A common-opponent stochastic model for predicting the outcome of professional tennis matches

DOI10.1016/J.CAMWA.2012.03.005zbMath1268.91041OpenAlexW2059420114MaRDI QIDQ356422

Agnieszka M. Madurska, William J. Knottenbelt, Demetris Spanias

Publication date: 25 July 2013

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2012.03.005

zbMATH Keywords

sportstochastic modellingtennis

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Applications of game theory (91A80) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Stochastic games, stochastic differential games (91A15)

Related Items (4)

To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from virtual globes and its rate of diffusion in a financial market ⋮ 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

Uses Software

• Excel

Cites Work

• Random walks in tennis
• Forecasting the winner of a tennis match.
• Probability of Winning at Tennis I. Theory and Data
• Combining player statistics to predict outcomes of tennis matches

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