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AI-Powered Football Analysis Assistant
The AI-Powered Football Analysis Assistant is an interactive analysis platform that uses league data, match statistics, and historical performance to provide users with intuitive, data-driven insights about football matches. It is designed to generate analytical reports, compare teams, and offer deep match evaluations.
PythonAI IntegrationPrompt EngineeringStreamlit/UI
Focus
Data · Product · Software
Output
Model / Dashboard / MVP
Stack
Python · AI Integration · Prompt Engineering · Streamlit/UI
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Project Details
I've documented the problem, approach, experiments, and outcomes here in an organized manner.
This project is a football analytics and betting assistant built with a FastAPI backend and a Next.js (React) frontend. The application:
- •Fetches league, match, and team data from external football data APIs and stores it in PostgreSQL.
- •Provides a Match Center where users can browse fixtures by league and season, and see detailed match views with xG, corners, cards, form, H2H, and odds.
- •Computes model probabilities and edge / value-bet signals from prematch context and odds, and combines them with an AI-generated natural language analysis.
- •Persists every AI recommendation in a prediction_records table, links it to the actual match result after full time, and exposes hit rate, ROI, and total profit/loss metrics for transparent performance tracking.
- •Offers a Coupon Wizard that generates AI-assisted coupons based on selected leagues, date ranges, risk profile, and desired number of matches, using real market odds from the database.
- •Emphasizes transparency with clear legal/ethical disclaimers on analysis and coupon pages, a performance summary block, and a “Why is this valuable?” section on the homepage.