Forecasting the Winner of a Tennis Match

Citations

Cited by:

1. Netanel Nissim & Aner Sela, 2020. "The Third Place Game," Journal of Sports Economics, , vol. 21(1), pages 64-86, January.
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2. Blackburn McKinley L., 2013. "Ranking the performance of tennis players: an application to women’s professional tennis," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(4), pages 367-378, December.
3. Kovalchik Stephanie Ann, 2016. "Searching for the GOAT of tennis win prediction," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(3), pages 127-138, September.
4. Uwe Sunde, 2009. "Heterogeneity and performance in tournaments: a test for incentive effects using professional tennis data," Applied Economics, Taylor & Francis Journals, vol. 41(25), pages 3199-3208.
   • Sunde, Uwe, 2009. "Heterogeneity and performance in tournaments: A test for incentive effects using professional tennis data," Munich Reprints in Economics 19585, University of Munich, Department of Economics.
5. Alberto Arcagni & Vincenzo Candila & Rosanna Grassi, 2023. "A new model for predicting the winner in tennis based on the eigenvector centrality," Annals of Operations Research, Springer, vol. 325(1), pages 615-632, June.
6. Julio del Corral, 2009. "Competitive Balance and Match Uncertainty in Grand-Slam Tennis," Journal of Sports Economics, , vol. 10(6), pages 563-581, December.
7. Silvia Montagna & Vanessa Orani & Raffaele Argiento, 2021. "Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 573-604, June.
8. Vincenzo Candila & Lucio Palazzo, 2020. "Neural Networks and Betting Strategies for Tennis," Risks, MDPI, vol. 8(3), pages 1-19, June.
9. J. James Reade & Carl Singleton & Alasdair Brown, 2021. "Evaluating strange forecasts: The curious case of football match scorelines," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(2), pages 261-285, May.
   • J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics Discussion Papers em-dp2019-18, Department of Economics, University of Reading, revised 01 Aug 2020.
10. Christian Groh & Benny Moldovanu & Aner Sela & Uwe Sunde, 2012. "Optimal seedings in elimination tournaments," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 49(1), pages 59-80, January.
    • 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.
    • Groh, Christian & Moldovanu, Benny & Sela, Aner & Sunde, Uwe, 2012. "Optimal seedings in elimination tournaments," Munich Reprints in Economics 20441, University of Munich, Department of Economics.
11. Hwang, Joon Ho & Kim, Min-Su, 2015. "Misunderstanding of the binomial distribution, market inefficiency, and learning behavior: Evidence from an exotic sports betting market," European Journal of Operational Research, Elsevier, vol. 243(1), pages 333-344.
12. Jennifer Brown & Dylan B. Minor, 2014. "Selecting the Best? Spillover and Shadows in Elimination Tournaments," Management Science, INFORMS, vol. 60(12), pages 3087-3102, December.
    • 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.
13. 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.
14. Brown, Alasdair & Reade, J. James, 2019. "The wisdom of amateur crowds: Evidence from an online community of sports tipsters," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1073-1081.
15. Anthony Glass & Karligash Kenjegalieva & Jason Taylor, 2015. "Game, set and match: evaluating the efficiency of male professional tennis players," Journal of Productivity Analysis, Springer, vol. 43(2), pages 119-131, April.
16. 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.
17. Angelini, Giovanni & Candila, Vincenzo & De Angelis, Luca, 2022. "Weighted Elo rating for tennis match predictions," European Journal of Operational Research, Elsevier, vol. 297(1), pages 120-132.
18. 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.
19. Chan Timothy C.Y. & Singal Raghav, 2018. "A Bayesian regression approach to handicapping tennis players based on a rating system," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 14(3), pages 131-141, September.
20. 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.
21. Thierry Lallemand & Robert Plasman & François Rycx, 2008. "Women and Competition in Elimination Tournaments," Journal of Sports Economics, , vol. 9(1), pages 3-19, February.
22. 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.
23. Singh, Aaditya & Scarf, Phil & Baker, Rose, 2023. "A unified theory for bivariate scores in possessive ball-sports: The case of handball," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1099-1112.
24. 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.
25. Dave Cliff, 2021. "BBE: Simulating the Microstructural Dynamics of an In-Play Betting Exchange via Agent-Based Modelling," Papers 2105.08310, arXiv.org.
26. M B Wright, 2009. "50 years of OR in sport," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 161-168, May.
27. Lorig, Matthew & Zhou, Zhou & Zou, Bin, 2021. "Optimal bookmaking," European Journal of Operational Research, Elsevier, vol. 295(2), pages 560-574.
28. Kovalchik, Stephanie & Reid, Machar, 2019. "A calibration method with dynamic updates for within-match forecasting of wins in tennis," International Journal of Forecasting, Elsevier, vol. 35(2), pages 756-766.
29. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.
30. Espitia-Escuer, Manuel A. & García-Cebrián, Lucía Isabel, 2012. "Diversificación en la configuración de los equipos de la primera división española de fútbol/Diversification in the Team Configuration of the Spanish Football First Division," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 30, pages 527-544, Agosto.