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From the Sidelines to the Source Code: Architecting the Future of Football Analytics

I spend countless hours in front of my PC, deeply immersed in development. Even when my back starts to ache, I don’t mind, I truly love the world of computer science. Still, everyone needs a break, especially to give their eyes some rest. For me, that break usually means watching football. But even then, my mind never truly stops. As I watch a match, I often find myself wondering: How do clubs track every pass, every shot, and every movement so accurately? Driven by curiosity, I discovered that the “standard” solution often relies on physical sensors and wearable GPS trackers. As a developer, this felt limited. Why depend on hardware when we have rich visual data? That question turned into a challenge: Could I build a system that extracts this intelligence using nothing but computer vision and distributed systems engineering? The Engineering Blueprint: A Heterogeneous Micro-services Approach  Transforming raw football video into tactical insights is not a task for a simple script....

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