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Omari Swift

Omari Swift

PG

Baltimore Bullets · Shot Creator / Point Of Attack

College: La Salle · White Plains, New York

Skilled two-way shooting guard

A fringe point guard averaging 12.0 PPG, 2.2 RPG, 6.5 APG. Excels in finishing (19 rating, 98th pctl), self-creation (19 rating, 98th pctl) and 6.5 APG (94th pctl). Limited by help defense (9 rating, 11th pctl) and offensive rebounding (5 rating, 15th pctl).

32
Impact
42
Future
3.5
CA
3.0
PA
21
Age
$4.5M
Salary
2.830
Bal WV

Skill Badges

(10)
O Gravity Generator (B) O Lob Threat (B) O Floater Game (B) O Ankle Breaker (B) O Slasher (B) O Posterizer (B) O Pop Threat (B) O Shot Creator (B) O PnR Maestro (B) D Clamps (B)
Immanuel Quickley
NBA Comparison
Immanuel Quickley
2024-25
78%
Style
78%
Level
6'3" · 190lbs
15.5/4.5/6.5 (PPG/RPG/APG)
Ball handler
Alt comp
Kyle Lowry
2021-22 · 75%
2050 Projection
Peak Ridge: 14.0
Stage: Developing
Peak Age: 29 (9yr away)
Future Value: 42
Stat Value Pctl
Per Game
PPG 12.0 67
RPG 2.2 34
APG 6.5 94
SPG 1.3 76
BPG 0.2 43
MPG 29.4 71
Shooting
FG% 0.457 44
3P% 0.322 36
FT% 0.876 75
TS% 0.571 46
Impact
Impact 32 9
Off Impact 44 30
Def Impact 34 7
Advanced
Player Efficiency Rating 14.7 53
WS 5.8 82
Box Score Impact -0.3 45
Value Over Replacement 1.0 63
Positional BSI -1.30 +1.00

Strengths & Weaknesses (Win Model)

Strengths
On-Ball Perimeter Defense 17 (coef=0.0330)
Inside Shooting 18 (coef=0.0155)
Passing 17 (coef=0.0156)
Ball Dominance 14 (coef=0.0152)
Shoot Off Dribble 13 (coef=0.0134)
Weaknesses
Post Defense 3 (coef=0.0333)
Defensive Rebounding 6 (coef=0.0226)
Rim Protection 3 (coef=0.0168)
Offensive Rebounding 5 (coef=0.0160)
Stealing 9 (coef=0.0145)

Expected vs Actual Production

Stat Actual Expected Delta
PPG 12.0 15.3 -3.3
RPG 2.2 3.1 -0.9
APG 6.5 5.1 +1.4
SPG 1.3 1.0 +0.3
BPG 0.2 0.5 -0.3
TPG - 1.6
FG% 0.457 0.5 -0.0
3P% 0.322 0.3 -0.0
FT% 0.876 0.5 +0.4

Play Style

Driving Frequency
76:24%

Positional Fit

Guard 80%
Wing 80%
Big 60%

Player Impact Breakdown

Below-average score driven by weak Win Model Score.

32 / 100 #402 of 435
On-Court Impact — 60% weight -0.85z
On-Court Impact -2.06 (Off -1.78, Def -0.18)
Win-Model Ratings — 25% weight -1.43z
Win Model Score: 2.8147
Hidden Intangibles — 15% weight +0.00z
Hidden Rating Impact: +0.0000 (actual vs predicted from ratings)
Offense
44
#324
Defense
34
#411
Confidence
100%
2412 min
Position Model (PG)
Predicted Positional BSI: -1.30 Actual: -0.3 +1.00
Significantly outperforming 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.

42 / 100 #397 of 450
Cumulative Wins — 50% weight 40
Peak Ceiling — 20% weight 39
Contract Surplus — 30% weight 48
Future Value above current Impact (32) — trajectory is positive

League Percentile Profile

PPG
58
TS%
43
BPM
42
WS/48
62
RAPM
21
USG%
39
PA/100
48
BCI
88

Shot Quality

PA/100
-0.88
Points Added
-8.0
Selection
0.973
FGA
901
Zone Breakdown
Rim
53.0%
315 FGA (35%)
Above Break Three
31.4%
373 FGA (41%)
Short Midrange
41.3%
155 FGA (17%)
Long Midrange
48.3%
58 FGA (6%)

Creation & Scoring Load

Box Creation
19.84
Load Tier
Average
Eff Delta
-0.5%
USG%
18.1%
Tendencies
Salary
$4.5M
Years Left
1
Expiry
2051
Option
None
Status
-
Trade Value
0.295

Contract Breakdown

Season Salary Notes
2050-51 $4,450,000 Baltimore Bullets exercised option

Win Model Development

Win Model Score
2.815
Expected WM
3.011
Dev Residual
-0.1960
Peak Age
30
Peak Win Model
3.419
PA Tier
Medium
Upside Gap
-0.5
Dev Status
Behind 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
Z
Zach Camara Minneapolis Blizzards 30 4.5 98.8% Shot Creator / Point Of Attack
L
Luis Oliveira Oklahoma City Barons 24 4.0 98.6% Primary Ballhandler / Point Of Attack
D
Danilo Radovic Boston Crusaders 22 3.5 98.6% Primary Ballhandler / Point Of Attack
D
Dantrell Blackman Louisville Colonels 24 4.0 98.4% Primary Ballhandler / Point Of Attack
K
Kenny Cokley Washington Pilots 30 4.5 98.3% Primary Ballhandler / Point Of Attack

Predicted Archetype

Offensive
Defensive

Win Value Development

Stage
Developing
Peak Age
29
Peak Win Value
14.0
Years to Peak
9
Current Win Value
11.2
Confidence
HIGH

Win Value Trajectory

Empirical Dev Curve (Multiverse)

Current WV
2.173
Projected Peak WV
2.736
Peak Age
29
Years to Peak
8
WV Growth
+0.563

Rating Trainability

Rating Current Growth/yr Class Peak Age
Foul Drawing 14 +1.23 High Growth 31
Help Defense 9 +0.66 High Growth 27
Off-Ball Defense 16 +0.55 High Growth 28
Ball Dominance 14 +0.55 High Growth 28
Gravity 17 +0.52 High Growth 29
Spacing 10 +0.45 High Growth 18
Post Execution 4 +0.40 High Growth 29
Playmaking 13 +0.40 High Growth 29
Stealing 9 +0.38 High Growth 19
Finishing 19 +0.37 High Growth 27
Defensive Rebounding 6 +0.37 High Growth 18
Offensive Rebounding 5 +0.36 High Growth 18
Strength 13 +0.35 High Growth 18
Pick & Roll Execution 17 +0.34 High Growth 18
Passing 17 +0.33 High Growth 18
Self-Creation 19 +0.32 High Growth 19
Isolation Execution 10 +0.32 High Growth 18
3PT Shooting 15 +0.31 High Growth 19
Ball Handling 16 +0.30 High Growth 19
On-Ball Perimeter Defense 17 +0.30 High Growth 18
Shoot Off Dribble 13 +0.28 Moderate Growth 18
Rim Protection 3 +0.26 Moderate Growth 18
Inside Shooting 18 +0.25 Moderate Growth 18
Post Defense 3 +0.17 Moderate Growth 18
Basketball IQ 13 +0.07 Low Growth 19
Endurance 8 +0.05 Low Growth 20
Speed 14 +0.01 Low Growth 18
Free Throws 16 +0.00 Unknown -
First Step 8 -0.01 Low Growth 18
Mid-Range Shooting 16 -0.03 Low Growth 19
Quickness 14 -0.08 Low Growth 19
Athleticism 14 -0.08 Low Growth 19
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