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Cam Martin Elite Prospects ↗

Position: Forward DOB: 2002-06-29 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
2019-20 Chanhassen USHS-MN 19 1 2 3 0.158 0.0195 0.0195 0.0384 0.0384
2021-22 Boston Advantage USPHL-Premier 42 18 25 43 1.024 0.1155 0.1143 0.3483 0.3448
■ 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
2025-26 Johnson & Wales D3 CNE SR 26 2 9 11 0.423
2024-25 Johnson & Wales D3 CNE JR 24 3 9 12 0.500
2023-24 Johnson & Wales D3 CNE SO 25 3 6 9 0.360
2022-23 Johnson & Wales D3 CNE FR 23 2 6 8 0.348
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.35
2022-23 · Johnson & Wales
+431.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D2/D3
0%
Club / ACHA
12%
Other

NCAAe Rankings

#25731
Forward overall
#1452
Forward born in 2002

D1 Comparables

Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG

D2/3 Comparables

Trey Sauder
Wisconsin-Superior · 2022-23
0.333 Developing
actual D2/3 PPG
Jon Chauvin
New England College · 2017-18
0.304 Developing
actual D2/3 PPG
Andrew Blanchard
SUNY Potsdam · 2022-23
0.250 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.