Prediction of UEFA champions league elimination Rounds winners using machine learning algorithms

İsmail Hakkı Kınalıoğlu; Coşkun Kuş

doi:10.17776/csj.780391

EN

Prediction of UEFA champions league elimination Rounds winners using machine learning algorithms

Abstract

In this study, the teams that qualified for the next round as a result of two-legged matchups are predicted using the data collected from the UEFA (Union of European Football Associations) Champions League group stage matches. The study contributes to the literature in terms of variety of methods used and content of the dataset compared to other studies conducted on football data. It is also a pioneering study to predict the outcome of a two-legged matchup. The data are collected from the matches played in the Champions League organizations held between 2010-2018. Classification methods as Artificial Neural Network, K-Nearest Neighbors, Logistic Regression Analysis, Naive Bayes Classifier, Random Forest and Support Vector Machine are used for the prediction. Two applications are carried out to test the successes of the classification models. In the first application, the most successful method is naive bayes classifier (86.66%) and in the second application, the most successful method is random forest (74.81%).

Keywords

References

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Details

Primary Language

English

Subjects

Statistics

Journal Section

Research Article

Authors

İsmail Hakkı Kınalıoğlu ^*
0000-0001-7445-3510
Türkiye

Coşkun Kuş
0000-0002-7176-0176
Türkiye

Publication Date

December 29, 2020

Submission Date

August 14, 2020

Acceptance Date

November 18, 2020

Published in Issue

Year 2020 Volume: 41 Number: 4

DOI

https://doi.org/10.17776/csj.780391

IZ

https://izlik.org/JA83EK82CA

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RIS / Bibtex

APA

Kınalıoğlu, İ. H., & Kuş, C. (2020). Prediction of UEFA champions league elimination Rounds winners using machine learning algorithms. Cumhuriyet Science Journal, 41(4), 951-967. https://doi.org/10.17776/csj.780391

Öz

Prediction of UEFA champions league elimination Rounds winners using machine learning algorithms

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite