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Rafael Cloutier Elite Prospects ↗

Position: Forward DOB: 2007-08-22 Country: Canada
Clarkson
ECAC D1

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
2024-25 Blainville-Boisbriand Armada QMJHL 29 3 8 11 0.379 0.1864 0.1993 1.0126 1.0827
2025-26 Blainville-Boisbriand Armada QMJHL 62 10 17 27 0.435 0.2140 0.2187 1.1626 1.1881
2026-27 Rimouski Océanic QMJHL 7 2 6 8 1.143 0.5615 0.5615 3.0511 3.0511
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
0%
NCAA D2/D3
18%
Age-Out / Club
65%
Pro / Other

NCAAe Rankings

#28397
Forward overall
#989
Forward born in 2007
#850
in QMJHL

D1 Comparables

Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.53 Average
NCAAe PPG
J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.59 Developing
NCAAe PPG
Sam Rothstein
USHL · 2012-13 · 0.77 PPG
→ Colorado College (0.57 D1 FR PPG)
0.44 Strong
NCAAe PPG
Riley Bourbonnais
USHL · 2012-13 · 0.78 PPG
→ RPI (0.11 D1 FR PPG)
0.44 Developing
NCAAe PPG
Logan Nelson
WHL · 2012-13 · 0.88 PPG
→ Wisconsin-Stout (0.59 D1 FR PPG)
0.41 Strong
NCAAe PPG

Clarkson Alumni similar profiles who attended this school

Adrian Misaljevic
OHL 2023-24
0.67
actual FR PPG at Clarkson
Justin Côté
QMJHL 2023-24
0.50
actual FR PPG at Clarkson
Rémi Gélinas
QMJHL 2024-25
0.55
actual FR PPG at Clarkson
Josh Dunne
USHL 2017-18
0.72
actual FR PPG at Clarkson

D2/3 Comparables

Gus Katsuras
Hamilton · 2001-02
1.400 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2002-03
1.704 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2016-17
1.448 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.