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Real-time Football Statistics Provider and Machine Learning Algorithm to Predict Future Premier League Matches


Ryan Vaughan

24/09/2023

Supervised by Oktay Karakus; Moderated by Hiroyuki Kido

Develop a website that offers real-time access to football scores in the Premier League, including player line-ups and detailed statistics such as shots, passes completed, and possession percentage. Additionally, this study will implement a machine learning approach in Python to predict scores throughout the 2023/24 Premier League season based on historical data in the previous year. By leveraging these data-driven methods, the aim is to provide insights into the dynamics of football matches and contribute to the growing field of sports analytics.


Final Report (24/09/2023) [Zip Archive]

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