Improvement of Football Match Score Prediction by Selecting Effective Features for Italy Serie A League
Abstract
Keywords
Soccer, Football, Sport Result Prediction, Feature Selection, Team Sport
References
- Bunker, R. and T. Susnjak, The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Review. arXiv preprint arXiv:1912.11762, 2019.
- Zaveri, N., et al., Prediction of Football Match Score and Decision Making Process. International Journal on Recent and Innovation Trends in Computing and Communication, 2018. 6(2): p. 162-165.
- Chalikias, M., E. Kossieri, and P. Lalou, Football matches: Decision making in betting. Teaching Statistics, 2020.
- Samba, S., Football Result Prediction by Deep Learning Algorithms. 2019, Tilburg University.
- Barron, D., et al., Identifying playing talent in professional football using artificial neural networks. Journal of Sports Sciences, 2020: p. 1-10.
- Joseph, A., N.E. Fenton, and M. Neil, Predicting football results using Bayesian nets and other machine learning techniques. Knowledge-Based Systems, 2006. 19(7): p. 544-553.
- Owramipur, F., P. Eskandarian, and F.S. Mozneb, Football result prediction with Bayesian network in Spanish League-Barcelona team. International Journal of Computer Theory and Engineering, 2013. 5(5): p. 812.
- Goddard, J., Regression models for forecasting goals and match results in association football. International Journal of forecasting, 2005. 21(2): p. 331-340.
- Baboota, R. and H. Kaur, Predictive analysis and modelling football results using machine learning approach for English Premier League. International Journal of Forecasting, 2019. 35(2): p. 741-755.
- Schumaker, R.P., O.K. Solieman, and H. Chen, Sports data mining. Vol. 26. 2010: Springer Science & Business Media.