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Jarvis Cannon

Jarvis Cannon

SF

Oakland Tritons · Versatile Big / Mobile Big

College:
· Fresno, California

Gritty rim-protecting center

A star-level scoring wing averaging 16.7 PPG, 5.9 RPG, 0.8 APG. Excels in offensive rebounding (19 rating, 99th pctl), pick-and-roll execution (19 rating, 99th pctl) and rim protection (19 rating, 99th pctl). Limited by foul drawing (6 rating, 2nd pctl) and endurance (4 rating, 4th pctl).

58
Impact
30
Future
5.0
CA
3.0
PA
27
Age
$29.0M
Salary
3.330
Bal WV

Skill Badges

(8)
O Post Hub (S) O Glass Cleaner (B) O Floater Game (B) O Lob Threat (B) O PnR Maestro (B) O Posterizer (B) D Rim Eraser (S) D Paint Wall (S)
Kevin Durant
NBA Comparison
Kevin Durant
2024-25
63%
Style
63%
Level
6'11" · 240lbs
26.6/6.0/4.2 (PPG/RPG/APG)
Volume scorer Rim protector
Alt comp
Jaren Jackson Jr.
2024-25 · 57%
2050 Projection
Peak Ridge: 11.8
Stage: Developing
Peak Age: 29 (2yr away)
Future Value: 30
Stat Value Pctl
Per Game
PPG 16.7 86
RPG 5.9 79
APG 0.8 25
SPG 0.5 41
BPG 1.4 83
MPG 24.2 56
Shooting
FG% 0.491 65
3P% 0.394 72
FT% 0.796 40
TS% 0.598 68
Impact
Impact 58 76
Off Impact 51 57
Def Impact 61 83
Advanced
Player Efficiency Rating 17.1 78
WS 0.3 16
Box Score Impact -4.8 5
Value Over Replacement -1.3 3
Positional BSI -2.51 -2.29

Strengths & Weaknesses (Win Model)

Strengths
Post Defense 17 (coef=0.0333)
3PT Shooting 17 (coef=0.0196)
Rim Protection 19 (coef=0.0168)
Offensive Rebounding 19 (coef=0.0160)
Inside Shooting 19 (coef=0.0155)
Weaknesses
On-Ball Perimeter Defense 3 (coef=0.0330)
Spacing 5 (coef=0.0196)
Passing 8 (coef=0.0156)
Stealing 3 (coef=0.0145)
Shoot Off Dribble 3 (coef=0.0134)

Expected vs Actual Production

Stat Actual Expected Delta
PPG 16.7 10.4 +6.3
RPG 5.9 7.2 -1.3
APG 0.8 0.5 +0.3
SPG 0.5 0.1 +0.4
BPG 1.4 1.5 -0.1
TPG - 1.0
FG% 0.491 0.5 +0.0
3P% 0.394 0.4 +0.0
FT% 0.796 0.5 +0.3

Play Style

Driving Frequency
11:89%

Positional Fit

Guard 40%
Wing 60%
Big 90%

Player Impact Breakdown

Solid starter score driven by strong On-Court Impact. Underperforms what his visible ratings predict.

58 / 100 #117 of 435
On-Court Impact — 60% weight +0.94z
On-Court Impact +2.37 (Off +0.83, Def +1.46)
Win-Model Ratings — 25% weight -0.10z
Win Model Score: 3.3126
Hidden Intangibles — 15% weight +0.00z
Hidden Rating Impact: +0.0000 (actual vs predicted from ratings)
Offense
51
#209
Defense
61
#77
Confidence
98%
1861 min
Position Model (PF)
Predicted Positional BSI: -2.51 Actual: -4.8 -2.29
Significantly underperforming 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.

30 / 100 #503 of 450
Cumulative Wins — 50% weight 42
Peak Ceiling — 20% weight 42
Contract Surplus — 30% weight 3
Future Value well below current Impact (58) — likely declining asset

League Percentile Profile

PPG
83
TS%
69
BPM
4
WS/48
6
RAPM
82
USG%
92
PA/100
64
BCI
1

Shot Quality

PA/100
+2.39
Points Added
+25.5
Selection
1.060
FGA
1067
Zone Breakdown
Short Midrange
32.9%
140 FGA (13%)
Rim
57.0%
470 FGA (44%)
Above Break Three
39.1%
435 FGA (41%)
Other
36.4%
11 FGA (1%)
Long Midrange
45.5%
11 FGA (1%)

Creation & Scoring Load

Box Creation
1.57
Load Tier
Good
Eff Delta
+2.0%
USG%
27.7%
Tendencies
Salary
$29.0M
Years Left
2
Expiry
2052
Option
Player Option
Status
-
Trade Value
0.479

Contract Breakdown

Season Salary Notes
2050-51 $29,000,000
2051-52 $29,000,000
Total Owed $58,000,000

Win Model Development

Win Model Score
3.313
Expected WM
3.635
Dev Residual
-0.3226
Peak Age
26
Peak Win Model
3.276
PA Tier
Medium
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
D
Derrick Lynch Seattle Thunder 26 5.0 87.4% Secondary Creator / Wing Stopper
K
Kyler Amundson New Orleans Hurricanes 25 4.5 84.7% Secondary Creator / Wing Stopper
R
Rubin Wingfield II Toronto Huskies 0 3.0 84.5% Glue Guy / Wing Stopper
J
Jameel Bucklin New York Renegades 23 3.0 82.9% Glue Guy / Wing Stopper
K
Kenan Aleksic Mexico City Jaguars 25 4.5 82.4% Secondary Creator / Wing Stopper

Predicted Archetype

Offensive
Defensive

Win Value Development

Stage
Developing
Peak Age
29
Peak Win Value
11.8
Years to Peak
2
Current Win Value
11.4
Confidence
HIGH

Win Value Trajectory

Empirical Dev Curve (Multiverse)

Current WV
2.728
Projected Peak WV
2.809
Peak Age
29
Years to Peak
2
WV Growth
+0.082

Rating Trainability

Rating Current Growth/yr Class Peak Age
Foul Drawing 6 +1.23 High Growth 31
Help Defense 18 +0.66 High Growth 27
Off-Ball Defense 9 +0.55 High Growth 28
Ball Dominance 18 +0.55 High Growth 28
Gravity 13 +0.52 High Growth 29
Spacing 5 +0.45 High Growth 18
Post Execution 17 +0.40 High Growth 29
Playmaking 9 +0.40 High Growth 29
Stealing 3 +0.38 High Growth 19
Finishing 14 +0.37 High Growth 27
Defensive Rebounding 14 +0.37 High Growth 18
Offensive Rebounding 19 +0.36 High Growth 18
Strength 18 +0.35 High Growth 18
Pick & Roll Execution 19 +0.34 High Growth 18
Passing 8 +0.33 High Growth 18
Self-Creation 15 +0.32 High Growth 19
Isolation Execution 9 +0.32 High Growth 18
3PT Shooting 17 +0.31 High Growth 19
Ball Handling 3 +0.30 High Growth 19
On-Ball Perimeter Defense 3 +0.30 High Growth 18
Shoot Off Dribble 3 +0.28 Moderate Growth 18
Rim Protection 19 +0.26 Moderate Growth 18
Inside Shooting 19 +0.25 Moderate Growth 18
Post Defense 17 +0.17 Moderate Growth 18
Basketball IQ 15 +0.07 Low Growth 19
Endurance 4 +0.05 Low Growth 20
Speed 3 +0.01 Low Growth 18
Free Throws 14 +0.00 Unknown -
First Step 9 -0.01 Low Growth 18
Mid-Range Shooting 12 -0.03 Low Growth 19
Quickness 5 -0.08 Low Growth 19
Athleticism 15 -0.08 Low Growth 19
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