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Player profile · CLE

Nae'Qwan Tomlin

Nae'Qwan Tomlin advanced stats and career rankings

RolePF · Age 25
Availability64 games · 3 starts
Workload15.7 MPG · 1,004 minutes
Relative impactCLE #10 of 11 · PF #56 of 76
UpdatedJul 21, 2026
EvidenceEstablished

Low ranking precision · Likely rank #95–#362

Bottom line · 2025–26

In 2025–26, Nae'Qwan Tomlin ranked 272nd in per-minute impact. His box-score profile ranked 301st, led by elite ball security despite below-average scoring efficiency. Over about 1,000 minutes, he finished in the 32nd percentile for total season value.

2025–26 NBA percentile rankings: What drives Nae'Qwan Tomlin's impact

395 qualified NBA playersEvery player in the comparison logged at least 450 minutes.
Compare with

Overall value

Impact Rate
31
23.0
Season Value
32
-0.9

Scoring role

Usage
26
15.5%
True shooting
29
54.9%
3-point attempt rate
36
36.6%
Free-throw rate
32
19.4%

Creation and control

Assist rate
10
7.0%
Turnover avoidance
94
7.8%

Possession stats

Rebound rate
61
10.2%
Steal rate
75
2.0%
Block rate
84
3.2%

Lineup signal

Offensive lineup impact387-player lineup pool
38
−0.21
Defensive lineup impact387-player lineup pool
71
+0.77

Workload

Minutes per game
16
15.7
Games played
53
64
Total minutes
29
1,004

Farther right means more of the named trait, not automatically better basketball. Turnover avoidance reverses turnover rate. Lineup rows exclude players below the 1,000-possession lineup-sample floor.

Every season

Nae'Qwan Tomlin advanced stats by season

Era-centered box impact supports comparisons through time. Impact Rate and its rank compare players only within that season.

SeasonTeamAgeGPMPEra-centered box impactImpact RateRate rankSeason ValueValue percentileEvidence
2025–26live modelCLE25641,004-1.9523.0#272-0.932ndEstablished
2024–25CLE24563-11.58-12.5Limited

Career movement

Nae'Qwan Tomlin's career impact by season

Peak -1.95 in 2025–26 · 2 seasons · 1,067 minutes

The same historical box-score model is used for every season, making the career shape comparable through time. This is separate from the current lineup-context ranking.

Era-centered box impactMinutes
Across-era box estimateWorkload

Early-career comparison

Compare the first 2 seasons

Only the first 2 NBA seasons are compared, so this is a similarity of starts—not a prediction of the full career.

Nae'Qwan TomlinCharles Pittman

NBA season number · fixed impact axis −5 to +15

Similar starts

Players with starts similar to Nae'Qwan Tomlin

The score compares the first 2 seasons by impact, workload, position, and trajectory. It does not claim the careers will finish alike.

Why this rank?

Why Nae'Qwan Tomlin ranks #272

The current model starts with box production, checks it against multi-season lineup evidence, caps that correction, then accounts for how many minutes the player was trusted to play each game.

01 · Box-score prior-0.07

Prior rank #301

02 · Multi-season RAPM+0.06

Current total +0.06 ±1.0
Split model · O -0.21 · D +0.77 = +0.56

03 · Bounded correction+0.06

Maximum ±0.75

04 · Model estimate-0.02

Before the within-season scale

05 · MPG-adjusted rate23.0

23.0 unadjusted · 84% role factor · rank #272

RAPM estimates lineup impact while controlling for the other nine players on the floor. The multi-season blend, current total model, and current offensive/defensive split are separate estimates, so they need not equal one another. hussEyquation uses the multi-season signal as a bounded correction, not as a standalone verdict.

What the point estimate meansLow precision

The model's 80% impact interval is -2.29 to +2.23. Exact ordering is difficult when many players have overlapping estimates.

Top 25 chance
0%
Top 50 chance
2%
Top 100 chance
11%
80% rank range
#95#362
How to read this page

Impact Rate shows how strong a player was compared with everyone else that season. Season Value adds how much he played. The career ranking rewards a high peak, a long prime, and repeated seasons near the top. Older seasons use clearly labeled estimates where the NBA did not record today's full set of statistics. Read how every ranking works →