Dashboard›JBL Players›Zeke Barry
Zeke Barry

Zeke Barry

PF

Kansas City Knights · Versatile Big / Mobile Big

College: UConn · Allentown, Pennsylvania

Explosive defensive center

A solid defensive power forward averaging 15.3 PPG, 9.4 RPG, 1.1 APG. Excels in basketball IQ (20 rating, 100th pctl), post defense (19 rating, 99th pctl) and strength (19 rating, 99th pctl). Limited by ball dominance (8 rating, 15th pctl) and ball handling (4 rating, 18th pctl).

56
Impact
56
Future
5.0
CA
4.0
PA
24
Age
$25.0M
Salary
3.954
Bal WV

Skill Badges

(16)
O Post Hub (S) O Floater Game (S) O Glass Cleaner (S) O Slasher (B) O Posterizer (B) O Iso Scorer (B) O Speed Demon (B) D Paint Wall (S) D Rim Eraser (B) D Help Defender (B) D Chasedown Artist (B) D Versatile Defender (B) D Interceptor (B) D Charge Taker (B) D Pick Dodger (B) D Clamps (B)
Deandre Ayton
NBA Comparison
Deandre Ayton
2022-23
73%
Style
73%
Level
6'11" · 250lbs
18.0/10.0/2.0 (PPG/RPG/APG)
Efficient scorer Rim protector Rebounder Inside scorer Defensive anchor
Alt comp
Evan Mobley
2024-25 · 71%
2050 Projection
Peak Ridge: 14.9
Stage: Developing
Peak Age: 29 (5yr away)
Future Value: 56
Stat Value Pctl
Per Game
PPG 15.3 79
RPG 9.4 94
APG 1.1 33
SPG 0.7 52
BPG 2.2 97
MPG 29.9 74
Shooting
FG% 0.584 95
3P% 0.324 37
FT% 0.903 88
TS% 0.654 95
Impact
Impact 56 71
Off Impact 39 15
Def Impact 71 94
Advanced
Player Efficiency Rating 18.5 87
WS 8.7 95
Box Score Impact 1.9 72
Value Over Replacement 2.4 84
Positional BSI 1.38 +0.52

Strengths & Weaknesses (Win Model)

Strengths
Post Defense 19 (coef=0.0333)
Defensive Rebounding 17 (coef=0.0226)
Inside Shooting 19 (coef=0.0155)
Rim Protection 17 (coef=0.0168)
Offensive Rebounding 17 (coef=0.0160)
Weaknesses
3PT Shooting 11 (coef=0.0196)
Spacing 5 (coef=0.0196)
Passing 11 (coef=0.0156)
Ball Dominance 8 (coef=0.0152)
Shoot Off Dribble 3 (coef=0.0134)

Expected vs Actual Production

Stat Actual Expected Delta
PPG 15.3 14.5 +0.8
RPG 9.4 8.5 +0.9
APG 1.1 1.6 -0.5
SPG 0.7 0.9 -0.2
BPG 2.2 1.5 +0.7
TPG - 1.4
FG% 0.584 0.5 +0.1
3P% 0.324 0.3 +0.0
FT% 0.903 0.5 +0.4

Play Style

Driving Frequency
88:12%

Positional Fit

Guard 50%
Wing 80%
Big 90%

Player Impact Breakdown

Solid starter score driven by strong Win Model Score. Ratings suggest higher ceiling than on-court impact reflects — team context may be masking individual value. Defense is the primary value driver.

56 / 100 #133 of 435
On-Court Impact — 60% weight -0.16z
On-Court Impact -0.34 (Off -1.41, Def +1.07)
Win-Model Ratings — 25% weight +1.04z
Win Model Score: 3.9396
Hidden Intangibles — 15% weight +0.00z
Hidden Rating Impact: +0.0000 (actual vs predicted from ratings)
Offense
39
#378
Defense
71
#34
Confidence
100%
2455 min
Position Model (PF)
Predicted Positional BSI: 1.38 Actual: 1.9 +0.52
Outperforming PF model predictions

Future Value

Forward-looking complement to Impact Score — who will be valuable going forward, factoring in age, contract efficiency, and development trajectory.

56 / 100 #150 of 450
Cumulative Wins — 50% weight 66
Peak Ceiling — 20% weight 65
Contract Surplus — 30% weight 35
Future Value in line with current Impact (56)

League Percentile Profile

PPG
74
TS%
97
BPM
69
WS/48
93
RAPM
43
USG%
53
PA/100
73
BCI
14

Shot Quality

PA/100
+4.53
Points Added
+53.7
Selection
0.988
FGA
1184
Zone Breakdown
Rim
54.5%
833 FGA (70%)
Short Midrange
44.0%
252 FGA (21%)
Above Break Three
31.0%
42 FGA (4%)
Long Midrange
53.7%
41 FGA (4%)
Other
31.2%
16 FGA (1%)

Creation & Scoring Load

Box Creation
4.06
Load Tier
Elite
Eff Delta
+7.8%
USG%
19.6%
Tendencies
Salary
$25.0M
Years Left
1
Expiry
2051
Option
None
Status
-
Trade Value
0.494

Contract Breakdown

Season Salary Notes
2050-51 $25,000,000

Win Model Development

Win Model Score
3.940
Expected WM
3.705
Dev Residual
+0.2348
Peak Age
31
Peak Win Model
4.392
PA Tier
High
Upside Gap
-1.0
Dev Status
Ahead of Curve
Win Model Score = sum(rating × coefficient) from multi-season Ridge regression (n=393, 11 seasons, 12/32 stable coefficients). Defense and shooting dominate. Unbiased across positions.

Win Model Trajectory

Most Similar Players

Player Team Age CA Similarity Archetype
S
Steve Comino Vancouver Wolves 27 4.5 98.2% Versatile Big / Mobile Big
R
Rudi Loggins Louisville Colonels 20 2.5 97.7% Glue Guy / Helper
S
Semisi Rautins Atlanta Devils 20 5.0 97.5% Versatile Big / Mobile Big
L
LaShun Eddington Kansas City Knights 0 2.5 97.4% Stretch Big / Helper
I
Ilker Vick Nashville Stars 0 3.5 97.2% Versatile Big / Mobile Big

Predicted Archetype

Offensive
Defensive

Win Value Development

Stage
Developing
Peak Age
29
Peak Win Value
14.9
Years to Peak
5
Current Win Value
13.8
Confidence
HIGH

Win Value Trajectory

Empirical Dev Curve (Multiverse)

Current WV
2.936
Projected Peak WV
3.167
Peak Age
29
Years to Peak
5
WV Growth
+0.232

Rating Trainability

Rating Current Growth/yr Class Peak Age
Foul Drawing 19 +1.23 High Growth 31
Help Defense 17 +0.66 High Growth 27
Off-Ball Defense 14 +0.55 High Growth 28
Ball Dominance 8 +0.55 High Growth 28
Gravity 10 +0.52 High Growth 29
Spacing 5 +0.45 High Growth 18
Post Execution 18 +0.40 High Growth 29
Playmaking 6 +0.40 High Growth 29
Stealing 14 +0.38 High Growth 19
Finishing 14 +0.37 High Growth 27
Defensive Rebounding 17 +0.37 High Growth 18
Offensive Rebounding 17 +0.36 High Growth 18
Strength 19 +0.35 High Growth 18
Pick & Roll Execution 11 +0.34 High Growth 18
Passing 11 +0.33 High Growth 18
Self-Creation 19 +0.32 High Growth 19
Isolation Execution 17 +0.32 High Growth 18
3PT Shooting 11 +0.31 High Growth 19
Ball Handling 4 +0.30 High Growth 19
On-Ball Perimeter Defense 14 +0.30 High Growth 18
Shoot Off Dribble 3 +0.28 Moderate Growth 18
Rim Protection 17 +0.26 Moderate Growth 18
Inside Shooting 19 +0.25 Moderate Growth 18
Post Defense 19 +0.17 Moderate Growth 18
Basketball IQ 20 +0.07 Low Growth 19
Endurance 15 +0.05 Low Growth 20
Speed 17 +0.01 Low Growth 18
Free Throws 16 +0.00 Unknown -
First Step 16 -0.01 Low Growth 18
Mid-Range Shooting 10 -0.03 Low Growth 19
Quickness 13 -0.08 Low Growth 19
Athleticism 16 -0.08 Low Growth 19
← Back to Roster