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Brayden Schuurman Elite Prospects ↗

Position: Forward DOB: 2004-02-22 Country: Canada
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 Victoria Royals WHL 1 0 0 0 0.000 — — — —
2020-21 Victoria Royals WHL 22 5 6 11 0.500 0.2432 0.2432 1.2251 1.2251
2021-22 Victoria Royals WHL 68 29 25 54 0.794 0.3863 0.3997 1.9458 2.0134
2022-23 Victoria Royals WHL 39 16 13 29 0.744 0.3618 0.3575 1.8220 1.8004
2023-24 Moose Jaw Warriors WHL 66 20 28 48 0.727 0.3538 0.3322 1.7821 1.6731
2024-25 Seattle Thunderbirds WHL 39 13 25 38 0.974 0.4740 0.4197 2.3876 2.1140
■ 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 Colorado College D1 NCHC FR 36 4 5 9 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.25
2025-26 · Colorado College
-24.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
2%
NCAA D2/D3
78%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#8323
Forward overall
#315
Forward born in 2004
#398
in WHL

D1 Comparables

David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Trevor Mingoia
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.49 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG

D2/3 Comparables

Brett Gravelle
St. Thomas · 2015-16
0.923 Strong
actual D2/3 PPG
Ryan Bloom
New England · 2013-14
1.654 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2003-04
1.704 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.