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Cameron Clark Elite Prospects ↗

Position: Forward DOB: 1999-01-07 Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2016-17 Rochester Rivermen NA3HL 27 9 14 23 0.852 0.0942 0.0999 0.2689 0.2852
2018-19 Hearst Lumberjacks NOJHL 50 17 16 33 0.660 0.0940 0.0898 0.2748 0.2624
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2023-24 Morrisville D3 SUNYAC — 25 8 6 14 0.560
2023-24 SUNY Morrisville D3 SUNYAC SR 25 8 6 14 0.560
2022-23 SUNY Morrisville D3 SUNYAC JR 25 12 15 27 1.080
2021-22 SUNY Morrisville D3 SUNYAC SO 23 4 3 7 0.304
2020-21 SUNY Morrisville D3 SUNYAC FR 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
8%
NCAA D2/D3
30%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

#32681
Forward overall
#1754
Forward born in 1999

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Jack Sullivan
Colby · 2018-19
0.000 No data
actual D2/3 PPG
Jonathan Sonedecker
St. John Fisher · 2023-24
0.286 Developing
actual D2/3 PPG
D.J. Walsh
SUNY Cortland · 2022-23
0.300 Developing
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.