Predicting Football Match Results Using Data Mining Techniques

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Bakhoda, Ali | 2021

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 54593 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Rafiee, Majid
Abstract:
Recently, data scientists have been paying much attention to sports. Many researches have been done in this field, using data mining and machine learning techniques. The following research aims to predict the results of football matches, which consists of two general approaches. For the first and second approaches, we used video game data and match statistics, respectively. In both approaches, it was tried to predict not only the final result (win, draw, or loss) but also the final goal difference. In the first approach, the home team victory was predicted by 73% accuracy, the draw by 75.4%, and the home team defeat by 73.7%. Nevertheless, in the second approach, the home team victory was predicted by 85% accuracy, the draw by 75.7%, and the home team defeat by 87% accuracy. Comparison of our results with previous research shows the improvement in some cases
Keywords:
Machine Learning ; Data Mining ; Classification ; Football ; Forecasting

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