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Andrew Buller

Andrew Buller

SF

Cincinnati Kings · Stationary Shooter / Wing Stopper

College: UConn · Fort Wayne, Indiana

Relentless 3-and-d wing

A solid wing averaging 7.4 PPG, 2.5 RPG, 1.6 APG. Excels in athleticism (19 rating, 100th pctl), mid-range shooting (19 rating, 100th pctl) and stealing (19 rating, 99th pctl). Limited by isolation scoring (8 rating, 14th pctl) and passing (7 rating, 14th pctl).

55
Impact
62
Future
4.5
CA
2.5
PA
30
Age
$6.0M
Salary
3.461
Bal WV

Skill Badges

(15)
O Posterizer (S) O Catch & Shoot (S) O Floater Game (S) O Lob Threat (S) O Sniper (B) O Gravity Generator (B) O Slasher (B) O Glass Cleaner (B) O Pop Threat (B) O Ankle Breaker (B) D Interceptor (S) D Help Defender (B) D Clamps (B) D Pick Dodger (B) D Chasedown Artist (B)
Donte DiVincenzo
NBA Comparison
Donte DiVincenzo
2023-24
85%
Style
85%
Level
6'4" · 203lbs
15.5/3.7/2.7 (PPG/RPG/APG)
Efficient scorer 3PT specialist Lockdown defender
Alt comp
OG Anunoby
2024-25 · 76%
2050 Projection
Peak Ridge: 13.2
Stage: Declining
Peak Age: 31 (past peak)
Future Value: 62
Stat Value Pctl
Per Game
PPG 7.4 41
RPG 2.5 37
APG 1.6 47
SPG 1.1 68
BPG 0.3 48
MPG 17.8 41
Shooting
FG% 0.467 53
3P% 0.397 74
FT% 0.854 65
TS% 0.6 71
Impact
Impact 55 69
Off Impact 56 72
Def Impact 52 66
Advanced
Player Efficiency Rating 14.2 48
WS 3.8 64
Box Score Impact 3.5 88
Value Over Replacement 2.0 77
Positional BSI 2.39 +1.11

Strengths & Weaknesses (Win Model)

Strengths
On-Ball Perimeter Defense 17 (coef=0.0330)
Defensive Rebounding 15 (coef=0.0226)
3PT Shooting 17 (coef=0.0196)
Spacing 16 (coef=0.0196)
Offensive Rebounding 19 (coef=0.0160)
Weaknesses
Post Defense 2 (coef=0.0333)
Passing 7 (coef=0.0156)
Shoot Off Dribble 4 (coef=0.0134)
Isolation Execution 8 (coef=0.0062)

Expected vs Actual Production

Stat Actual Expected Delta
PPG 7.4 9.4 -2.0
RPG 2.5 3.5 -1.0
APG 1.6 0.5 +1.1
SPG 1.1 1.0 +0.1
BPG 0.3 0.3 -0.0
TPG - 1.0
FG% 0.467 0.5 +0.0
3P% 0.397 0.4 +0.0
FT% 0.854 0.5 +0.4

Play Style

Driving Frequency
23:77%

Positional Fit

Guard 80%
Wing 90%
Big 80%

Player Impact Breakdown

Solid starter score driven by solid On-Court Impact.

55 / 100 #150 of 435
On-Court Impact — 60% weight +0.64z
On-Court Impact +1.62 (Off +1.52, Def +0.10)
Win-Model Ratings — 25% weight -0.11z
Win Model Score: 3.4465
Hidden Intangibles — 15% weight +0.00z
Hidden Rating Impact: +0.0000 (actual vs predicted from ratings)
Offense
56
#138
Defense
52
#179
Confidence
94%
1425 min
Position Model (SF)
Predicted Positional BSI: 2.39 Actual: 3.5 +1.11
Significantly outperforming SF model predictions

Future Value

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

62 / 100 #72 of 450
Cumulative Wins — 50% weight 57
Peak Ceiling — 20% weight 59
Contract Surplus — 30% weight 70
Future Value above current Impact (55) — trajectory is positive

League Percentile Profile

PPG
28
TS%
71
BPM
87
WS/48
72
RAPM
82
USG%
33
PA/100
49
BCI
42

Shot Quality

PA/100
-0.78
Points Added
-4.7
Selection
1.051
FGA
604
Zone Breakdown
Short Midrange
27.2%
81 FGA (13%)
Above Break Three
39.6%
293 FGA (48%)
Rim
53.8%
199 FGA (33%)
Long Midrange
38.7%
31 FGA (5%)

Creation & Scoring Load

Box Creation
7.30
Load Tier
Good
Eff Delta
+2.5%
USG%
17.0%
Tendencies
Salary
$6.0M
Years Left
2
Expiry
2052
Option
Team Option
Status
-
Trade Value
0.493

Contract Breakdown

Season Salary Notes
2050-51 $6,000,000 Re-signed with Cincinnati Kings
2051-52 $6,000,000
Total Owed $12,000,000

Win Model Development

Win Model Score
3.446
Expected WM
3.613
Dev Residual
-0.1662
Peak Age
26
Peak Win Model
3.338
PA Tier
Low
Upside Gap
-2.0
Dev Status
Behind 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
A
Arik Mills Minneapolis Blizzards 27 4.5 98.2% Secondary Creator / Wing Stopper
A
Arif Langston Chicago Jailbirds 29 5.0 98.1% Stationary Shooter / Wing Stopper
L
LaRon Adams Seattle Thunder 28 4.5 97.9% Movement Shooter / Wing Stopper
G
Gregor Zorko Toronto Huskies 20 3.0 97.6% Secondary Creator / Wing Stopper
G
Garvin Crouch San Diego Calaveras 21 3.0 96.6% Secondary Creator / Wing Stopper

Predicted Archetype

Offensive
Defensive

Win Value Development

Stage
Declining
Peak Age
31
Peak Win Value
13.2
Years to Peak
-4
Current Win Value
13.2
Confidence
LOW

Win Value Trajectory

Empirical Dev Curve (Multiverse)

Current WV
2.606
Projected Peak WV
2.610
Peak Age
31
Years to Peak
1
WV Growth
+0.004

Rating Trainability

Rating Current Growth/yr Class Peak Age
Foul Drawing 14 +1.23 High Growth 31
Help Defense 17 +0.66 High Growth 27
Off-Ball Defense 17 +0.55 High Growth 28
Ball Dominance 12 +0.55 High Growth 28
Gravity 17 +0.52 High Growth 29
Spacing 16 +0.45 High Growth 18
Post Execution 5 +0.40 High Growth 29
Playmaking 15 +0.40 High Growth 29
Stealing 19 +0.38 High Growth 19
Finishing 19 +0.37 High Growth 27
Defensive Rebounding 15 +0.37 High Growth 18
Offensive Rebounding 19 +0.36 High Growth 18
Strength 14 +0.35 High Growth 18
Pick & Roll Execution 11 +0.34 High Growth 18
Passing 7 +0.33 High Growth 18
Self-Creation 15 +0.32 High Growth 19
Isolation Execution 8 +0.32 High Growth 18
3PT Shooting 17 +0.31 High Growth 19
Ball Handling 16 +0.30 High Growth 19
On-Ball Perimeter Defense 17 +0.30 High Growth 18
Shoot Off Dribble 4 +0.28 Moderate Growth 18
Rim Protection 8 +0.26 Moderate Growth 18
Inside Shooting 17 +0.25 Moderate Growth 18
Post Defense 2 +0.17 Moderate Growth 18
Basketball IQ 16 +0.07 Low Growth 19
Endurance 16 +0.05 Low Growth 20
Speed 17 +0.01 Low Growth 18
Free Throws 18 +0.00 Unknown -
First Step 13 -0.01 Low Growth 18
Mid-Range Shooting 19 -0.03 Low Growth 19
Quickness 14 -0.08 Low Growth 19
Athleticism 19 -0.08 Low Growth 19
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