Python Match Analysis Masterclass

Jamie Dos Anjos shows you how to use Python to analyse a Premier League match. Using your JSON file of the match, you will go through the cleaning-summarising-visualising process.

Accompanying the video, in ‘Extras’, you will find some accompanying materials to help you get the most out of the session:

1. Session Notebook: Summarises the concepts that are discussed during the session.
2. Further Reading: Recommendations for further reading and resources.
3. Key Terms & Concepts: Introducing your first steps and concepts with Python programming.

And in this Google Drive you will find:

1. Wyscout JSON match data file: This is the data you will be using during the session, from the Premier League match between Liverpool and Manchester City in October 2021.
2. ipynb file: This is the Python code used in the session. To install Python and use the file, the instructions are:

Installing Python:

We strongly recommend installing Python with Anaconda, which includes some extra tools to make learning and coding easier. Here are installation instructions for Windows and for Mac

When you open Anaconda, you will find another tool called Jupyter Notebook. This is what we’ll be using to code in during the session if you want to follow along. Click ‘launch’ on the Jupyter Notebook option to open it up, then navigate to the .ipynb file that I will make available on the Google Drive link, or open a new one in the top right hand corner.