CLE

2025-26 Season

NAE'QWAN TOMLIN

Cleveland Cavaliers | Forward | 6-8
Nae'Qwan Tomlin
5.6PPG
2.8RPG
0.8APG
14.9MPG
-4.9 Impact

Tomlin produces at an below average rate for a 15-minute workload.

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IMPACT BREAKDOWN
Every stat, every credit, every cost — per game average
-4.9
Scoring +4.4
Points Scored 5.6 PPG = +5.6
Missed Shots difficulty-adjusted = -2.1
Shot Making above expected FG% = +0.9
Creation +0.5
Assists & Self-Creation 0.8 AST/g + self-creation = +0.5
Turnovers -1.1
Turnovers 0.4/g (live + dead blend) = -1.1
Hustle & Effort +2.8
Rebounds 2.8 RPG (OREB + DREB) = +1.1
Contested Shots 2.2/g = +0.4
Deflections 1.6/g = +1.0
Charges Drawn 0.0/g = +0.0
Loose Balls 0.3/g = +0.2
Screen Assists 0.4/g = +0.1
Raw Impact +6.6
Baseline (game-average expected) −11.5
Net Impact
-4.9
17th 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 27th
6.4 PPG
Efficiency 22th
51.8% TS
Playmaking 18th
0.9 APG
Rebounding 29th
3.2 RPG
Defense 21th
+4.9/g
Hustle 74th
+15.2/g
Creation 41th
+2.14/g
Shot Making 43th
+5.33/g
TO Discipline 92th
0.03/min

THE SEASON SO FAR

Nae'Qwan Tomlin’s first 22 games were defined by maddening volatility, swinging wildly between hyper-efficient bench sparks and hollow volume shooting. He looked like a genuine rotation steal during the 11/14 vs TOR matchup, pouring in 18 points on a blistering 8-of-10 from the floor to post a massive +13.3 Impact. Yet, when Tomlin tried to force his own offense, the hidden costs piled up quickly. Take the 12/20 vs CHI game, where he managed 15 points but needed 14 shot attempts to get there, resulting in a -1.7 Impact because of his erratic shot selection and empty offensive volume. Conversely, he found ways to be highly effective without scoring during the 12/07 vs GSW tilt. Despite a miserable 3-of-10 shooting night for just 6 points, Tomlin relentlessly crashed the glass to grab 12 rebounds in only 16 minutes, earning a +3.8 Impact through pure blue-collar hustle. If he wants to survive in a permanent NBA rotation, he must consistently channel that raw energy instead of relying on a streaky jumper.

Nae'Qwan Tomlin spent the middle of the 2025-26 season battling a brutal inconsistency slump off the bench. He struggled to translate his raw athletic tools into reliable rotational value. He occasionally found ways to tilt the floor without hunting shots, like his gritty performance on 01/22 vs CHA. Despite scoring just 6 points, Tomlin crashed the glass for 9 rebounds to earn a +7.0 Impact score. Yet, that hustle routinely vanished in other matchups. Look at his 01/25 vs ORL outing, where he tallied 9 points and 4 assists but bled points on the other end, generating a dismal -10.2 Impact score because he grabbed a single rebound in 25 minutes of action. He finally put the pieces together on 01/30 vs PHX, pouring in 14 points on 6-of-9 shooting for a +8.6 Impact score. That aggressive rim-running and decisive shot selection offered a fleeting glimpse of the dynamic threat he could be if he simply sustained his motor.

This brutal late-season stretch was defined by absolute offensive futility and bleeding value off the bench, right up until a shocking spot start flipped the script. Tomlin was practically unplayable during the 02/25 vs MIL matchup, posting a dismal -16.8 Impact score as he forced up bad shots and went 1-for-4 from the field in just nine minutes. His total inability to space the floor made him a massive liability in the rotation. Even when he managed to find the basket, the hidden costs of his erratic shot selection dragged his team down. During a nine-point outing on 03/31 vs LAL, he bricked four of his five three-point attempts, stalling the offense and earning a -6.5 Impact score despite the minor scoring bump. Then, out of nowhere, he drew a start on 04/12 vs WAS and erupted for 26 points, eight rebounds, and five assists. He generated a massive +20.4 Impact score in that contest simply by finally hitting his open looks from deep and keeping the ball moving.

IMPACT TIMELINE

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

PATTERNS

Struggling. Tomlin has posted negative impact in 76% of games this season. The production rarely outweighs the cost.

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 Tomlin locks in defensively, others he gets picked apart.

Small downward trend. First-half impact: -3.8, second-half: -6.0. Not alarming yet, but trending the wrong direction.

Tends to go on runs. Longest hot streak: 3 games. Longest cold streak: 17 games.

MATCHUP HISTORY ⚠ Updated 46 days ago

Based on 72 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

P. Banchero 36.5 poss
FG% 0.0%
3P% 0.0%
PPP 0.0
PTS 0
N. Reid 25.8 poss
FG% 100.0%
3P% 0.0%
PPP 0.08
PTS 2
W. Riley 23.0 poss
FG% 0.0%
3P% 0.0%
PPP 0.0
PTS 0
J. Huff 22.3 poss
FG% 0.0%
3P% 0.0%
PPP 0.0
PTS 0
J. Walker 21.7 poss
FG% 0.0%
3P% 0.0%
PPP 0.0
PTS 0
R. Kalkbrenner 20.1 poss
FG% 0.0%
3P% 0.0%
PPP 0.0
PTS 0
B. Ingram 20.1 poss
FG% 100.0%
3P% 0.0%
PPP 0.1
PTS 2
P. Siakam 19.4 poss
FG% 25.0%
3P% 0.0%
PPP 0.1
PTS 2
J. Smith 17.6 poss
FG% 66.7%
3P% 100.0%
PPP 0.4
PTS 7
M. Buzelis 17.5 poss
FG% 33.3%
3P% 0.0%
PPP 0.17
PTS 3

ON DEFENSE: WHO HE GUARDED

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

P. Siakam 32.2 poss
FG% 28.6%
3P% 0.0%
PPP 0.12
PTS 4
B. Miller 25.8 poss
FG% 25.0%
3P% 33.3%
PPP 0.12
PTS 3
J. Walker 25.6 poss
FG% 60.0%
3P% 50.0%
PPP 0.27
PTS 7
B. Brown 23.1 poss
FG% 0.0%
3P% 0.0%
PPP 0.0
PTS 0
W. Riley 21.5 poss
FG% 0.0%
3P% 0.0%
PPP 0.23
PTS 5
P. Banchero 21.3 poss
FG% 50.0%
3P% 0.0%
PPP 0.28
PTS 6
N. Batum 20.8 poss
FG% 0.0%
3P% 0.0%
PPP 0.0
PTS 0
J. Grant 20.5 poss
FG% 0.0%
3P% 0.0%
PPP 0.0
PTS 0
B. Ingram 19.4 poss
FG% 75.0%
3P% 66.7%
PPP 0.72
PTS 14
S. Barnes 18.7 poss
FG% 50.0%
3P% 0.0%
PPP 0.37
PTS 7

SEASON STATS

68
Games
5.6
PPG
2.8
RPG
0.8
APG
0.6
SPG
0.5
BPG
47.9
FG%
23.5
3P%
77.0
FT%
14.9
MPG

GAME LOG

68 games played