Dipl.-Ing. Dejan Antanasković, Senior Software Engineer & Freelancer

Overview

Football Matches & Predictions is a cross-platform mobile app built with Flutter/Dart, backed by a robust Java Spring Boot API and PostgreSQL spatial database. Tailored for football fans worldwide, the app provides real-time match results, standings, detailed match statistics, prediction probabilities, and H2H (head-to-head) comparisons.

Since its initial release, the app has gained substantial popularity and has been downloaded over 300,000 times on Google Play. It is especially favored in emerging football markets across Africa, with a growing global user base.

The backend system processes live football data from over a 1,000 leagues and competitions worldwide. Predictions are generated through statistical models that evaluate current form, past performance, and team-specific dynamics.

Visit the official website:football.ad-solutions.uk
Available on Google Play:Football Matches & Predictions

Key Features

🏆 Live Results
Near real-time updates for matches from major international and national football leagues.
📅 Fixture Calendar
Daily match overview with time-zone-aware kickoff times.
🔍 Head-to-Head Stats
Historical performance comparison between teams.
🌍 Localized
Available in 8 languages (English, German, French, Spanish, Portuguese, Serbian, Croatian, Bosnian).
📱 Cross-Platform
Developed using Flutter for Android and future iOS support.
🌐 Fast & Secure Backend
Java/Spring Boot API protected via API key and HTTPS encryption.
📈 Scalable Architecture
Backend optimized for high load, with real-time updates and efficient caching.
☁️ Cloud Hosted Backend API
Backend deployed in a secure European cloud environment for GDPR compliance.

Tech Stack

Frontend: Flutter / Dart
Backend: Java, Spring Boot, PostgreSQL
OS Support: Android 6.0 and up

My Role

I was solely responsible for the entire development cycle of the application – from backend API design to Flutter frontend implementation and Google Play deployment. I also maintain the infrastructure and monitor analytics and performance in production.