Weighted Elo rating for tennis match predictions

DOI10.1016/J.EJOR.2021.04.011zbMath1487.62165OpenAlexW3156529121MaRDI QIDQ83323

Giovanni Angelini, Luca De Angelis, Vincenzo Candila, Giovanni Angelini, Vincenzo Candila, Luca De Angelis

Publication date: February 2022

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2021.04.011

zbMATH Keywords

forecastingtennisElo ratingbetting strategy

Mathematics Subject Classification ID

Applications of statistics (62P99)

Related Items (4)

Home advantage and mispricing in indoor sports' ghost games: the case of European basketball ⋮ Simulating the progression of a professional snooker frame ⋮ A new model for predicting the winner in tennis based on the eigenvector centrality ⋮ welo

Cites Work

• 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.
• A dynamic paired comparisons model: who is the greatest tennis player?
• Parameter Estimation in Large Dynamic Paired Comparison Experiments
• PARX model for football match predictions
• Combining player statistics to predict outcomes of tennis matches

This page was built for publication: Weighted Elo rating for tennis match predictions