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Regression models for forecasting goals and match results in association football
5 references·14 citing·31 second hop
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this work references cited by second hop

References

  • 1997Modelling Association Football Scores and Inefficiencies in the Football Betting Market446 cited
  • 2003Analysis of sports data by using bivariate Poisson models393 cited
  • 1982Modelling association football scores379 cited
  • 1995Home Ground Advantage of Individual Clubs in English Soccer325 cited
  • 2000Prediction and Retrospective Analysis of Soccer Matches in a League207 cited

Cited by

  • 2004Forecasting football results and the efficiency of fixed‐odds betting192 cited
  • 2006Are Football Referees Really Biased and Inconsistent?: Evidence on the Incidence of Disciplinary Sanction in the English Premier League156 cited
  • 2012pi-football: A Bayesian network model for forecasting Association Football match outcomes150 cited
  • 2017Testing the Wisdom of Crowds in the field: Transfermarkt valuations and international soccer results138 cited
  • 2023Expected goals in football: Improving model performance and demonstrating value105 cited
  • 2020Success factors in football: an analysis of the German Bundesliga100 cited
  • 2010Issues in sports forecasting99 cited
  • 2018Incorporating domain knowledge in machine learning for soccer outcome prediction91 cited
  • 2005Home advantage and the debate about competitive balance in professional sports leagues

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86 cited
  • 2018Dolores: a model that predicts football match outcomes from all over the world84 cited
  • 2009Brazilian Football83 cited
  • 2018Learning to predict soccer results from relational data with gradient boosted trees80 cited
  • 2010Are differences in ranks good predictors for Grand Slam tennis matches?78 cited
  • 2010Forecasting national team medal totals at the Summer Olympic Games76 cited