NBA stats can tell you a lot about a player. But they can also make things complicated very quickly.

Who had the better season? The player averaging 30 points a game? The guard putting up 10 assists? The big man grabbing everything off the glass and protecting the rim?

Usually the answer depends on which stat you decide to look at.

That's exactly why we created the Lean Edge Score.

The idea was pretty simple. We wanted one rating that gave us a quick way of looking at a player's overall numbers, without pretending points were the only thing that mattered.

So the Lean Edge Score looks at five of the biggest stats we all use when judging a player's season: points, rebounds, assists, steals and blocks.

Put them together and every player gets a score from 0–100.

So what does the score actually mean?

It isn't just a case of adding the five stats together.

The score looks at a player's numbers compared with the rest of the league that season. That's important because the NBA changes. Scoring changes, styles change and what counts as an exceptional season changes too.

It means the Lean Edge Score is really answering a simple question:

How much does this player's overall production stand out compared with everyone else playing that season?

We also don't want someone playing a handful of brilliant games suddenly sitting at the top of the rankings.

A player has to play at least 20 games before we give them a performance tier.

Once they qualify, you'll see ratings such as Elite, Excellent, Solid and Average alongside their Lean Edge Score.

Why those five stats?

Because players don't all do the same job.

Some players score. Some create. Some dominate the boards. Some make their biggest mark defensively.

Points matter, obviously. But if we only looked at scoring, we'd be ignoring a huge part of basketball.

Rebounds, assists, steals and blocks give us a much broader picture of what a player has actually been producing.

And sometimes that's where it gets interesting.

You might see a player much higher in our rankings than you expected. Or somebody lower than you thought they would be.

That's not necessarily a mistake. It's usually a reason to look at the numbers.

Is the highest Lean Edge Score automatically the best player in the NBA?

No.

And we don't want to pretend it is.

There are things a box score simply can't tell you properly.

Defensive positioning. Off-ball movement. Screens. Spacing. The role a coach has given someone. Who they're guarding every night. What their team actually needs them to do.

Basketball is far too complicated to squeeze absolutely everything into one number.

The Lean Edge Score is another way of looking at the argument, not a way of ending it.

And to be fair, half the fun of basketball is disagreeing about this stuff anyway.

Why did we build it?

Because this is the sort of thing we wanted when looking at NBA stats ourselves.

We didn't want Lean Edge Sports to just be pages and pages of numbers.

We wanted to be able to look at a player, see a score, wonder why they've got it, and then dig into the stats.

If two players are close, compare them.

If somebody's score surprises you, look at what they're doing differently.

If you completely disagree with it, even better. That's a basketball conversation waiting to happen.

We're not trying to replace traditional NBA stats.

We're trying to make them easier and more interesting to explore.

That's what the Lean Edge Score is for.

The number isn't the answer. It's where you start looking.