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Stephan Rayner

Stephan Rayner

W

New York Renegades · Secondary Creator / Wing Stopper

College: Kansas · Philadelphia, Pennsylvania

Savvy two-way shooting wing

A rotation scoring shooting guard averaging 28.4 PPG, 3.7 RPG, 4.8 APG. Excels in 28.4 PPG (100th pctl), ball handling (19 rating, 99th pctl) and shoot off dribble (18 rating, 98th pctl). Limited by offensive rebounding (4 rating, 9th pctl) and strength (6 rating, 18th pctl).

48
Impact
3.5
CA
4.5
PA
29
Age
$40.0M
Salary
Stat Value Pctl
Per Game
PPG 28.4 100
RPG 3.7 60
APG 4.8 88
SPG 1.63 90
BPG 0.54 59
MPG 33.1 94
Shooting
FG% .465 53
3P% .344 47
FT% .877 77
TS% 0.586 60
Impact
Impact 48 41
Off Impact 56 78
Def Impact 39 8
Advanced
PER 21.8 97
WS 3.9 71
BPM 1.5 68
VORP 2.3 84

Strengths & Weaknesses (Win Model)

Strengths
Inside Shooting 18 (coef=0.0145)
3PT Shooting 18 (coef=0.0122)
Isolation Execution 18 (coef=0.0096)
Athleticism 15 (coef=-0.0111)
Endurance 14 (coef=0.0092)
Weaknesses
Defensive Rebounding 10 (coef=0.0204)
Pick & Roll Execution 8 (coef=0.0152)
Offensive Rebounding 4 (coef=0.0145)
Help Defense 12 (coef=0.0134)
Post Defense 5 (coef=0.0057)

Play Style

Driving Frequency
6%
Roll : Pop
21:79
Catch & Shoot : Pull-Up
45:55
Corner 3 : Above the Break
84:16

Positional Fit

Guard 60%
Wing 70%
Big 0%

Player Impact Breakdown

Average score driven by modest on-court impact (EPM). Offense is the primary value driver.

48 / 100 #325 of 503
On-Court Impact (EPM) — 60% weight -0.26z
EPM -0.70 (Off +0.25, Def -0.96)
Win-Model Ratings — 25% weight +0.15z
Ridge coefficient score: 0.0235
Hidden Intangibles — 15% weight -0.30z
WS/48 residual: -0.0204 (actual vs predicted from ratings)
Offense
56
#131
Defense
39
#473
Confidence
100%
2578 min
Tendencies
Salary
$40.0M
Years Left
5
Expiry
End of 2053
Option
None
Status
Franchise Player
Trade Value
0.405

Contract Breakdown

Free Agent — no remaining contract obligations.

Win Model Development

WM Score
2.413
Expected WM
2.780
Dev Residual
-0.3667
Peak Age
30
Peak WM
2.440
PA Tier
High
Upside Gap
1.0
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
T
Tahj Rallis Philadelphia Warriors 27 4.0 98.6% Stationary Shooter / Wing Stopper
M
Max Kurbatov Baltimore Bullets 23 3.5 97.8% Secondary Creator / Wing Stopper
B
Bakari Humphrey Oakland Tritons 30 4.0 97.7% Secondary Creator / Wing Stopper
M
Marquill Edmunds Denver Dragons 32 2.5 97.6% Secondary Creator / Wing Stopper
S
Stefan Bone Austin Rockets 29 3.5 97.6% Secondary Creator / Wing Stopper

Predicted Archetype

Offensive
Defensive
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