Football Data Analysis Using Machine Learning Techniques

Football Data Analysis Using Machine Learning Techniques

Abhiraj Chavan1, Pavan Shelke2, Pallavi Patil3

Department of Computer Engineering

Genba Sopanrao Moze College of Engineering, Balewadi, Pune 45

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Abstract - - This paper presents an analysis of football using machine learning techniques. The aim is to develop a model that can predict various outcomes and statistics related to football matches based on historical data of the premier league. The study explores various machine learning algorithms, such as XGBOOST, KNN, and LOGISTIC REGRESSION, to identify the most effective approach. The data used in the analysis includes match results and team performance metrics. The findings show that the machine learning model can accurately predict outcomes and identify patterns in football data. The paper explains by highlighting the potential of machine learning in football analysis and its possible impact on coaching and decision-making processes.

Key Words:  statistics, premier league, XGBOOST, KNN, LOGISTIC REGRESSION, accurately, potential.