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W

Kansas City Knights · Secondary Creator / Wing Stopper

College: Kansas · Wisconsin Dells, Wisconsin

Creative shoot-and-defend wing

A solid defensive wing averaging 14.0 PPG, 5.4 RPG, 5.7 APG. Excels in defensive rebounding (19 rating, 100th pctl), finishing (19 rating, 100th pctl) and stealing (19 rating, 99th pctl). Limited by pick-and-roll execution (8 rating, 23rd pctl).

54
Impact
4
CA
4
PA
23
Age
$25.0M
Salary
Stat Value Pctl
Per Game
PPG 14.0 78
RPG 5.4 78
APG 5.7 92
SPG 1.44 82
BPG 0.57 60
MPG 31.0 81
Shooting
FG% .458 47
3P% .343 46
FT% .830 56
TS% 0.578 52
Impact
Impact 54 68
Off Impact 44 19
Def Impact 66 94
Advanced
PER 17.2 80
WS 8.2 95
BPM 4.6 95
VORP 4.3 98

Strengths & Weaknesses (Win Model)

Strengths
Defensive Rebounding 19 (coef=0.0204)
Help Defense 17 (coef=0.0134)
3PT Shooting 17 (coef=0.0122)
Offensive Rebounding 14 (coef=0.0145)
Endurance 17 (coef=0.0092)
Weaknesses
Pick & Roll Execution 8 (coef=0.0152)
Ball Dominance 10 (coef=0.0069)
Basketball IQ 14 (coef=0.0039)
Strength 8 (coef=0.0031)

Play Style

Driving Frequency
14%
Roll : Pop
26:74
Catch & Shoot : Pull-Up
52:48
Corner 3 : Above the Break
72:28

Positional Fit

Guard 60%
Wing 80%
Big 50%

Player Impact Breakdown

Average score driven by strong win-model ratings. Elite ratings haven't translated to on-court impact. Defense is the primary value driver.

54 / 100 #182 of 503
On-Court Impact (EPM) — 60% weight -0.34z
EPM -0.91 (Off -2.57, Def +1.67)
Win-Model Ratings — 25% weight +1.05z
Ridge coefficient score: 0.0816
Hidden Intangibles — 15% weight +0.24z
WS/48 residual: +0.0112 (actual vs predicted from ratings)
Offense
44
#416
Defense
66
#34
Confidence
100%
2546 min
Tendencies
Salary
$25.0M
Years Left
3
Expiry
End of 2051
Option
None
Status
Starter
Trade Value
0.459

Contract Breakdown

Season Salary Notes
2050-51 $25,000,000
2051-52 $25,000,000
Total Owed $50,000,000

Win Model Development

WM Score
2.778
Expected WM
2.471
Dev Residual
+0.3061
Peak Age
30
Peak WM
3.010
PA Tier
High
Upside Gap
0
Dev Status
Ahead of 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
J
Jordan Kingsley Austin Rockets 20 3.0 98.8% Secondary Creator / Wing Stopper
A
Adam Zeljković Pittsburgh Vipers 23 3.0 98.7% Stationary Shooter / Helper
M
Mattias Fortt Atlanta Devils 20 1.5 98.4% Glue Guy / Helper
L
Lance Jacobsen St Louis Skyhawks 30 3.0 98.2% Secondary Creator / Wing Stopper
D
Davide Deangelo St Louis Skyhawks 23 3.5 98.2% Glue Guy / Wing Stopper

Predicted Archetype

Offensive
Defensive
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