AI Assistant for Football Betting
AI Assistant for Football Betting
Data Analysis and Automation
A smart system that analyses matches in the 5 major European leagues using statistical models trained on thousands of historical results. It predicts outcomes and goal markets, identifies value bets, suggests stake sizes with the Kelly Criterion, and tracks performance with financial and accuracy backtests. The process is fully automated with n8n, which runs the analysis, summarises results with AI, and sends updates to Telegram. 🔒 Only I have access to the dashboard. 📲 Join the Telegram group to get predictions every Friday and Monday. ⚠️ Disclaimer: betting is your own responsibility. 🤝 If you'd like to see the dashboard or help expand this project, feel free to contact me.
- Type
- Data Analysis and Automation
- Role
- Full-Stack Developer
- Service
- Data Engineering / Automation / AI/ML Integration
- Year
- 2025
Project Overview
AI Assistant for Football Betting is an automated system designed to provide data-driven predictions and insights for the 5 major European football leagues.
Using statistical models trained on thousands of historical results, the system predicts outcomes, goal markets, and identifies potential value bets. Beyond predictions, it suggests stake sizes using the Kelly Criterion and continuously tracks performance through financial and accuracy backtests.
The entire workflow is automated via n8n, which executes the analysis, summarizes results with AI, and delivers updates directly to a Telegram group.
⚠️ Disclaimer: Betting always involves risk — use responsibly.
Key Features
- Automated Analysis: Match data processed and analyzed without manual intervention
- Statistical Models: Predictions based on large datasets of historical results
- Value Detection: Identifies bets with positive expected value
- Kelly Criterion: Calculates optimal stake sizes for bankroll management
- Performance Tracking: Backtests both financial outcomes and prediction accuracy
- Real-Time Updates: Automated results delivered via Telegram
Technologies Used
- Python: Core language for data processing and modeling
- Pandas & SciPy: Statistical modeling and data analysis
- n8n: Orchestrating and automating the workflow
- Docker: For consistent deployment and scalability
Process & Automation Flow
- Data Collection: Match results and stats gathered from trusted sources
- Statistical Modeling: Predictions generated with regression and probability models
- Value Bet Identification: Markets scanned for opportunities based on odds and models
- Stake Calculation: Kelly Criterion applied for bankroll optimization
- Automation via n8n: Runs tasks, generates summaries, and connects to AI
- Delivery: Predictions and analysis pushed directly to Telegram subscribers
Challenges & Solutions
- Data Reliability: Implemented cleaning and validation routines to ensure accuracy
- Complex Probability Models: Balanced model performance with interpretability
- Automation Failures: Built retry logic and Dockerized the pipeline for stability
- User Access: Dashboard remains private 🔒, but predictions are shared on Telegram 📲
Access
📲 Predictions are posted every Friday and Monday on the Telegram group.
🤝 Interested in seeing the private dashboard or collaborating on expanding this project? Feel free to reach out.
