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Justin Côté Elite Prospects ↗

Position: Forward DOB: 2004-07-11 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 Drummondville Voltigeurs QMJHL 34 17 8 25 0.735 0.3613 0.3613 1.9635 1.9635
2021-22 Drummondville Voltigeurs QMJHL 64 26 30 56 0.875 0.4299 0.4561 2.3365 2.4788
2022-23 Drummondville Voltigeurs QMJHL 31 15 11 26 0.839 0.4121 0.4171 2.2396 2.2666
2023-24 Drummondville Voltigeurs QMJHL 68 32 35 67 0.985 0.4841 0.4661 2.6310 2.5330
2024-25 Québec Remparts QMJHL 54 32 27 59 1.093 0.5368 0.4904 2.9176 2.6653
■ 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 Clarkson D1 ECAC — 38 11 8 19 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.41
before college
→
Actual FR PPG
0.50
2025-26 · Clarkson
+21.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
0%
NCAA D2/D3
32%
Age-Out / Club
48%
Pro / Other

NCAAe Rankings

#5997
Forward overall
#177
Forward born in 2004
#203
in QMJHL

D1 Comparables

Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.49 Developing
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.46 Developing
NCAAe PPG
Tim Bonner
USHL · 2012-13 · 0.89 PPG
→ Yale
0.48 No data
NCAAe PPG
Jared VanWormer
NAHL · 2012-13 · 1.27 PPG
→ Ferris State (0.19 D1 FR PPG)
0.44 Developing
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG

D2/3 Comparables

Christopher Miraldo
Westfield State · 2022-23
1.037 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2023-24
1.120 Elite
actual D2/3 PPG
Zach Dill
Salem State · 2021-22
1.111 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.