At Hudl Statsbomb, we are dedicated to fostering the growth of the next generation of analysts. We consistently publish free datasets featuring our industry-leading event data – many of which include additional 360 player positioning data around each event – and offer further education and resources to ensure effective utilisation of our data.
Recently, we held a webinar titled How to Use StatsBomb Free Data in Python to guide attendees through the process of using Python to work with our free event data for the first time. In this session, hosted by Martha Reyna and Lily Wood-Blake, Customer Success Analysts at Hudl Statsbomb, we demonstrated how to import our free data into your workspace, perform data analysis, and visualise your results, with live responses to attendee feedback and questions.
We recognise the strong demand for education and resources in data analysis and programming languages. You may aspire to enter the sports analytics field and pursue a career in sports analysis -- at Hudl Statsbomb, many of our team members use Python in their daily work across data science, analysis, and customer success. Therefore, we are making the webinar and accompanying resources available for free and on-demand.
Some of the topics addressed in the webinar and accompanying materials include:
- Installing Python packages
- Importing Hudl Statsbomb free data into your workspace
- Manipulating the data
- Visualising the data with Matplotlib
- Visualising the data on a pitch plot
And much more, with step-by-step explanations and guidance along the way.
How to use Hudl Statsbomb free data in Python
All resources and documents provided to webinar attendees are available in this drive. The drive includes:
- Introduction to Python guide
- How to access Google Colab
- The code used in the webinar in a .ipynb file
We recommend reading the Introduction to Python guide before getting started, as this offers essential foundational knowledge and advice to help accelerate your learning process.
To access the Introduction to Python guide, click here.
To access the How to access Google Colab guide, click here.
To download the .ipynb code file used in the webinar in to load into your Python environment, click here.
The Webinar
And here is the recording of the webinar to watch on-demand when you’re ready to learn.
Best of luck,
The Hudl Statsbomb Team
