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Colton Jamieson Elite Prospects ↗

Position: Defense DOB: 2004-11-28 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 Cretin-Derham Hall USHS-MN 19 3 7 10 0.526 0.0666 0.0666 0.1278 0.1278
2021-22 Cretin-Derham Hall USHS-MN 27 1 13 14 0.518 0.0656 0.0656 0.1259 0.1259
2022-23 Madison Capitols USHL 14 1 6 7 0.500 0.2949 0.3035 1.5017 1.5452
2023-24 Madison Capitols USHL 55 5 8 13 0.236 0.1395 0.1366 0.7100 0.6953
2024-25 Madison Capitols USHL 61 10 29 39 0.639 0.3771 0.3501 1.9201 1.7825
■ 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 St. Thomas D1 CCHA FR 18 1 1 2 0.111
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.11
2025-26 · St. Thomas
-55.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

82%
NCAA D1
0%
NCAA D2/D3
8%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#3339
Defenseman overall
#810
Defenseman born in 2004

D1 Comparables

Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Paul LaDue
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.51 D1 FR PPG)
0.43 Elite D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG

D2/3 Comparables

Bailey Conger
UMass Boston · 2016-17
2.500 Elite
actual D2/3 PPG
Roman Ammirato
Utica · 2012-13
1.296 Elite
actual D2/3 PPG
Luke Moodie
SUNY Oswego · 2008-09
0.926 Strong
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.