In this study, an automated method for predicting soccer events such as corner kick, free kick, goals and penalties has been developed using optical tracking data with random forest classifier. The study was conducted on a dataset of 140 matches from Turkish Football Federation Super League 2017-2018 season. The average accuracy on validation set is %93.8 and %91.4 on a separate held-out test set.