Corpus ID: 54219318

Prediction of the FIFA World Cup 2018 - A random forest approach with an emphasis on estimated team ability parameters

@article{Groll2018PredictionOT,
  title={Prediction of the FIFA World Cup 2018 - A random forest approach with an emphasis on estimated team ability parameters},
  author={A. Groll and C. Ley and G. Schauberger and Hans Van Eetvelde},
  journal={arXiv: Applications},
  year={2018}
}
  • A. Groll, C. Ley, +1 author Hans Van Eetvelde
  • Published 2018
  • Mathematics
  • arXiv: Applications
  • In this work, we compare three different modeling approaches for the scores of soccer matches with regard to their predictive performances based on all matches from the four previous FIFA World Cups 2002 - 2014: Poisson regression models, random forests and ranking methods. While the former two are based on the teams' covariate information, the latter method estimates adequate ability parameters that reflect the current strength of the teams best. Within this comparison the best-performing… CONTINUE READING

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