Ranking soccer teams on the basis of their current strength: A comparison of maximum likelihood approaches

DOI10.1177/1471082X18817650OpenAlexW2964046272WikidataQ128538198 ScholiaQ128538198MaRDI QIDQ5142228

Hans van Eetvelde, Christophe Ley, Tom van de Wiele

Publication date: 30 December 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1705.09575

zbMATH Keywords

predictive performanceweighted likelihoodBradley-Terry modelbivariate Poisson modelindependent Poisson model

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (8)

Predicting match outcomes in association football using team ratings and player ratings ⋮ Quantifying incentive (in)compatibility: a case study from sports ⋮ Introducing Lasso-type penalisation to generalised joint regression modelling for count data ⋮ Estimating the change in soccer's home advantage during the covid-19 pandemic using bivariate Poisson regression ⋮ The probabilistic final standing calculator: a fair stochastic tool to handle abruptly stopped football seasons ⋮ Competing in daily fantasy sports using generative models ⋮ How to avoid uncompetitive games? The importance of tie-breaking rules ⋮ Phylourny: efficiently calculating elimination tournament win probabilities via phylogenetic methods

Uses Software

• R
• engsoccerdata

Cites Work

• Unnamed Item
• PARX model for football match predictions

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