A COMPARATIVE STUDY OF THE DIFFERENT CLASSIFICATION ALGORITHMS ON FOOTBALL ANALYTICS

Sports analytics is on the rise, with many teams looking to use data science and machine learning algorithms augment their research boost team performance. This especially true in case of Football Clubs. In this work, we have taken statistics matches for each from five major football leagues. These include English Premier League, La Liga, Serie A, Bundesliga, Ligue 1. We two kinds classification predict a win, loss, or draw. First, implement Multiclass Classification using Naive Bayes classification, Decision Tree K-Nearest Neighbours classification. f1-score, recall, precision evaluate model. Next, Binary if wins does not i.e., loss achieve by Support Vector Machines, Logistics Regression, results evaluation metrics mentioned above. Now, compare accuracy efficacy these based metrics. will help standardize means sports future.