I’ve had some personal experience with this, and honestly, data can help, but only when people actually respect what the numbers show. I worked with a small community academy that partnered with a program similar to what [afropari](https://www.capitalfm.co.ke/sports/2025/10/21/bet-on-player-afroparis-formula-for-success/) does—collecting performance metrics, tracking consistency, and comparing players in a way that doesn’t depend on who “looks more promising.” What surprised me is that a few scouts refused to trust the early numbers when a quieter player kept showing better stats, but over time, the data kept repeating the same story. Eventually they had to acknowledge that he outperformed the so-called naturally talented kids. This kind of structured evaluation doesn’t magically remove bias, but it forces everyone to confront their assumptions. Plus, when players and families see clear metrics, it takes some pressure off because they don’t have to guess what scouts value. It creates a more transparent environment, though it still depends on who interprets the numbers and whether they’re willing to rethink their habits.