11/06/2026
Anyone who knows me knows I’m a methodical thinker, especially when it comes to football. I believe the scouting system isnt working as well as it should.
The standout players and early developers are still the most scouted players at the younger age groups with late developers and small players the least represented in academy football. Yet, some still go on to do great things, PSG midfield pair are the perfect example.
I’ve been wondering if there’s a better way to measure and predict player potential using A.I, and if there are patterns I’m missing, or even picking up on, that I’m not fully aware of. I’ve been thinking a lot about how I can learn to predict talent better, and that’s exactly what I’ve been working on for the last few weeks while away.
I’m building a long-term player development database that moves way beyond one-off match reports or first impressions. It’s designed to log consistent scouting observations and track real outcomes over time, so I can start to spot meaningful links between early traits and future growth.
Crucially, I’m setting it up to track different types of players separately:
✅ Clear standout players
✅ Those I believe will be late developers
✅ High variance players: inconsistent but with real upside
✅ Smaller, technically excellent players who often get overlooked early
Overtime, I’ll use AI to scan the whole database, comparing my initial predictions against actual long-term outcomes. This will help uncover consistent patterns across thousands of reports based on the FA 4 corner model and build a system that gets smarter at predicting potential playing level, especially for those different player profiles.
The framework is all set up and ready to start filling. It’s a long game, but that’s exactly the point.
Im aiming to enter 5-10 players every week for the next few years so busy times ahead.
