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Statistical Modelling for the Prediction of Football Matches in German Bundesliga
Subject area: Science,Engineering and Technology · Area of research: statistics
Abstract
In this paper we have modeled football results using the Elo and Logistic regression ratings by incorporating the aspect of removal of players for the German Bundesliga for 2017/18 and 2018/19 seasons, estimated the expectations of teams? wins or losses and compared the model developed with Zacchary Andrews?s model which was developed in 2019.
Keywords
Statistical Modelling, Prediction of Football Matches
References
[1] Arntzen, H., & Hvattum, L. M. (2020). Predicting match outcomes in association football using team ratings and player ratings. Statistical Modelling, 1471082X20929881.
[2] Hvattum L. M. and Arntzen H. (2010). Using ELO ratings for match result prediction in association football," International Journal of Forecasting, vol. 26, pp. 460{470, Jul. 2010.
[3] Zacchary A. (2019). Comparing Predictive Models for English Premier League Games.
How to cite this paper
@article{1702904,
author = {Vincent Nyongesa Marani},
title = {Statistical Modelling for the Prediction of Football Matches in German Bundesliga},
journal = {Iconic Research And Engineering Journals},
year = {2021},
volume = {5},
number = {2},
pages = {86-88},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702904.pdf},
abstract = {In this paper we have modeled football results using the Elo and Logistic regression ratings by incorporating the aspect of removal of players for the German Bundesliga for 2017/18 and 2018/19 seasons, estimated the expectations of teams? wins or losses and compared the model developed with Zacchary Andrews?s model which was developed in 2019.},
keywords = {Statistical Modelling, Prediction of Football Matches},
month = {August},
}