Are the Timberwolves Better with LaMelo Ball? We Simulated 100 Games To Find An Answer

Minnesota just rewired its backcourt. The Timberwolves acquired LaMelo Ball and Josh Green from Charlotte in exchange for Naz Reid, a 2033 first-round pick, three pick swaps, and three second-rounders.

On paper, it’s a star-for-depth-and-picks swap. LaMelo brings elite playmaking and flair. Naz Reid brought microwave scoring off the bench. The question Minnesota fans are asking:

Are the Timberwolves actually better?

We put the new roster to the test using the MyGameSim API and our NBA Game Simulator. Same opponent. Same season. Neutral court. The only variable: whether LaMelo and Green are on Minnesota.

The Trade

The Setup

We built a What If roster for the 2026 Minnesota Timberwolves with LaMelo Ball and Josh Green added (and Naz Reid removed), then ran 100 full-game simulations against the 2026 New York Knicks — a top-tier Eastern Conference test case.

• Matchup: New York Knicks vs. Minnesota Timberwolves (2026 rosters)
• Simulations: 100 per scenario
• Home-court advantage: Off (neutral floor)
• Control: Stock 2026 Timberwolves roster
• Test: Custom Wolves roster with LaMelo Ball + Josh Green

Head-to-Head: Stock Wolves vs. LaMelo Wolves (100 sims each)

What the numbers say: Adding LaMelo Ball lifts Minnesota’s scoring from 109.4 to 111.6 points per game against the Knicks. That’s a real bump — roughly +2.2 PPG. But New York’s output also ticks up (120.0 → 122.0), so the average margin barely moves (−10.6 to −10.3). Win rate is essentially flat: 29% baseline vs. 28% with LaMelo. Against an elite opponent, the trade looks like a modest offensive upgrade, not a roster transformation.

LaMelo Ball in a Wolves Uniform: Sim Box Score Profile

Across all 100 What If simulations, LaMelo Ball averaged the following for Minnesota. He appeared in all 100 box scores on the What If roster and zero times on the baseline Wolves — confirming the API applies the custom roster on Minnesota’s side only.

That’s a legitimate second-option profile: nearly 15 points and almost 5 assists per game in the sim. Josh Green slots in as a role piece (2.3 PPG, 1.5 RPG across 100 games).

The cost shows up elsewhere on the stat sheet:

• Naz Reid averaged 13.4 PPG and 5.2 RPG on the baseline roster — and 0 appearances after the trade in the What If run.
• Anthony Edwards dips from 23.2 to 21.7 PPG as usage redistributes to LaMelo.
• Julius Randle moves from 16.7 to 13.3 PPG in the What If sample.

Minnesota trades Reid’s bench scoring for LaMelo’s creation. The sim says that’s roughly a wash against New York — with a slight net positive on total Wolves points, but not enough to flip outcomes.

So… Are the Timberwolves Better?

Marginally on offense. Not meaningfully on results vs. the Knicks.

Against a top Eastern Conference team on a neutral floor, the LaMelo Ball Timberwolves score more but don’t win more. The sim’s answer to “did Minnesota get better?” is a qualified yes on points, no on wins — at least in this 100-game sample against New York.

What the trade does buy Minnesota, according to the model:

• A proven primary playmaker (4.7 APG) to run offense when Ant Edwards is off the ball
• +2.2 points per game in a tough matchup
• A clearer top-of-the-key identity — two stars instead of a star-plus-bench-scorer structure

What it costs, in this sim:

• Naz Reid’s 13+ PPG off the bench
• A tick of Edwards’ and Randle’s scoring volume
• Draft capital (2033 1st, swaps, seconds) that no box score captures

Caveats worth keeping in mind:

• This is one opponent (the Knicks). Softer matchups might tell a different story.
• The sim uses projected 2026 stats — real fit, health, and playoff intensity aren’t modeled.
• Charlotte’s side of the deal (Reid + picks) isn’t simulated here.

But if you’re asking strictly “does adding LaMelo Ball make the Timberwolves score more?” — the sim says yes. If you’re asking “does it make them beat elite teams more often right away?” — not in this sample.

Run Your Own Knicks vs. Wolves Sim →