Python, as we all know, is a very vast language in the context of applicability. Sports analytics is not an exception to this. Sports Analytics is pivotal in the football world, as insights from this activity are used to drive decision-making during the football season. In this tutorial, we will use Python and its green ecosystem of libraries to extract the premier league table data from the internet. We would also be applying and learning some Python concepts such as Virtual Environments, Modularization, Object-oriented programming (OOP), Loops, Comprehensions, and data storage.