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Aiden Dufault Elite Prospects ↗

Position: Defense DOB: 2003-11-06 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
2020-21 Neepawa Titans MJHL 6 0 0 0 0.000 — — — —
2021-22 Winnipeg Monarchs MJHL 48 2 12 14 0.292 0.0562 0.0591 0.1838 0.1934
2022-23 Winnipeg Monarchs MJHL 53 6 16 22 0.415 0.0799 0.0804 0.2616 0.2631
■ 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 Buffalo State D3 SUNYAC SO 25 1 3 4 0.160
2024-25 Buffalo State D3 SUNYAC — 23 1 2 3 0.130
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.13
2024-25 · Buffalo State
+92.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
10%
NCAA D2/D3
28%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#19628
Defenseman overall
#3372
Defenseman born in 2003
#1506
in MJHL

D1 Comparables

Mike Preston
USHL · 2012-13 · 0.07 PPG
→ Army (0.16 D1 FR PPG)
0.04 Average D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Cliff Watson
USHL · 2012-13 · 0.18 PPG
→ Michigan Tech (0.10 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Eric Schurhamer
USHL · 2012-13 · 0.24 PPG
→ Maine (0.37 D1 FR PPG)
0.14 Strong D
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG

D2/3 Comparables

Daniel McMullan
Bowdoin · 2013-14
0.478 Average
actual D2/3 PPG
Rex Moe
Adrian · 2017-18
0.286 Developing
actual D2/3 PPG
Brandon O'Quinn
SUNY Plattsburgh · 2012-13
0.500 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.