And somehow, it raised more interesting questions than answers 🤪 — which is exactly what we want here.
And at one point it felt like he predicted Magdeburg losing a game on 7m 😅
But actually, it just shows how powerful data can be when you understand patterns.
A few thoughts that stayed with us:
- Are we maybe overvaluing simple stats like goals?
- Do we really look at shot quality — or just outcomes?
- How often do we adjust our game based on our strengths… instead of copying others?
One key takeaway:
👉 Data should help us reflect — not make things more complicated
And also:
👉 The biggest value is before and after the game, not during
We’d love to hear from you:
💬 What do you already track with your team?
💬 Where do you feel data could help you more?
Let’s use this space to exchange ideas — that’s what this community is about 🤝