Predicting Tennis Match Outcomes

Tennis is one of the most popular and most followed game on earth, especially singles tennis. As per the scoring rules of the game and the players style of playing and the location, there can be a wide approach on predicting the outcome of the game. In this research one such predictive approach has been explored. Using various statistical tools like multi-output regression and standard machine learning algorithms like random forest, this research tries to analyse and in turn predict the outcomes of a singles tennis match. This research also aims to analyse and study the various techniques and parameters used to determine the outcome of a tennis match and evaluate the results thus obtained after the application of the proposed methodology. Towards the end the research also aims to analyse and understand the application of this methodology and stress on a few more areas where this methodology would be useful.