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Jamaria Flagg

Jamaria Flagg

PG

Charlotte Drones · Primary Ballhandler / Point Of Attack

College: Stanford · Pleasant Hill, California

Refined shoot-and-defend guard

An elite two-way point guard averaging 10.1 PPG, 2.8 RPG, 7.5 APG. Excels in shoot off dribble (19 rating, 100th pctl), stealing (19 rating, 99th pctl) and free throws (19 rating, 99th pctl). Limited by foul drawing (11 rating, 24th pctl) and post defense (4 rating, 24th pctl).

67
Impact
73
Future
5.0
CA
4.0
PA
28
Age
$6.0M
Salary
3.863
Bal WV

Skill Badges

(18)
O Pull-Up Threat (S) O Slasher (S) O Iso Scorer (S) O Shot Creator (S) O Lob Threat (S) O Gravity Generator (S) O Sniper (S) O PnR Maestro (S) O Pop Threat (S) O Floater Game (S) O Floor General (S) O Ankle Breaker (S) O Catch & Shoot (S) O Posterizer (B) D Interceptor (S) D Help Defender (B) D Clamps (B) D Pick Dodger (B)
Tre Jones
NBA Comparison
Tre Jones
2024-25
68%
Style
68%
Level
6'1" · 185lbs
7.0/2.5/5.5 (PPG/RPG/APG)
Elite playmaker 3PT specialist Ball handler
Alt comp
Chris Paul
2024-25 · 61%
2050 Projection
Peak Ridge: 14.5
Stage: Developing
Peak Age: 29 (2yr away)
Future Value: 73
Stat Value Pctl
Per Game
PPG 10.1 58
RPG 2.8 43
APG 7.5 96
SPG 1.5 84
BPG 0.1 33
MPG 27.4 65
Shooting
FG% 0.453 41
3P% 0.412 81
FT% 0.922 94
TS% 0.585 57
Impact
Impact 67 91
Off Impact 71 97
Def Impact 52 66
Advanced
Player Efficiency Rating 17.2 79
WS 7.3 91
Box Score Impact 0.9 60
Value Over Replacement 1.7 73
Positional BSI 1.71 -0.81

Strengths & Weaknesses (Win Model)

Strengths
On-Ball Perimeter Defense 18 (coef=0.0330)
3PT Shooting 17 (coef=0.0196)
Spacing 17 (coef=0.0196)
Inside Shooting 19 (coef=0.0155)
Ball Dominance 19 (coef=0.0152)
Weaknesses
Post Defense 4 (coef=0.0333)
Defensive Rebounding 10 (coef=0.0226)
Rim Protection 5 (coef=0.0168)
Foul Drawing 11 (coef=0.0102)

Expected vs Actual Production

Stat Actual Expected Delta
PPG 10.1 15.6 -5.5
RPG 2.8 3.5 -0.7
APG 7.5 4.9 +2.6
SPG 1.5 1.4 +0.1
BPG 0.1 0.4 -0.3
TPG - 1.6
FG% 0.453 0.5 -0.0
3P% 0.412 0.3 +0.1
FT% 0.922 0.5 +0.5

Play Style

Driving Frequency
53:47%

Positional Fit

Guard 90%
Wing 90%
Big 70%

Player Impact Breakdown

Solid starter score driven by strong Win Model Score. Offense is the primary value driver.

67 / 100 #44 of 435
On-Court Impact — 60% weight +0.85z
On-Court Impact +2.15 (Off +1.55, Def +0.69)
Win-Model Ratings — 25% weight +1.17z
Win Model Score: 3.8441
Hidden Intangibles — 15% weight +0.00z
Hidden Rating Impact: +0.0000 (actual vs predicted from ratings)
Offense
71
#17
Defense
52
#179
Confidence
100%
2250 min
Position Model (PG)
Predicted Positional BSI: 1.71 Actual: 0.9 -0.81
Underperforming PG model predictions

Future Value

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

73 / 100 #8 of 450
Cumulative Wins — 50% weight 71
Peak Ceiling — 20% weight 70
Contract Surplus — 30% weight 79
Future Value above current Impact (67) — trajectory is positive

League Percentile Profile

PPG
47
TS%
56
BPM
57
WS/48
87
RAPM
74
USG%
23
PA/100
81

Shot Quality

PA/100
+7.13
Points Added
+49.7
Selection
0.969
FGA
697
Zone Breakdown
Above Break Three
41.0%
315 FGA (45%)
Short Midrange
37.8%
111 FGA (16%)
Rim
47.1%
189 FGA (27%)
Long Midrange
46.9%
81 FGA (12%)
Other
100.0%
1 FGA (0%)
Tendencies
Salary
$6.0M
Years Left
2
Expiry
2052
Option
None
Status
-
Trade Value
0.598

Contract Breakdown

Season Salary Notes
2050-51 $6,000,000 Signed contract via Free Agency with Charlotte Drones
2051-52 $6,000,000
Total Owed $12,000,000

Win Model Development

Win Model Score
3.844
Expected WM
3.729
Dev Residual
+0.1154
Peak Age
30
Peak Win Model
3.995
PA Tier
High
Upside Gap
-1.0
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
T
Terrence Swan Louisville Colonels 27 5.0 99.2% Secondary Creator / Wing Stopper
D
Devonte Bell Chicago Jailbirds 24 5.0 99.0% Primary Ballhandler / Point Of Attack
C
Cayden Ward Portland Lumberjacks 24 4.5 98.7% Primary Ballhandler / Point Of Attack
K
Knud Mandana Nashville Stars 0 4.0 98.6% Secondary Creator / Wing Stopper
T
Terrance Brown New York Renegades 28 4.5 98.6% Secondary Creator / Wing Stopper

Predicted Archetype

Offensive
Defensive

Win Value Development

Stage
Developing
Peak Age
29
Peak Win Value
14.5
Years to Peak
2
Current Win Value
14.3
Confidence
HIGH

Win Value Trajectory

Empirical Dev Curve (Multiverse)

Current WV
2.727
Projected Peak WV
2.766
Peak Age
29
Years to Peak
1
WV Growth
+0.039

Rating Trainability

Rating Current Growth/yr Class Peak Age
Foul Drawing 11 +1.23 High Growth 31
Help Defense 19 +0.66 High Growth 27
Off-Ball Defense 19 +0.55 High Growth 28
Ball Dominance 19 +0.55 High Growth 28
Gravity 17 +0.52 High Growth 29
Spacing 17 +0.45 High Growth 18
Post Execution 8 +0.40 High Growth 29
Playmaking 19 +0.40 High Growth 29
Stealing 19 +0.38 High Growth 19
Finishing 19 +0.37 High Growth 27
Defensive Rebounding 10 +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 17 +0.33 High Growth 18
Self-Creation 19 +0.32 High Growth 19
Isolation Execution 17 +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 18 +0.30 High Growth 18
Shoot Off Dribble 19 +0.28 Moderate Growth 18
Rim Protection 5 +0.26 Moderate Growth 18
Inside Shooting 19 +0.25 Moderate Growth 18
Post Defense 4 +0.17 Moderate Growth 18
Basketball IQ 14 +0.07 Low Growth 19
Endurance 11 +0.05 Low Growth 20
Speed 13 +0.01 Low Growth 18
Free Throws 19 +0.00 Unknown -
First Step 17 -0.01 Low Growth 18
Mid-Range Shooting 17 -0.03 Low Growth 19
Quickness 15 -0.08 Low Growth 19
Athleticism 16 -0.08 Low Growth 19
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