Josh Clayton
GCharlotte Drones · Primary Ballhandler / Point Of Attack
Whyalla, Australia
Smooth distributing guard
A fringe point guard averaging 4.7 PPG, 1.1 RPG, 3.3 APG. Excels in ball handling (19 rating, 99th pctl), gravity (17 rating, 83rd pctl) and passing (18 rating, 79th pctl). Limited by defensive rebounding (2 rating, 1st pctl) and ball dominance (7 rating, 4th pctl).
38
Impact
2.5
CA
4
PA
23
Age
$3.5M
Strengths & Weaknesses (Win Model)
Strengths
3PT Shooting 17 (coef=0.0122)
Athleticism 15 (coef=-0.0111)
Isolation Execution 16 (coef=0.0096)
Endurance 14 (coef=0.0092)
Passing 18 (coef=0.0053)
Weaknesses
Defensive Rebounding 2 (coef=0.0204)
Pick & Roll Execution 7 (coef=0.0152)
Offensive Rebounding 8 (coef=0.0145)
Rim Protection 3 (coef=0.0122)
Ball Dominance 7 (coef=0.0069)
Play Style
Driving Frequency
1%
Roll : Pop
24:76
Catch & Shoot : Pull-Up
28:72
Corner 3 : Above the Break
37:63
Positional Fit
Guard
50%
Wing
50%
Big
0%
Player Impact Breakdown
Below-average score driven by weak win-model ratings.
38
/ 100
#471 of 503
On-Court Impact (EPM) — 60% weight
-0.31z
EPM -0.84 (Off -0.65, Def -0.19)
Win-Model Ratings — 25% weight
-1.51z
Ridge coefficient score: -0.0829
Hidden Intangibles — 15% weight
-0.41z
WS/48 residual: -0.0264 (actual vs predicted from ratings)
Offense
45
#405
Defense
39
#473
Confidence
95%
1469 min
Tendencies
Salary
$3.5M
Years Left
2
Expiry
End of 2050
Option
Team Option
Status
Rotation
Trade Value
0.339
Contract Breakdown
| Season | Salary | Notes |
|---|---|---|
| 2050-51 | $3,550,000 | Team Option |
Win Model Development
WM Score
2.022
Expected WM
2.277
Dev Residual
-0.2551
Peak Age
34
Peak WM
2.402
PA Tier
High
Upside Gap
1.5
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
Predicted Archetype
Offensive
Defensive