EPL 2024/2025 Passing Networks (cGANs)
Proyek riset AI canggih menganalisis pola passing English Premier League menggunakan Conditional Generative Adversarial Networks (cGANs). Mengembangkan model machine learning sophisticated untuk menghasilkan dan mengevaluasi visualisasi passing network, memberikan wawasan taktis untuk analisis sepak bola. Mengimplementasikan aplikasi web real-time dengan visualisasi interaktif, analisis formasi, dan rekomendasi strategis. Fitur termasuk pemrosesan data komprehensif statistik EPL 2024/2025, arsitektur neural network canggih, dan interface pengguna intuitif untuk pelatih dan analis. Termasuk dukungan multi-formasi, pengenalan pola taktis, dan modeling prediktif untuk optimasi strategi game.
Kolaborasi: Samuel (AI Research Collaborator)
Case Study Details
CGAN Premier League Passing Networks
Problem: Traditional passing analysis is limited, cannot predict new patterns. Teams need real-time tactical simulations.
Approach: CGAN (Generator/Discriminator), EPL 2024/2025 data, inputs: formation, playing style, creativity. Real-time web UI, 5 main formations.
- 100% test pass, AI generates new passing networks
- 6 interactive tactical analysis features, thickness/curve/marker visuals
- Loading <10 seconds, multi-browser support, concurrent access
Next: Real-time match data integration, league expansion, mobile app, AI injury prediction, video analysis.