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Nicolas Deprez

Nicolas Deprez

SG

Baltimore Bullets · Secondary Creator / Wing Stopper

College: BYU · Jouy-en-Josas, France

Long two-way wing

An elite two-way shooting guard averaging 24.4 PPG, 5.3 RPG, 3.9 APG. Excels in stealing (19 rating, 99th pctl), floor spacing (19 rating, 99th pctl) and finishing (19 rating, 98th pctl). At just 23, has room to grow.

65
Impact
78
Future
5.0
CA
5.0
PA
23
Age
$25.0M
Salary
4.531
Bal WV

Skill Badges

(21)
O Floater Game (S) O Gravity Generator (S) O Shot Creator (S) O Catch & Shoot (S) O Floor General (S) O Sniper (S) O Pull-Up Threat (S) O Lob Threat (S) O Ankle Breaker (S) O Pop Threat (S) O Slasher (B) O PnR Maestro (B) O Posterizer (B) O Iso Scorer (B) D Help Defender (S) D Interceptor (S) D Pick Dodger (S) D Versatile Defender (B) D Clamps (B) D Paint Wall (B) D Charge Taker (B)
Franz Wagner
NBA Comparison
Franz Wagner
2024-25
68%
Style
68%
Level
6'10" · 220lbs
24.2/5.7/4.7 (PPG/RPG/APG)
Volume scorer Lockdown defender
Alt comp
Anthony Edwards
2024-25 · 67%
2050 Projection
Peak Ridge: 17.7
Stage: Developing
Peak Age: 29 (6yr away)
Future Value: 78
Stat Value Pctl
Per Game
PPG 24.4 98
RPG 5.3 75
APG 3.9 80
SPG 1.9 98
BPG 1.2 78
MPG 33.9 96
Shooting
FG% 0.457 44
3P% 0.357 53
FT% 0.813 47
TS% 0.554 34
Impact
Impact 65 90
Off Impact 54 65
Def Impact 73 95
Advanced
Player Efficiency Rating 19.2 91
WS 3.5 60
Box Score Impact 2.6 79
Value Over Replacement 2.9 89
Positional BSI 2.81 -0.21

Strengths & Weaknesses (Win Model)

Strengths
On-Ball Perimeter Defense 19 (coef=0.0330)
Post Defense 16 (coef=0.0333)
Spacing 19 (coef=0.0196)
3PT Shooting 17 (coef=0.0196)
Passing 19 (coef=0.0156)

Expected vs Actual Production

Stat Actual Expected Delta
PPG 24.4 20.6 +3.8
RPG 5.3 6.6 -1.3
APG 3.9 4.6 -0.7
SPG 1.9 1.5 +0.4
BPG 1.2 1.2 +0.0
TPG - 2.1
FG% 0.457 0.5 -0.0
3P% 0.357 0.4 -0.0
FT% 0.813 0.5 +0.3

Play Style

Driving Frequency
73:27%

Positional Fit

Guard 90%
Wing 100%
Big 100%

Player Impact Breakdown

Solid starter score driven by exceptional Win Model Score. Ratings suggest higher ceiling than on-court impact reflects — team context may be masking individual value. Defense is the primary value driver.

65 / 100 #52 of 435
On-Court Impact — 60% weight +0.25z
On-Court Impact +0.67 (Off -0.88, Def +1.54)
Win-Model Ratings — 25% weight +2.24z
Win Model Score: 4.5135
Hidden Intangibles — 15% weight +0.00z
Hidden Rating Impact: +0.0000 (actual vs predicted from ratings)
Offense
54
#166
Defense
73
#25
Confidence
100%
2505 min
Position Model (PF)
Predicted Positional BSI: 2.81 Actual: 2.6 -0.21
Performing in line with PF model predictions

Future Value

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

78 / 100 #2 of 450
Cumulative Wins — 50% weight 90
Peak Ceiling — 20% weight 89
Contract Surplus — 30% weight 51
Future Value above current Impact (65) — trajectory is positive

League Percentile Profile

PPG
98
TS%
30
BPM
77
WS/48
24
RAPM
55
USG%
97
PA/100
45
BCI
53

Shot Quality

PA/100
-1.43
Points Added
-25.1
Selection
0.973
FGA
1757
Zone Breakdown
Rim
54.3%
626 FGA (36%)
Above Break Three
35.3%
592 FGA (34%)
Short Midrange
34.9%
332 FGA (19%)
Long Midrange
35.0%
206 FGA (12%)
Other
100.0%
1 FGA (0%)

Creation & Scoring Load

Box Creation
9.56
Load Tier
Below Average
Eff Delta
-2.5%
USG%
32.7%
Tendencies
Salary
$25.0M
Years Left
2
Expiry
2052
Option
None
Status
-
Trade Value
0.614

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
4.513
Expected WM
3.490
Dev Residual
+1.0235
Peak Age
33
Peak Win Model
5.112
PA Tier
High
Upside Gap
0.0
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
V
Viktor Morozov Cleveland Giants 0 3.0 98.8% Secondary Creator / Chaser
L
Lenzelle Ndefo Philadelphia Warriors 24 3.5 97.6% Slasher / Wing Stopper
J
Jonas Baumann San Diego Calaveras 20 3.5 97.2% Secondary Creator / Chaser
D
Diego Quintillà St Louis Skyhawks 0 2.5 96.7% Secondary Creator / Chaser
D
Damjan Nemanič Los Angeles Fireballs 30 4.5 96.6% Post Bully / Mobile Big

Predicted Archetype

Offensive
Defensive

Win Value Development

Stage
Developing
Peak Age
29
Peak Win Value
17.7
Years to Peak
6
Current Win Value
16.2
Confidence
HIGH

Win Value Trajectory

Empirical Dev Curve (Multiverse)

Current WV
3.438
Projected Peak WV
3.750
Peak Age
29
Years to Peak
6
WV Growth
+0.312

Rating Trainability

Rating Current Growth/yr Class Peak Age
Foul Drawing 15 +1.23 High Growth 31
Help Defense 18 +0.66 High Growth 27
Off-Ball Defense 16 +0.55 High Growth 28
Ball Dominance 18 +0.55 High Growth 28
Gravity 19 +0.52 High Growth 29
Spacing 19 +0.45 High Growth 18
Post Execution 8 +0.40 High Growth 29
Playmaking 15 +0.40 High Growth 29
Stealing 19 +0.38 High Growth 19
Finishing 19 +0.37 High Growth 27
Defensive Rebounding 14 +0.37 High Growth 18
Offensive Rebounding 15 +0.36 High Growth 18
Strength 12 +0.35 High Growth 18
Pick & Roll Execution 16 +0.34 High Growth 18
Passing 19 +0.33 High Growth 18
Self-Creation 17 +0.32 High Growth 19
Isolation Execution 13 +0.32 High Growth 18
3PT Shooting 17 +0.31 High Growth 19
Ball Handling 17 +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 11 +0.26 Moderate Growth 18
Inside Shooting 17 +0.25 Moderate Growth 18
Post Defense 16 +0.17 Moderate Growth 18
Basketball IQ 19 +0.07 Low Growth 19
Endurance 10 +0.05 Low Growth 20
Speed 13 +0.01 Low Growth 18
Free Throws 15 +0.00 Unknown -
First Step 14 -0.01 Low Growth 18
Mid-Range Shooting 17 -0.03 Low Growth 19
Quickness 17 -0.08 Low Growth 19
Athleticism 16 -0.08 Low Growth 19
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