Akani Adekoya

Akani Adekoya

G

Kansas City Knights · Primary Ballhandler / Point Of Attack

College: Kentucky · Fayetteville, Arkansas

Cerebral two-way shooting guard

A star-level point guard averaging 5.8 PPG, 0.9 RPG, 4.3 APG. Excels in interior scoring (19 rating, 100th pctl), endurance (18 rating, 98th pctl) and basketball IQ (19 rating, 94th pctl). Limited by defensive rebounding (3 rating, 3rd pctl) and ball dominance (8 rating, 11th pctl).

60
Impact
3
CA
3
PA
25
Age
$1.8M
Salary
Stat Value Pctl
Per Game
PPG 5.8 36
RPG 0.9 14
APG 4.3 85
SPG 0.97 65
BPG 0.03 14
MPG 15.0 35
Shooting
FG% .508 74
3P% .454 93
FT% .864 70
TS% 0.635 90
Impact
Impact 60 85
Off Impact 60 89
Def Impact 49 46
Advanced
PER 18.5 87
WS 5.0 80
BPM 1.9 73
VORP 1.1 69

Strengths & Weaknesses (Win Model)

Strengths
Inside Shooting 19 (coef=0.0145)
3PT Shooting 16 (coef=0.0122)
Endurance 18 (coef=0.0092)
Shoot Off Dribble 17 (coef=0.0071)
Passing 18 (coef=0.0053)
Weaknesses
Defensive Rebounding 3 (coef=0.0204)
Pick & Roll Execution 9 (coef=0.0152)
Offensive Rebounding 3 (coef=0.0145)
Rim Protection 3 (coef=0.0122)
Ball Dominance 8 (coef=0.0069)

Play Style

Driving Frequency
13%
Roll : Pop
30:70
Catch & Shoot : Pull-Up
58:42
Corner 3 : Above the Break
57:43

Positional Fit

Guard 60%
Wing 60%
Big 0%

Player Impact Breakdown

Solid starter score driven by strong on-court impact (EPM). Outperforms his ratings on the court.

60 / 100 #89 of 503
On-Court Impact (EPM) — 60% weight +0.94z
EPM +2.47 (Off +1.38, Def +1.12)
Win-Model Ratings — 25% weight -0.50z
Ridge coefficient score: -0.0179
Hidden Intangibles — 15% weight +2.20z
WS/48 residual: +0.1263 (actual vs predicted from ratings)
Offense
60
#75
Defense
49
#299
Confidence
87%
1137 min
Tendencies
Salary
$1.8M
Years Left
1
Expiry
End of 2049
Option
None
Status
Rotation
Trade Value
0.484

Contract Breakdown

Free Agent — no remaining contract obligations.

Win Model Development

WM Score
2.174
Expected WM
2.215
Dev Residual
-0.0411
Peak Age
34
Peak WM
2.365
PA Tier
Medium
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
S
Sebastian Hazle Atlanta Devils 23 2.5 98.6% Slasher / Wing Stopper
A
Abdoulaye Planincic San Diego Calaveras 30 3.0 97.7% Primary Ballhandler / Point Of Attack
L
Lincoln Rutherford St Louis Skyhawks 30 3.5 97.6% Primary Ballhandler / Point Of Attack
J
Josh Clayton Charlotte Drones 23 2.5 97.6% Primary Ballhandler / Point Of Attack
D
Daniel Cazorla Phoenix Vultures 18 2.0 97.5% Primary Ballhandler / Point Of Attack

Predicted Archetype

Offensive
Defensive
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