MIL

2025-26 Season

OUSMANE DIENG

Milwaukee Bucks | Forward | 6-9
Ousmane Dieng
7.0 PPG
2.8 RPG
2.0 APG
17.9 MPG
-2.1 Impact

Dieng produces at an below average rate for a 18-minute workload.

NET IMPACT BREAKDOWN
Every stat, every credit, every cost — per game average
-2.1
Scoring +3.8
Points 7.0 PPG × +1.00 = +7.0
Missed 2PT 1.8/g × -0.78 = -1.4
Missed 3PT 1.9/g × -0.87 = -1.7
Missed FT 0.1/g × -1.00 = -0.1
Creation +1.9
Assists 2.0/g × +0.50 = +1.0
Off. Rebounds 0.7/g × +1.26 = +0.9
Turnovers -1.9
Turnovers 1.0/g × -1.95 = -1.9
Defense -0.1
Steals 0.4/g × +2.30 = +0.9
Blocks 0.3/g × +0.90 = +0.3
Def. Rebounds 2.1/g × +0.30 = +0.6
Fouls Committed 2.5/g × -0.75 = -1.9
Hustle & Effort +1.8
Contested Shots 3.8/g × +0.20 = +0.8
Deflections 1.0/g × +0.65 = +0.7
Loose Balls 0.2/g × +0.60 = +0.1
Screen Assists 0.2/g × +0.30 = +0.1
Off. Fouls Drawn 0.0/g uncredited × +2.70 = +0.1
Raw Impact +5.5
Baseline (game-average expected) −7.6
Net Impact
-2.1
19th 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

SKILL DNA

Percentile rank vs 227 Forwards with 10+ games

Scoring 42th
8.0 PPG
Efficiency 20th
51.5% TS
Playmaking 66th
2.2 APG
Rebounding 28th
3.2 RPG
Rim Protection 30th
0.12/min
Hustle 29th
0.09/min
Shot Creation 50th
0% pullup
TO Discipline 28th
0.06/min

THE SEASON SO FAR

Ousmane Dieng spent the opening stretch of the 2025-26 season battling a severe offensive slump defined by extreme passivity and hesitant decision-making. His struggles were painfully obvious during a brutal -8.0 impact performance vs IND on 10/23, where he tanked his rating by missing every perimeter look he took and offering zero scoring threat. Even when he managed to generate points, hidden costs frequently ruined his night. He scored 10 points vs LAL on 11/12 by finding a comfortable rhythm attacking closeouts, but still posted a poor -3.4 impact because a dismal -2.2 defensive score dragged down his overall value. He finally snapped out of his funk vs UTA on 12/07, logging 26 minutes and posting a stellar +4.1 impact score. That rare bright spot was driven entirely by blistering perimeter efficiency, as he buried four three-pointers to heavily inflate his offensive metrics. Unfortunately, those aggressive flashes were entirely too scarce. For a fringe rotation player desperately needing to carve out a permanent role, floating around the arc and shrinking from physical contact simply will not cut it.

This stretch of the season was a chaotic rollercoaster defined by maddening inconsistency. Dieng reached his absolute ceiling during the 02/12 vs OKC matchup, posting 19 points, 11 rebounds, and six assists. He earned a massive +10.8 impact score that night because his highly efficient perimeter scoring was perfectly paired with elite defensive metrics. However, those flashes of two-way dominance vanished once he stepped into a starting role in March. Look at the 03/04 vs ATL game. He scored 14 points, yet still posted a disastrous -9.4 impact score. That brutal rating was driven entirely by hidden costs, specifically poor shot selection and defensive lapses that conceded easy baskets. He had already exposed his terrifying floor on 02/22 vs TOR, logging zero points and a -14.4 impact mark due to a complete offensive blackout.

IMPACT TIMELINE

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

PATTERNS

Inconsistent. Dieng has clear good-night/bad-night splits, with scoring swinging ~7 points between games. You're never quite sure which version shows up.

Middle-of-the-road efficiency — shoots 45%+ from the field in 52% of games. Not automatic, but not a problem either.

Good defender on his best nights, but it comes and goes. Some games Dieng locks in defensively, others he gets picked apart.

Small downward trend. First-half impact: -0.9, second-half: -3.3. Not alarming yet, but trending the wrong direction.

Tends to go on runs. Longest hot streak: 3 games. Longest cold streak: 9 games.

MATCHUP HISTORY

Based on 67 games with tracking data. Shows who guarded this player on offense and who he guarded on defense, with their shooting stats in those matchups.

ON OFFENSE: WHO GUARDED HIM

His shooting stats against each primary defender this season

D. Booker 54.1 poss
FG% 57.1%
3P% 66.7%
PPP 0.18
PTS 10
T. da Silva 37.0 poss
FG% 33.3%
3P% 25.0%
PPP 0.14
PTS 5
J. Green 32.4 poss
FG% 33.3%
3P% 0.0%
PPP 0.06
PTS 2
C. Williams 30.8 poss
FG% 66.7%
3P% 50.0%
PPP 0.16
PTS 5
D. Vassell 28.1 poss
FG% 50.0%
3P% 0.0%
PPP 0.18
PTS 5
D. White 24.9 poss
FG% 50.0%
3P% 33.3%
PPP 0.2
PTS 5
J. Grant 24.9 poss
FG% 40.0%
3P% 0.0%
PPP 0.16
PTS 4
J. Johnson 24.7 poss
FG% 33.3%
3P% 0.0%
PPP 0.08
PTS 2
K. Leonard 24.6 poss
FG% 50.0%
3P% 100.0%
PPP 0.12
PTS 3
K. Filipowski 24.5 poss
FG% 62.5%
3P% 80.0%
PPP 0.57
PTS 14

ON DEFENSE: WHO HE GUARDED

How opponents shot when he was the primary defender. Lower FG% = better defense.

D. Booker 48.1 poss
FG% 23.1%
3P% 50.0%
PPP 0.15
PTS 7
J. Green 46.1 poss
FG% 27.3%
3P% 0.0%
PPP 0.17
PTS 8
A. Bailey 34.1 poss
FG% 50.0%
3P% 33.3%
PPP 0.15
PTS 5
C. Williams 29.9 poss
FG% 33.3%
3P% 0.0%
PPP 0.13
PTS 4
K. Filipowski 29.0 poss
FG% 71.4%
3P% 0.0%
PPP 0.34
PTS 10
D. Avdija 27.9 poss
FG% 16.7%
3P% 0.0%
PPP 0.14
PTS 4
D. Bane 26.3 poss
FG% 83.3%
3P% 100.0%
PPP 0.53
PTS 14
T. da Silva 25.9 poss
FG% 25.0%
3P% 0.0%
PPP 0.08
PTS 2
K. Leonard 25.1 poss
FG% 40.0%
3P% 33.3%
PPP 0.24
PTS 6
K. Jakučionis 20.9 poss
FG% 33.3%
3P% 0.0%
PPP 0.14
PTS 3

SEASON STATS

52
Games
7.0
PPG
2.8
RPG
2.0
APG
0.4
SPG
0.3
BPG
42.5
FG%
36.7
3P%
75.9
FT%
17.9
MPG

GAME LOG

52 games played