2025-26 Season

JOAN BERINGER

Minnesota Timberwolves | Forward | 6-11

2025-26 Season

JOAN BERINGER

Minnesota Timberwolves | Forward | 6-11 | Yr 0

2.9 PPG

1.9 RPG

0.2 APG

6.5 MPG

+1.6 Impact

Beringer produces at an above average rate for a 6-minute workload.

NET IMPACT BREAKDOWN

Every stat, every credit, every cost — per game average

+1.6

Scoring +2.2

Points 2.9 PPG × +1.00 = +2.9

Missed 2PT 0.7/g × -0.78 = -0.5

Missed 3PT 0.0/g × -0.87 = -0.0

Missed FT 0.2/g × -1.00 = -0.2

Creation +0.7

Assists 0.2/g × +0.50 = +0.1

Off. Rebounds 0.5/g × +1.26 = +0.6

Turnovers -0.4

Turnovers 0.2/g × -1.95 = -0.4

Defense -0.9

Steals 0.1/g × +2.30 = +0.2

Blocks 0.4/g × +0.90 = +0.4

Def. Rebounds 1.4/g × +0.30 = +0.4

Fouls Committed 2.5/g × -0.75 = -1.9

Hustle & Effort +0.9

Contested Shots 2.5/g × +0.20 = +0.5

Deflections 0.3/g × +0.65 = +0.2

Loose Balls 0.1/g × +0.60 = +0.1

Screen Assists 0.5/g × +0.30 = +0.1

Raw Impact +2.5

Baseline (game-average expected) −0.9

Net Impact

+1.6

71st pctl vs Forwards

About this model: Net Impact can't measure floor spacing, help defense rotations, or playmaking gravity — so wings and guards are slightly undervalued vs bigs. How Net Impact works

TEAM COMPARISON

Impact

Offense

Hustle

Defense

of 13 teammates (10+ games, 10+ min)

Rudy Gobert +6.2 Anthony Edwards +5.0 Julius Randle +1.9 Naz Reid +1.4 Jaden McDaniels +0.2 Ayo Dosunmu -0.1 Bones Hyland -0.6 Jaylen Clark -1.0 Donte DiVincenzo -1.5 Kyle Anderson -1.9 Terrence Shannon Jr. -2.5 Mike Conley -2.9 Rob Dillingham -3.4

SKILL DNA

Percentile rank vs 227 Forwards with 10+ games

Scoring 10th

4.3 PPG

Efficiency 35th

54.8% TS

Playmaking 2th

0.4 APG

Rebounding 29th

3.2 RPG

Rim Protection 48th

0.14/min

Hustle 50th

0.10/min

Shot Creation 50th

0% pullup

TO Discipline 73th

0.04/min

THE SEASON SO FAR

Joan Beringer's first twenty games of the 2025-26 season were defined by a sudden mid-winter breakout, transforming him from a garbage-time afterthought into a highly efficient interior wrecking ball. Early on, his eagerness often betrayed him. Look at 11/07 vs UTA, where his perfect shooting still yielded a -1.9 impact score because of a disastrous tendency to foul jump shooters. But something clicked in January. On 01/10 vs CLE, he crammed six points into just three minutes, generating an absurd +9.5 impact score simply by exploiting a sleeping interior defense. That explosive cameo earned him a real rotation spot on 01/17 vs SAS, where he posted 10 points and 8 rebounds in 23 minutes. His massive +12.2 impact score in that contest stemmed directly from excellent weak-side defensive anchoring and hyper-efficient finishing around the rim. When he stops committing careless fouls and sticks strictly to rim deterrence and dunker-spot finishes, Beringer is a genuinely disruptive force.

IMPACT TIMELINE

Game-by-game performance vs average. Green = above average, red = below.

Best Game

10 PTS vs SAS

Jan 18 | +11.8 impact

Worst Game

7 PTS vs PHI

Feb 22 | -3.4 impact

PATTERNS

Typical consistency. Beringer is positive more often than not (51% of games) with scoring varying ~3 points from the average.

Average defender. Beringer doesn't hurt you defensively, but he's not making opponents uncomfortable either.

Flat trajectory all season — first-half impact +1.8, second-half +1.4. No major shifts, which fits with the overall steadiness.

MATCHUP HISTORY

Based on 65 games with tracking data. Shows who guarded this player on offense and who he guarded on defense, with their shooting stats in those matchups.