MIL

2025-26 Season

OUSMANE DIENG

Milwaukee Bucks | Forward | 6-9
Ousmane Dieng
7.6PPG
3.2RPG
2.4APG
19.3MPG
-4.3 Impact

Dieng produces at an below average rate for a 19-minute workload.

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IMPACT BREAKDOWN
Every stat, every credit, every cost — per game average
-4.3
Scoring +6.4
Points Scored 7.6 PPG = +7.6
Missed Shots difficulty-adjusted = -3.1
Shot Making above expected FG% = +1.9
Creation +0.6
Assists & Self-Creation 2.4 AST/g + self-creation = +0.6
Turnovers -3.1
Turnovers 1.3/g (live + dead blend) = -3.1
Defense -0.4
Steals 0.4/g = +0.9
Blocks 0.3/g = +0.3
Fouls + context committed fouls, matchup adj = -1.6
Hustle & Effort +2.2
Rebounds 3.2 RPG (OREB + DREB) = +0.7
Contested Shots 3.5/g = +0.7
Deflections 0.9/g = +0.6
Charges Drawn 0.0/g = +0.0
Loose Balls 0.2/g = +0.1
Screen Assists 0.2/g = +0.1
Raw Impact +5.7
Baseline (game-average expected) −10.0
Net Impact
-4.3
24th pctl vs Forwards

PBP Credit: Every play is analyzed from play-by-play data. Scorers get difficulty-adjusted credit, assisters get creation value based on the shot opportunity they created, and turnovers are classified by type. Shot difficulty is derived from 1M+ shots across 4 seasons. Full methodology

SKILL DNA

Percentile rank vs 235 Forwards with 10+ games

Scoring 46th
8.6 PPG
Efficiency 16th
50.2% TS
Playmaking 76th
2.6 APG
Rebounding 38th
3.6 RPG
Defense 73th
+8.9/g
Hustle 47th
+11.7/g
Creation 71th
+3.12/g
Shot Making 69th
+7.12/g
TO Discipline 18th
0.07/min

THE SEASON SO FAR

Ousmane Dieng spent the first stretch of the 2025-26 season as an offensive ghost, logging empty minutes that actively harmed his team's rotation. The miserable tone was set immediately on 10/23 vs IND. He sleepwalked through 15 minutes to produce zero points on 0-for-3 shooting, resulting in a disastrous -14.9 Impact score because his passive approach and total lack of playmaking generated absolutely no value on the floor. Even when given an extended 20-minute runway on 11/12 vs GSW, Dieng clanked his way to a dismal 1-for-5 from the field. That outing yielded a -7.9 Impact score, as his poor shot selection completely negated any minor hustle plays on the other end. He finally found a fleeting rhythm on 12/08 vs UTA, pouring in 14 points on blistering 4-of-5 shooting from deep. That rare outburst earned him a +5.9 Impact score, driven entirely by sudden perimeter gravity that finally gave the second unit some much-needed breathing room.

Ousmane Dieng’s midseason stretch was defined by maddening inconsistency, wildly oscillating between brilliant utility performances and completely invisible bench shifts. When handed a starting role on 02/12 vs OKC, he finally put all the pieces together. He erupted for 19 points, 11 rebounds, and six assists, generating a massive +19.6 Impact score by dominating the glass and orchestrating the offense with rare efficiency. He offered a similar all-around spark off the bench on 01/25 vs DAL, where his 10 rebounds and five assists fueled a +9.9 Impact despite modest scoring. Yet, these tantalizing highs were constantly derailed by games where he actively hurt the team. His disastrous outing on 02/22 vs TOR perfectly captured this floor. Dieng missed every shot he took and failed to record a single assist, suffering a brutal -18.4 Impact score because his total lack of offensive creation left his unit stranded.

This late-season stretch was defined by maddening inconsistency, as Ousmane Dieng toggled wildly between offensive centerpiece and inefficient liability. The peak of his erratic usage arrived on 04/01 vs HOU, where he logged 45 minutes and poured in 36 points alongside 10 assists. He needed a staggering 31 shot attempts to get there, but the sheer volume of his playmaking engine generated a massive +21.1 Impact. However, his high-volume habits often carried heavy hidden costs. During the 03/25 vs POR matchup, Dieng scored 16 points but posted a dismal -5.8 Impact because he forced 17 shots and bricked four threes to reach that total. Conversely, he was much more effective when he stopped hunting his own shot. On 03/10 vs PHX, he managed only 12 points, yet his efficient 5-for-8 shooting and relentless effort to grab 10 rebounds fueled a stellar +10.2 Impact. He clearly has the physical tools to dominate, but his erratic shot selection makes him a dangerous gamble on any given night.

IMPACT TIMELINE

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

PATTERNS

Struggling. Dieng has posted negative impact in 75% of games this season. The production rarely outweighs the cost.

Middle-of-the-road efficiency — shoots 45%+ from the field in 47% 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.

Getting better as the season goes on. First-half impact: -5.9, second-half: -2.7. That's a significant jump — could be a role change, confidence, or development clicking.

Tends to go on runs. Longest hot streak: 2 games. Longest cold streak: 15 games.

MATCHUP HISTORY ⚠ Updated 46 days ago

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

57
Games
7.6
PPG
3.2
RPG
2.4
APG
0.4
SPG
0.3
BPG
42.2
FG%
34.1
3P%
71.1
FT%
19.3
MPG

GAME LOG

57 games played