Everyone talks about analytics nowadays.

It’s almost impossible to have a conversation about basketball without the word coming up.

It sounds modern. It sounds smart. It sounds like control.

But most of the time, it’s neither.

Analytics is often used as decoration.
An observation gets wrapped in numbers to make it sound more complex than it actually is.

In reality, it should do the opposite.

Analytics is not there to complicate the game.
It is there to simplify it.

In many environments — even at a high level — analytics is either underused or misused.

Underused, because decisions are still made without clear reference points.

Misused, because it becomes a buzzword instead of a tool.

The question is simple:

To what extent does it actually influence decisions?

For me, analytics was never something separate from coaching.

I am a coach first.

Data is just a second lens.
Not to replace feel. Not to replace experience.

But to reduce blind spots.

If you strip the game down, it becomes almost uncomfortable in its simplicity.

You win when you achieve both:

• create more shots than your opponent
• take better shots than your opponent

That’s it.

The problem is not that the game is complex.

The problem is that we often make it more complex than it needs to be.

During the first half of the ACB season, I built a report around this idea.

Not to show more numbers.
But to show how a few clear structures consistently translate into better decisions.

Because when analytics is used well, it doesn’t give you more information.

It gives you clarity. Not complexity.

Download the full report here: