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.