I’m Building a FastF1 for the Premier League. It’s Going… Fine.

📰 Medium · Data Science

Learn how to build a data science project for the Premier League using Python, inspired by FastF1, and understand the challenges of working with football data

intermediate Published 26 Apr 2026

Action Steps

Build a Python library for football data using publicly available APIs and datasets
Configure data pipelines to collect and process football data
Test data models using historical Premier League data
Apply data visualization techniques to showcase insights
Compare results with existing football data platforms like FastF1

Who Needs to Know This

Data scientists and analysts working on sports projects can benefit from this article, as it provides insights into building a data-driven project for the Premier League

Key Insight

💡 Working with football data can be challenging, but using Python and publicly available APIs can help build a robust data science project