AI Football Predictor — Frontend
Live site: aifootballp.com
The frontend for an AI-powered football prediction platform, currently covering the Premier League 2026–27 season and the FIFA World Cup 2026. It displays match predictions, title-race simulations, and model performance tracking generated by a backend prediction engine.
What it does
- Displays match-by-match win/draw/loss predictions for the Premier League
- Shows live title race and league table simulations (10,000+ Monte Carlo runs)
- Tracks model accuracy against actual results as the season progresses
- Covered the FIFA World Cup 2026 with a full 48-team tournament simulation (65.9% overall match accuracy)
Tech stack
- Framework: Next.js 15 (App Router)
- Styling: Tailwind CSS
- Language: TypeScript
- Deployment: Vercel
Architecture
This repository contains the frontend only. It consumes predictions from a separate backend service (FastAPI + Python) that handles data ingestion, model inference, and simulation. The prediction models, training pipelines, and historical datasets are maintained in a private repository, as they represent the core research and development work behind the platform.
Getting started
npm install
npm run dev
Open http://localhost:3000 to view it locally. You'll need to point NEXT_PUBLIC_API_URL (see .env.example) at a running instance of the backend, or mock the API responses for local UI development.
About
Built and maintained by Halgurd Nawzad Awl — Lecturer & Researcher at SPU university.
