Using Machine Learning for Game and Player Analytics

This project develops machine learning solutions to analyse and explore game outcomes and player performance and behaviours given data acquired from the real-world sports and e-sports games. Below we outline a 3-month program of work. The key deliverable is prototype software for (1) outcome prediction and feature analysis, (2) game events and player performance anticipation and forecasting, and (3) effective and interpretable visualizations of the outcomes of our system. Moreover, we will deliver a technical report, covering scientific and engineering details of our systems, methods, and results.