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Daevon Nash

Daevon Nash

SG

Oakland Tritons · Secondary Creator / Wing Stopper

College: La Salle · Faucett, Missouri

Savvy 3-and-d wing

A solid shooting guard averaging 13.7 PPG, 4.6 RPG, 4.2 APG. Excels in stealing (20 rating, 100th pctl), isolation scoring (19 rating, 99th pctl) and floor spacing (19 rating, 99th pctl). Limited by post defense (2 rating, 15th pctl).

54
Impact
59
Future
5.0
CA
4.5
PA
23
Age
$25.0M
Salary
3.973
Bal WV

Skill Badges

(18)
O Iso Scorer (S) O Pull-Up Threat (S) O Floater Game (S) O Shot Creator (S) O Speed Demon (B) O Gravity Generator (B) O Slasher (B) O Catch & Shoot (B) O Pop Threat (B) O Lob Threat (B) O Sniper (B) O PnR Maestro (B) O Ankle Breaker (B) D Help Defender (S) D Interceptor (S) D Pick Dodger (B) D Clamps (B) D Rim Eraser (B)
Malik Monk
NBA Comparison
Malik Monk
2024-25
79%
Style
79%
Level
6'3" · 200lbs
15.0/3.0/4.5 (PPG/RPG/APG)
Alt comp
Christian Braun
2024-25 · 72%
2050 Projection
Peak Ridge: 15.8
Stage: Developing
Peak Age: 29 (8yr away)
Future Value: 59
Stat Value Pctl
Per Game
PPG 13.7 73
RPG 4.6 68
APG 4.2 83
SPG 1.7 93
BPG 0.3 48
MPG 31.7 84
Shooting
FG% 0.437 31
3P% 0.35 50
FT% 0.858 67
TS% 0.557 35
Impact
Impact 54 66
Off Impact 56 72
Def Impact 49 49
Advanced
Player Efficiency Rating 14.7 53
WS 5.5 80
Box Score Impact 0.8 59
Value Over Replacement 1.8 74
Positional BSI 2.77 -1.97

Strengths & Weaknesses (Win Model)

Strengths
On-Ball Perimeter Defense 19 (coef=0.0330)
Defensive Rebounding 17 (coef=0.0226)
Spacing 19 (coef=0.0196)
Stealing 20 (coef=0.0145)
Inside Shooting 17 (coef=0.0155)
Weaknesses
Post Defense 2 (coef=0.0333)
Passing 10 (coef=0.0156)
Playmaking 9 (coef=0.0101)
Athleticism 11 (coef=-0.0094)
Post Execution 4 (coef=0.0074)

Expected vs Actual Production

Stat Actual Expected Delta
PPG 13.7 19.5 -5.8
RPG 4.6 5.9 -1.3
APG 4.2 2.9 +1.3
SPG 1.7 1.6 +0.1
BPG 0.3 1.0 -0.7
TPG - 2.1
FG% 0.437 0.5 -0.0
3P% 0.35 0.3 +0.0
FT% 0.858 0.5 +0.4

Play Style

Driving Frequency
77:23%

Positional Fit

Guard 90%
Wing 90%
Big 80%

Player Impact Breakdown

Average score driven by strong Win Model Score. Elite ratings haven't translated to on-court impact.

54 / 100 #164 of 435
On-Court Impact — 60% weight -0.38z
On-Court Impact -0.89 (Off -0.21, Def -0.68)
Win-Model Ratings — 25% weight +1.01z
Win Model Score: 3.9558
Hidden Intangibles — 15% weight +0.00z
Hidden Rating Impact: +0.0000 (actual vs predicted from ratings)
Offense
56
#138
Defense
49
#247
Confidence
100%
2596 min
Position Model (SG)
Predicted Positional BSI: 2.77 Actual: 0.8 -1.97
Significantly underperforming SG model predictions

Future Value

Forward-looking complement to Impact Score — who will be valuable going forward, factoring in age, contract efficiency, and development trajectory.

59 / 100 #112 of 450
Cumulative Wins — 50% weight 70
Peak Ceiling — 20% weight 69
Contract Surplus — 30% weight 35
Future Value above current Impact (54) — trajectory is positive

League Percentile Profile

PPG
66
TS%
31
BPM
56
WS/48
49
RAPM
36
USG%
49
PA/100
18
BCI
68

Shot Quality

PA/100
-7.77
Points Added
-77.7
Selection
1.011
FGA
1000
Zone Breakdown
Above Break Three
34.9%
393 FGA (39%)
Short Midrange
35.6%
135 FGA (14%)
Rim
46.0%
424 FGA (42%)
Long Midrange
39.1%
46 FGA (5%)
Other
0.0%
2 FGA (0%)

Creation & Scoring Load

Box Creation
12.20
Load Tier
Below Average
Eff Delta
-1.9%
USG%
19.1%
Tendencies
Salary
$25.0M
Years Left
2
Expiry
2052
Option
Player Option
Status
-
Trade Value
0.498

Contract Breakdown

Season Salary Notes
2050-51 $25,000,000
2051-52 $25,000,000
Total Owed $50,000,000

Win Model Development

Win Model Score
3.956
Expected WM
3.441
Dev Residual
+0.5150
Peak Age
33
Peak Win Model
4.511
PA Tier
High
Upside Gap
-0.5
Dev Status
Ahead of Curve
Win Model Score = sum(rating × coefficient) from multi-season Ridge regression (n=393, 11 seasons, 12/32 stable coefficients). Defense and shooting dominate. Unbiased across positions.

Win Model Trajectory

Most Similar Players

Player Team Age CA Similarity Archetype
D
Dimitris Karras Charlotte Drones 20 4.0 96.5% Glue Guy / Chaser
I
Isaiah Harris Kansas City Knights 23 3.5 96.2% Secondary Creator / Wing Stopper
C
Chavis Weddle Salt Lake City Saints 26 4.0 95.8% Secondary Creator / Chaser
A
Adrian Schwartz Cleveland Giants 30 4.5 95.3% Secondary Creator / Chaser
M
Martynas Rutkauskas Charlotte Drones 23 3.0 95.3% Secondary Creator / Chaser

Predicted Archetype

Offensive
Defensive

Win Value Development

Stage
Developing
Peak Age
29
Peak Win Value
15.8
Years to Peak
8
Current Win Value
14.2
Confidence
LOW

Win Value Trajectory

Empirical Dev Curve (Multiverse)

Current WV
2.813
Projected Peak WV
3.133
Peak Age
29
Years to Peak
6
WV Growth
+0.320

Rating Trainability

Rating Current Growth/yr Class Peak Age
Foul Drawing 18 +1.23 High Growth 31
Help Defense 19 +0.66 High Growth 27
Off-Ball Defense 16 +0.55 High Growth 28
Ball Dominance 17 +0.55 High Growth 28
Gravity 18 +0.52 High Growth 29
Spacing 19 +0.45 High Growth 18
Post Execution 4 +0.40 High Growth 29
Playmaking 9 +0.40 High Growth 29
Stealing 20 +0.38 High Growth 19
Finishing 19 +0.37 High Growth 27
Defensive Rebounding 17 +0.37 High Growth 18
Offensive Rebounding 11 +0.36 High Growth 18
Strength 11 +0.35 High Growth 18
Pick & Roll Execution 18 +0.34 High Growth 18
Passing 10 +0.33 High Growth 18
Self-Creation 17 +0.32 High Growth 19
Isolation Execution 19 +0.32 High Growth 18
3PT Shooting 14 +0.31 High Growth 19
Ball Handling 13 +0.30 High Growth 19
On-Ball Perimeter Defense 19 +0.30 High Growth 18
Shoot Off Dribble 18 +0.28 Moderate Growth 18
Rim Protection 14 +0.26 Moderate Growth 18
Inside Shooting 17 +0.25 Moderate Growth 18
Post Defense 2 +0.17 Moderate Growth 18
Basketball IQ 16 +0.07 Low Growth 19
Endurance 12 +0.05 Low Growth 20
Speed 18 +0.01 Low Growth 18
Free Throws 17 +0.00 Unknown -
First Step 15 -0.01 Low Growth 18
Mid-Range Shooting 16 -0.03 Low Growth 19
Quickness 17 -0.08 Low Growth 19
Athleticism 11 -0.08 Low Growth 19
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