Winner of a Tennis Match

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  • Klaassen, F.J.G.M.
  • Magnus, J.R.

    (Tilburg University, Center for Economic Research)

Abstract

We propose a method to forecast the winner of a tennis match, not only at the beginning of the match, but also (and in particular) during the match.The method is based on a fast and exible computer program TENNISPROB, and on a statistical analysis of a large data set from Wimbledon, both at match and at point level.

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Bibliographic Info

Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 2001-38.

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Date of creation: 2001
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Handle: RePEc:dgr:kubcen:200138

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Web page: http://center.uvt.nl

Related research

Keywords: forecasting; panel data; sport;

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References

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  1. 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.
  2. 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.
  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.
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Cited by:
  1. Easton, Stephen & Uylangco, Katherine, 2010. "Forecasting outcomes in tennis matches using within-match betting markets," International Journal of Forecasting, Elsevier, vol. 26(3), pages 564-575, July.
  2. McHale, Ian & Morton, Alex, 2011. "A Bradley-Terry type model for forecasting tennis match results," International Journal of Forecasting, Elsevier, vol. 27(2), pages 619-630, April.
  3. Groh, Christian & Moldovanu, Benny & Sela, Aner & Sunde, Uwe, 2003. "Optimal Seedings in Elimination Tournaments," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 140, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
  4. Klaassen, Franc J.G.M. & Magnus, Jan R., 2009. "The efficiency of top agents: An analysis through service strategy in tennis," Journal of Econometrics, Elsevier, vol. 148(1), pages 72-85, January.
  5. Matthew Amor & William Griffiths, 2003. "Modelling the Behaviour and Performance of Australian Football Tipsters," Department of Economics - Working Papers Series 871, The University of Melbourne.
  6. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.
  7. del Corral, Julio & Prieto-RodrĂ­guez, 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.
  8. Jennifer Brown & Dylan B. Minor, 2011. "Selecting the Best? Spillover and Shadows in Elimination Tournaments," NBER Working Papers 17639, National Bureau of Economic Research, Inc.

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