How to Get a Job in Football Analytics: The Complete 2026 Career Guide
Football analytics is one of the fastest-growing sectors in the sport. Every club, agency, and media company needs people who can work with data. But how do you actually get into the industry? Here's the honest guide.
What Skills Do You Need?
Essential:
- Python or R: You need to code. Period. Python is more common in the industry, but R has a strong community in sports analytics. If you're starting from zero, learn Python first.
- Statistics: You need to understand probability, regression, hypothesis testing, and Bayesian thinking. A formal statistics course (even online) is highly recommended.
- Data visualization: Being able to create clear, compelling charts and graphics is essential. Matplotlib, Seaborn, and Plotly in Python. Tableau for interactive dashboards.
- Football knowledge: You need to understand the game. Not just the rules — the tactics, the positions, the strategies. Watch football with an analytical eye.
Nice to have:
- Machine learning: Useful for building predictive models, but not required for entry-level positions
- SQL: Many clubs store their data in databases
- Video analysis: Some roles combine data analysis with video coding
- Communication skills: You need to explain complex findings to coaches who may not be data-literate
How to Build a Portfolio
You need to show clubs what you can do. The best way is to publish your work:
- Start a blog or Twitter/X account: Share your analysis publicly. Clubs and agencies actively scout Twitter for talented analysts.
- Use free data: FBref, Understat, and StatsBomb Open Data provide free datasets. Build projects using real data.
- Create data visualizations: Shot maps, pass networks, and radar charts that look professional. Aesthetics matter.
- Enter competitions: The Friends of Tracking community, StatsBomb conferences, and various football analytics competitions are great resume builders.
Where Are the Jobs?
Clubs: Every Premier League club has at least 3-5 analysts. Championship clubs are increasingly hiring too. Titles include: Data Analyst, Performance Analyst, Recruitment Analyst, Set Piece Analyst.
Data providers: Opta, StatsBomb, Wyscout, InStat, and Second Spectrum all hire analysts. These companies collect, process, and sell data to clubs.
Media: The Athletic, ESPN, Sky Sports, and independent football analytics media all need writers who can work with data.
Agencies: Player agencies increasingly use data to evaluate potential clients, negotiate contracts, and advise on career moves.
The Honest Truth
Getting into football analytics is competitive. Salaries are often lower than equivalent roles in tech or finance — at least at entry level. Many people start with internships or volunteer positions. The passion for football is what drives people into the industry, not the money.
But if you love football and data, there's never been a better time. The industry is growing rapidly, the tools are more accessible than ever, and clubs are investing more in analytics every year. Build your skills, publish your work, and put yourself out there. The next great football analyst might be you.