ROMEOADVANCED ACADEMY

Course complete

You finished. Here is what comes next.

Thank you for taking AI for Sport Analysts. We hope it was useful. Five suggestions, in roughly the order most learners find them useful.

1. Keep using the bot. Refine the prompt.

The single best thing you can do is keep using the assistant you built. Every week, run a small analysis through it that you would have done by hand. Every time it gets something wrong, refine the relevant block of your system prompt. After three or four months of this, you will have a prompt that is genuinely yours — adapted to your sport, your league, your data conventions, your voice.

2. Go deeper — Path E in the full programme

This free course is, deliberately, the first three hours of Path E — AI for Sports, the Tier 3 specialisation of the Integrated AI Program. Path E is 60 ECTS across ten courses:

E1

Foundations of Sport Analytics

The four domains, the data stack, the history of the field. This course goes deeper than Lesson 1.

E2

Performance Modelling and Injury Prediction

The classical sport-science modelling stack — RPE, ACWR, force plates — and where ML helps, where it doesn't.

E3

Computer Vision for Sport

Automated tagging from broadcast feeds. Pose estimation. Tracking. The video frontier.

E4

Tactical AI

xT, possession-value frameworks, opponent modelling, set-piece libraries. Goes deeper than Lessons 2 and 3.

E5

Scouting and Player Valuation

Transfer-market modelling, age-curve adjustment, role-fit, league-strength normalisation. The market discipline of scouting analytics.

E6

Fan, Broadcast and Commercial AI

Personalisation, broadcast graphics, fan-engagement modelling. The commercial side of the field, treated seriously.

E7

Officiating and Integrity

VAR, automated offside, match-fixing detection, betting-market surveillance. The most-public AI applications in sport.

E8

Esports Analytics

The fastest-growing area of the field. Telemetry, meta-game modelling, anti-cheat ML.

E9

Ethics and Governance in Sport AI

Athlete data sovereignty, governance frameworks, the regulatory landscape. Goes deeper than Lesson 5.

E10

Applied Capstone

A real engagement with a sport organisation. Final portfolio artefact.

Path E launches with the January 2027 cohort. Applications open from November 2026. If you want to be notified when applications open, drop a line to hello@romeoadvancedacademy.com with "Path E waitlist" in the subject.

3. Read these

A short reading list, in roughly increasing depth. If you have not read the first few, they are still worth your time even after this course.

  • Moneyball by Michael Lewis. The book that defined the field. Still the cleanest introduction.
  • The Numbers Game by Chris Anderson and David Sally. The football-analytics counterpart, sharper than its title.
  • Soccermatics by David Sumpter. The mathematics under the modelling, written for a working analyst's level.
  • StatsBomb's open research. Free, online, written by working data scientists. Read three or four pieces and you will recognise the field's conversation.
  • FIFPRO's Project Red Card materials. The athlete-data sovereignty argument, in the words of the people making it.

4. Try the other free courses

Free course · 5 lessons

Build Your First AI Agent

The agent loop, tools, multi-step planning, failure modes. The fundamentals course this one assumes you know.

Take this course

Free course · 5 lessons

Build a Market Research Bot

The sister course. Different domain (markets, not sport), same disciplines — system prompt design, no-prediction rule, audience translation.

Take this course

Free course · 5 lessons

AI Security Foundations

If you handle sensitive data — which, in sport, you do — the security primer for AI systems.

Take this course

5. Tell us what we missed

This is the first version of this course. The next version will be better because of feedback from the first wave of readers. If something landed badly, if a block of the system prompt did not work in your sport, if a lesson missed something important — please tell us. Email hello@romeoadvancedacademy.com with "Sport course feedback" in the subject. Every note is read.

Applications for January 2027 open in November.

Path E — AI for Sports. Sixty ECTS, ten courses, applied capstone, online.

Register your interest