Telegram bot for football predictions with AI and VIP access

Development of a Telegram bot for automatic publication of football predictions, match analytics, paid subscriptions, and management of access to a private VIP channel.

The project is created as a service for sports Telegram content: the bot collects football matches daily, analyzes them through AI or a local rule-based algorithm, selects the best predictions, publishes a free prediction in the open channel, and full VIP predictions in a private channel for paying users.

What has been implemented:

• Telegram bot for football predictions;
• automatic daily collection of matches;
• AI analysis via OpenAI;
• local fallback algorithm if AI is unavailable;
• analysis of team form, goals, BTTS, Over 1.5 / Over 2.5, head-to-head meetings, and standings;
• support for multiple football data sources;
• filter for upcoming matches to avoid publishing predictions for already started games;
• clear format of Telegram posts with risk, confidence, expected score, and explanation of the bet;
• storage of predictions in a database;
• automatic checking of match results;
• daily and overall winrate statistics;
• open channel with free prediction of the day;
• private VIP channel with full predictions;
• rates for 1 day, 3 days, and 1 month;
• user personal account in the bot;
• transaction history;
• payment via Telegram Stars;
• automatic issuance of a one-time invite link after successful payment;
• control of active subscription;
• reminders about subscription expiration;
• automatic removal of the user from the private channel after access ends;
• support for multiple languages and channels;
• deployment on Railway.

Technologies:

Python, aiogram, OpenAI API, PostgreSQL, APScheduler, Telegram Bot API, Telegram Stars, Railway, REST API.

Result:

A ready Telegram service for sports predictions with monetization: the bot automatically finds matches, analyzes them, publishes predictions, tracks winrate statistics, accepts payments, grants access to the private channel, and monitors subscription activity.

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