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Maël St-Denis Elite Prospects ↗

Position: Forward DOB: 2005-05-15 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
2021-22 Rimouski Océanic QMJHL 61 5 8 13 0.213 0.1047 0.1155 0.5690 0.6276
2022-23 Rimouski Océanic QMJHL 46 9 15 24 0.522 0.2563 0.2702 1.3931 1.4686
2023-24 Rimouski Océanic QMJHL 67 32 26 58 0.866 0.4253 0.4274 2.3117 2.3230
2024-25 Rimouski Océanic QMJHL 54 22 19 41 0.759 0.3730 0.3565 2.0276 1.9379
■ 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 — 32 3 6 9 0.281
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.28
2025-26 · Clarkson
-14.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
2%
NCAA D2/D3
18%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#11308
Forward overall
#521
Forward born in 2005
#413
in QMJHL

D1 Comparables

Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State
0.36 No data
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.41 Developing
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.35 Developing
NCAAe PPG
Luc Gerdes
NAHL · 2012-13 · 0.80 PPG
→ Colorado College (0.25 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Nicholas Cyprian
Chatham · 2021-22
0.880 Strong
actual D2/3 PPG
Lee Stubbs
Manhattanville · 2000-01
1.115 Elite
actual D2/3 PPG
Dylan Clarke
SUNY Plattsburgh · 2006-07
1.267 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.