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Justin Sullivan Elite Prospects ↗

Position: Forward DOB: 2004-09-28 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 Baie-Comeau Drakkar QMJHL 12 0 1 1 0.083 0.0409 0.0409 0.2224 0.2224
2021-22 — QMJHL 44 6 7 13 0.295 0.1452 0.1556 0.7891 0.8457
2022-23 Victoriaville Tigres QMJHL 25 1 4 5 0.200 0.0983 0.1005 0.5341 0.5463
■ 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 Albertus Magnus D3 UCHC FR 24 10 6 16 0.667
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.67
2025-26 · Albertus Magnus
+535.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
8%
NCAA D2/D3
18%
Age-Out / Club
55%
Pro / Other

NCAAe Rankings

#46841
Forward overall
#3172
Forward born in 2004
#1452
in QMJHL

D1 Comparables

Ryan Fitzgerald
NTDP-U18 · 2012-13 · 0.12 PPG
→ Boston College (0.72 D1 FR PPG)
0.09 Strong
NCAAe PPG
Cédric Lacroix
USHL · 2012-13 · 0.13 PPG
→ Maine (0.28 D1 FR PPG)
0.08 Developing
NCAAe PPG
Ian Mansfield
USHL · 2012-13 · 0.23 PPG
→ Army (0.23 D1 FR PPG)
0.14 Developing
NCAAe PPG
Bo Pieper
USHL · 2012-13 · 0.19 PPG
→ Quinnipiac (0.34 D1 FR PPG)
0.12 Developing
NCAAe PPG
Matt Gaudreau
USHL · 2012-13 · 0.33 PPG
→ Boston College (0.12 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Dakota Dubetz
Marian · 2006-07
1.333 Elite
actual D2/3 PPG
Kevin Leonard
Western New England · 2000-01
0.588 Average
actual D2/3 PPG
Marco Taffo
Misericordia · 2021-22
0.000 No data
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.