• Ragini Singla
• Dr.Amardeep Singh

Sports Prediction is one of the most used applications in betting industry. Machine learning is used extensively in this application. We have used one of the largest soccer datasets and used it to predict the outcome of the most popular football leagues in Europe and World. We have used Naïve Bayes, Support Vector Machine and Logistic Regression for classification and compared them before and after applying normalization. We have used various parameters while performing prediction which are related with offensive and defensive properties of the team like Goals scored, conceded, corner kicks, red, yellow cards etc. every season. Classification using machine learning algorithm brings displays the most accuracy with and without normalization.

SVM, Sports-Prediction, Naïve-Bayes, Logistic-Regression, Football, Soccer

"Sports Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.2759-2765, October-2020, Available :http://www.jetir.org/papers/JETIR2010359.pdf

"Sports Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp2759-2765, October-2020, Available at : http://www.jetir.org/papers/JETIR2010359.pdf