Combining player statistics to predict outcomes of tennis matches

DOI10.1093/IMAMAN/DPI001zbMath1078.91516OpenAlexW2038309815MaRDI QIDQ5315714

Stephen R. Clarke, Tristan Barnett

Publication date: 9 September 2005

Published in: IMA Journal of Management Mathematics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/154f65afc4f1f140d54af756af72d3fb384c6182

zbMATH Keywords

gamblingExceltennisscoring systemsAustralian Open

Mathematics Subject Classification ID

Probabilistic games; gambling (91A60)

Related Items (5)

A common-opponent stochastic model for predicting the outcome of professional tennis matches ⋮ A new model for predicting the winner in tennis based on the eigenvector centrality ⋮ Weighted Elo rating for tennis match predictions ⋮ A combinatorial approach in predicting the outcome of tennis matches ⋮ Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis

Uses Software

• Excel

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