Regression models for forecasting goals and match results in association football

213 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Forecasting football match results in national league competitions using score-driven time series models (2019, background): “Goddard (2005) explores the inclusion of covariates in a bivariate Poisson model.”
Issues in Sports Forecasting (2010, background): “Goddard (2005) showed that models based on goals and those derived from scores gave similar results.”
Using ELO ratings for match result prediction in association football (2010, methodology): “…the parameters for the logit models, we suspect that this is not sufficient to avoid substantial amounts of noise in the estimates of GODb and GODg; Goddard (2005) reported that the inclusion of more data continued to improve the predictive power until about 15 seasons of data were included.”
Modelling the dependence of goals scored by opposing teams in international soccer matches (2011, background): “Goddard (2005) assesses the relative”
Are football referees really biased and inconsistent?: evidence on the incidence of disciplinary sanction in the English Premier League (2007, methodology): “Full details of the forecasting model are reported in Goddard (2005) and are not repeated here.”
Modelling soccer matches using bivariate discrete distributions with general dependence structure (2007, methodology): “To model shots-for and shots-against, we could employ one of the bivariate Poisson-related models used by, for example, Goddard (2005) when modelling goals.”