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Cameron Colberg Elite Prospects ↗

Position: Forward DOB: 2003-08-19 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
2020-21 Texas Jr. Brahmas NA3HL 9 1 4 5 0.556 0.0697 0.0697 0.1754 0.1754
2021-22 Texas Jr. Brahmas NA3HL 46 11 18 29 0.630 0.0791 0.0824 0.1990 0.2072
2022-23 Texas Jr. Brahmas NA3HL 22 8 9 17 0.773 0.0970 0.0966 0.2439 0.2429
2023-24 Texas Jr. Brahmas NA3HL 43 14 16 30 0.698 0.0876 0.0830 0.2203 0.2088
■ 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 University of Oklahoma ACHA_D1 — — 1 0 0 0 0.000
2024-25 University of Oklahoma ACHA_D1 — — 1 0 0 0 0.000
2023-24 University of Oklahoma ACHA_D1 — — 1 0 0 0 0.000
2022-23 University of Oklahoma ACHA_D1 — — 1 0 0 0 0.000
2021-22 University of Oklahoma ACHA_D1 — — 1 0 0 0 0.000
2020-21 University of Oklahoma ACHA_D1 — — 1 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#34662
Forward overall
#2113
Forward born in 2003
#1475
in NA3HL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Anthony Orubor
Marian · 2016-17
0.000 No data
actual D2/3 PPG
Myles Yearwood
Elmira · 2023-24
0.250 Developing
actual D2/3 PPG
Josh Hinderliter
Trine · 2016-17
0.333 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.