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Cameron Berg Elite Prospects ↗

Position: Forward DOB: 2002-01-29 Country: USA
2021 · Round 4, Pick #125  ·  New York Islanders New York Islanders
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
2018-19 Omaha Lancers USHL 51 3 7 10 0.196 0.1157 0.1261 0.5890 0.6420
2019-20 — USHL 46 20 14 34 0.739 0.4360 0.4360 2.2198 2.2198
2020-21 Muskegon Lumberjacks USHL 51 27 31 58 1.137 0.6709 0.6709 3.4158 3.4158
■ 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
2024-25 North Dakota D1 NCHC — 26 12 10 22 0.846
2023-24 North Dakota D1 NCHC — 40 20 17 37 0.925
2022-23 Nebraska Omaha D1 NCHC — 37 10 14 24 0.649
2021-22 Nebraska Omaha D1 NCHC — 37 8 15 23 0.622
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.62
2021-22 · Nebraska Omaha
+476.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
0%
NCAA D2/D3
72%
Pro / Other

NCAAe Rankings

#6043
Forward overall
#268
Forward born in 2002
#366
in USHL

D1 Comparables

Jared Fiegl
USHL · 2012-13 · 0.21 PPG
→ Cornell (0.04 D1 FR PPG)
0.13 Developing
NCAAe PPG
Dylan Pavelek
USHL · 2012-13 · 0.33 PPG
→ Michigan State
0.21 No data
NCAAe PPG
Michael Booth
USHL · 2012-13 · 0.24 PPG
→ Boston College (0.16 D1 FR PPG)
0.16 Developing
NCAAe PPG
Joe Snively
USHL · 2012-13 · 0.33 PPG
→ Yale (0.88 D1 FR PPG)
0.21 Elite
NCAAe PPG
Alec Marsh
USHL · 2012-13 · 0.28 PPG
→ Penn State (0.57 D1 FR PPG)
0.17 Strong
NCAAe PPG

D2/3 Comparables

Marlon Gardner
Neumann · 2003-04
1.067 Elite
actual D2/3 PPG
Jake Suede
Adrian · 2017-18
0.643 Average
actual D2/3 PPG
Richard Manley
SUNY Geneseo · 2006-07
1.150 Elite
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.