A new model for predicting the winner in tennis based on the eigenvector centrality

DOI10.1007/S10479-022-04594-7MaRDI QIDQ6170909

Alberto Arcagni, Vincenzo Candila, Rosanna Grassi

Publication date: 13 July 2023

Published in: Annals of Operations Research (Search for Journal in Brave)

zbMATH Keywords

networkforecastingeigenvector centralitytennis

Mathematics Subject Classification ID

Parametric inference (62Fxx) Game theory (91Axx) Applications of statistics (62Pxx)

Cites Work

• Weighted Elo rating for tennis match predictions
• A common-opponent stochastic model for predicting the outcome of professional tennis matches
• An empirical Bayes model for time-varying paired comparisons ratings: who is the greatest women's tennis player?
• Forecasting the winner of a tennis match.
• LAPACK Users' Guide
• PARX model for football match predictions
• Combining player statistics to predict outcomes of tennis matches

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