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Forecasting the winner of a tennis match

  • Klaassen, Franc J. G. M.
  • Magnus, Jan R.

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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File URL: http://www.sciencedirect.com/science/article/B6VCT-47P1V7K-R/2/be51351df68060b9c892aeb93cfaa2a4
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Article provided by Elsevier in its journal European Journal of Operational Research.

Volume (Year): 148 (2003)
Issue (Month): 2 (July)
Pages: 257-267

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Handle: RePEc:eee:ejores:v:148:y:2003:i:2:p:257-267
Contact details of provider: Web page: http://www.elsevier.com/locate/eor

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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. 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.
  3. 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.
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