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Félix Gagnon Elite Prospects ↗

Position: Forward DOB: 2004-06-10 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 32 3 3 6 0.188 0.0921 0.0921 0.5007 0.5007
2021-22 Baie-Comeau Drakkar QMJHL 67 8 12 20 0.298 0.1467 0.1550 0.7971 0.8423
2022-23 Baie-Comeau Drakkar QMJHL 62 21 21 42 0.677 0.3328 0.3354 1.8089 1.8230
2023-24 Baie-Comeau Drakkar QMJHL 58 21 37 58 1.000 0.4913 0.4709 2.6703 2.5595
2024-25 Chicoutimi Saguenéens QMJHL 61 24 30 54 0.885 0.4349 0.3955 2.3637 2.1494
■ 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 New Hampshire D1 HockeyEast FR 32 5 7 12 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.36
before college
→
Actual FR PPG
0.38
2025-26 · New Hampshire
+2.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
5%
NCAA D2/D3
18%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#7994
Forward overall
#282
Forward born in 2004
#297
in QMJHL

D1 Comparables

T.J. Sarcona
NAHL · 2012-13 · 1.06 PPG
→ Niagara (0.58 D1 FR PPG)
0.36 Strong
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.46 Developing
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.49 Developing
NCAAe PPG

D2/3 Comparables

Shaquille Merasty
Adrian · 2011-12
1.357 Elite
actual D2/3 PPG
Brett Gravelle
St. Thomas · 2015-16
0.923 Strong
actual D2/3 PPG
Jon Whitelaw
SUNY Oswego · 2008-09
1.357 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.