How to Get Into Football Analytics
The new frontier of football — using data to make better decisions, and the career path for the data-driven generation.
Getting into football analytics takes three things: real data skills, genuine football understanding, and public work that proves both. It is a small, competitive field, and almost everyone in it got their first role off the back of something they published for free.
What football analysts do
- Collect and clean data — match event data, tracking data, physical data, scouting inputs
- Analyse it — find patterns that survive scrutiny rather than patterns that look good
- Build models — recruitment shortlists, chance-quality models, injury risk, opposition profiling
- Communicate — turn a model into one slide a coach can act on before Saturday
The last one is where most technically strong candidates fail.
The key skills
| Skill | Why it matters |
|---|---|
| Data analysis | The core of the job — cleaning, joining and interrogating messy data |
| Statistics | Knowing what a result means, and when it means nothing |
| Programming | Python or R, plus SQL. Spreadsheets stop scaling quickly |
| Football knowledge | Without it you will answer questions nobody asked |
| Communication | Coaches act on clarity, not on notebooks |
Build a portfolio with public data
There is more free football data available than most people realise, and every recognised name in the field started by publishing analysis with it.
- Pick a real question — narrow and answerable, not "who is the best player"
- Use open data — free event data sets, public league results, published xG figures
- Show your working — code in a public repository, methodology in plain English
- Write for a coach, not a conference — the conclusion first, the method underneath
- Publish consistently — one piece a month for a year beats one excellent piece
Where analysts work
| Employer | What the work looks like |
|---|---|
| Clubs | Recruitment analysis, performance analysis, opposition profiling |
| Data companies | Building and selling the data and models clubs use |
| Media | Analysis and visualisation for a public audience |
| Betting | Modelling markets — the best-paid route, and the least football-shaped |
| Agencies and federations | Player representation, national-team recruitment and development |
The common routes in
- From data — a data science or engineering job elsewhere, then a move across
- From sports science — physical and performance data, expanding into event data
- From football — coaching or analysis experience, adding technical skills
- From academia — statistics or computer science research, applied to football problems
The data route is the most common, because the technical skills take longer to acquire than the football knowledge.
Being realistic about it
Analytics roles at clubs are few, applications are many, and salaries are frequently below what the same skills earn outside football. The people who get in are usually the ones who were doing the work publicly, for free, before anyone paid them.
Common questions
How do you get into football analytics?
Learn Python or R and SQL, build genuine football understanding, and publish analysis using open data until your public work is good enough to get noticed.
What programming language should a football analyst learn?
Python is the most widely used, with R common in statistics-heavy work. SQL is essential for either, because most club data lives in databases.
Do you need a degree for football analytics?
Not necessarily. A quantitative degree helps, but a strong public portfolio of applied analysis carries more weight with most hiring managers in the field.
Where can you get free football data?
Several providers publish open event data sets for research and education, and public results and xG data are widely available. Read the licence before publishing anything built on them.
Is football analytics well paid?
Club roles often pay less than equivalent data jobs outside sport. Betting and data-provider roles pay considerably better; people take club jobs for the football, not the salary.
Try it yourself
Gaffa is a free browser football manager — pick a club, set your tactics and play a full season. No download, no account, nothing to install.
What is xG? → · How to become a scout → · FM26 data and analytics →