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Aiden VanRooyan Elite Prospects ↗

Position: Defense DOB: 2003-04-20 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 Fargo Force USHL 32 0 1 1 0.031 0.0184 0.0184 0.0937 0.0937
2021-22 Bismarck Bobcats NAHL 53 2 16 18 0.340 0.1248 0.1300 0.3584 0.3732
2022-23 Des Moines Buccaneers USHL 59 3 10 13 0.220 0.1300 0.1233 0.6616 0.6275
2023-24 Des Moines Buccaneers USHL 58 3 16 19 0.328 0.1933 0.1737 0.9839 0.8844
■ 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 Sacred Heart D1 AHA SO 39 3 13 16 0.410
2024-25 Sacred Heart D1 AHA — 32 1 6 7 0.219
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.22
2024-25 · Sacred Heart
+51.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
8%
NCAA D2/D3
32%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#9341
Defenseman overall
#2079
Defenseman born in 2003
#3121
in USHL

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

Dennis Sicard
Buffalo State · 2005-06
0.643 Average
actual D2/3 PPG
Liam Krupcyznski
Westfield State · 2024-25
0.435 Average
actual D2/3 PPG
Otis Goldman
Castleton · 2015-16
0.579 Average
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.