SportsAge AI: AI tips for football

About the client

The client came with an idea for paid AI-based sports analytics - not “another tips channel”, but a service where users buy tips and get a match breakdown.

The product has been in production for over six months as a revenue contour: the client consistently makes about 200,000 ₽ per month from the project. This is not “hoping to monetize” - it is a working cash register.

The challenge we started with

Make the tip UX clear: score, outcome, totals - not a wall of text
Connect match data, leagues and tip delivery in one product
Build in balance, plans and checkout, not a "free bot forever"
18+ disclaimers and user responsibility are mandatory
Keep analysis quality as load and match volume grow

What the product is

A web platform of AI tips for football (and related) matches. The user visits sportsageai.ru, picks a league or match and gets an "AI Tip": predicted score, outcome (for example, home win), plus a detailed block for the full match and each half - outcome and totals.

Interface: leagues → match → detailed tip

The screenshots show: a league list (including European cups and an esports slot), mobile and desktop match cards with the AI tip, an 18+ warning and a "Parameter / full match / 1st half / 2nd half" table. This is a working product, not a concept.

How the analysis works (multi-agent)

Inside is a multi-agent pipeline: several AI agents analyze the match from different angles, then the decision is merged into a final tip (score, outcome, totals). The user sees the result, not a "black box for the sake of a nice number".

From bot to web with checkout

Stage 1 - a Telegram bot to test demand. Stage 2 - the web: leagues, tips, plans, balance ("N tips"), admin panel. The web pipeline is what delivered stable monthly revenue.

Revenue and payback

The client has earned around RUB 200,000 per month from this project for over six months. The product paid back and runs as a stable source of income - a rare and honest criterion of a case that really brings in money.

Gallery

SportsAge AI: AI tips for football matches - screenshot 1

SportsAge AI: AI tips for football matches - screenshot 2

SportsAge AI: AI tips for football matches - screenshot 3

How it works

User scenario

Visits sportsageai.ru and sees leagues and matches
Opens a match and gets an AI tip: score + outcome
Views the breakdown by halves and totals
Spends tips from the balance / buys a plan

Team / admin scenario

Manages matches, leagues and tip delivery
Reviews plans, user balances and checkout
Controls 18+ disclaimers and analysis quality

Technology

Product: SportsAge AI · sportsageai.ru
Client revenue: ~RUB 200,000/mo
Time in profit: Over six months
Path: TG bot → web with checkout

Timeline: TG bot → web; in production with revenue for over six months

Result and business effect

Launched sportsageai.ru - a web AI tips service for matches. The client earns about 200,000 ₽/mo for over six months. The product went from a Telegram bot to web with leagues, match cards, AI tips, and a detailed table. Screenshots in the gallery. Site: https://sportsageai.ru/

A fit if you need

You need a paid AI service with checkout, not a "bot for the sake of a bot" - AI agents
You want to grow an MVP from Telegram into a full web product - Web applications
Your niche is content/tips where cards and detailed breakdowns matter - Telegram bots

Frequently asked questions

Questions about this type of project, the same ones clients ask before a similar build.

Why not build it on a no-code platform?

For testing a hypothesis over a couple of months, a builder is fine. Custom code pays off once you hit limits on permissions, integrations, speed or plan quotas. A common path: prototype on a builder, then an MVP on your own code with the data migrated.

How much does it cost and how do I pay?

We price per task, with an estimate in 1–2 days after the brief. It depends on the roles, screens and integrations in the release. You pay per iteration — prototype, MVP, next stage — on acceptance, not the whole budget upfront.

Who owns the code?

You do. The code and infrastructure stay with your company, so you can switch teams without rewriting the product.

What if the requirements change along the way?

Before coding we agree what goes into v1 and what goes to the backlog. New ideas do not break the current stage: we estimate them separately and plan them for the next one. Every finished task goes to staging, so you see the product instead of waiting for the end.