LaMarcus Coleman

LaMarcus Coleman

W

Cleveland Giants · Secondary Creator / Wing Stopper

College: Stanford · San Diego, California

Refined shoot-and-defend wing

A star-level wing averaging 12.4 PPG, 4.1 RPG, 3.0 APG. Excels in self-creation (19 rating, 100th pctl), pick-and-roll execution (19 rating, 100th pctl) and off-ball defense (19 rating, 100th pctl). Limited by rim protection (2 rating, 15th pctl) and passing (8 rating, 17th pctl).

57
Impact
4
CA
4
PA
29
Age
$3.2M
Salary
Stat Value Pctl
Per Game
PPG 12.4 72
RPG 4.1 66
APG 3.0 71
SPG 1.61 89
BPG 0.17 40
MPG 28.3 71
Shooting
FG% .495 67
3P% .422 86
FT% .830 56
TS% 0.631 88
Impact
Impact 57 78
Off Impact 60 89
Def Impact 48 41
Advanced
PER 16.1 68
WS 1.9 45
BPM 5.2 97
VORP 1.2 70

Strengths & Weaknesses (Win Model)

Strengths
Pick & Roll Execution 19 (coef=0.0152)
Inside Shooting 19 (coef=0.0145)
Offensive Rebounding 16 (coef=0.0145)
3PT Shooting 18 (coef=0.0122)
Isolation Execution 17 (coef=0.0096)
Weaknesses
Help Defense 12 (coef=0.0134)
Rim Protection 2 (coef=0.0122)
Endurance 7 (coef=0.0092)
Post Execution 3 (coef=0.0061)
Post Defense 3 (coef=0.0057)

Play Style

Driving Frequency
16%
Roll : Pop
12:88
Catch & Shoot : Pull-Up
56:44
Corner 3 : Above the Break
82:18

Positional Fit

Guard 60%
Wing 80%
Big 20%

Player Impact Breakdown

Solid starter score driven by solid on-court impact (EPM). Offense is the primary value driver.

57 / 100 #121 of 503
On-Court Impact (EPM) — 60% weight +0.54z
EPM +1.41 (Off +2.06, Def -0.65)
Win-Model Ratings — 25% weight +0.72z
Ridge coefficient score: 0.0604
Hidden Intangibles — 15% weight +0.83z
WS/48 residual: +0.0459 (actual vs predicted from ratings)
Offense
60
#75
Defense
48
#333
Confidence
61%
651 min
Tendencies
Salary
$3.2M
Years Left
1
Expiry
End of 2049
Option
None
Status
Backup/Rotation
Trade Value
0.492

Contract Breakdown

Free Agent — no remaining contract obligations.

Win Model Development

WM Score
2.574
Expected WM
2.679
Dev Residual
-0.1049
Peak Age
30
Peak WM
2.599
PA Tier
High
Upside Gap
0
Dev Status
Behind Curve
Win Model Score = sum(rating * Ridge coefficient). Measures predicted win contribution from ratings — unbiased across positions.

Win Model Trajectory

Most Similar Players

Player Team Age CA Similarity Archetype
I
Isaiah Harris Kansas City Knights 23 2.5 99.0% Secondary Creator / Wing Stopper
K
Kalen Smart Washington Pilots 34 3.5 98.9% Secondary Creator / Wing Stopper
A
Andre Griffin Kansas City Knights 28 4.5 98.7% Secondary Creator / Chaser
K
Kaden Ford Dallas Predators 33 3.5 98.6% Secondary Creator / Chaser
T
Tenzin Ozer Louisville Colonels 31 3.5 98.6% Secondary Creator / Wing Stopper

Predicted Archetype

Offensive
Defensive
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