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Vince Elie Elite Prospects ↗

Position: Forward DOB: 2005-04-05 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
2022-23 Saint John Sea Dogs QMJHL 65 11 16 27 0.415 0.2041 0.2140 1.1092 1.1633
2023-24 Shawinigan Cataractes QMJHL 67 22 40 62 0.925 0.4546 0.4543 2.4711 2.4696
2024-25 Shawinigan Cataractes QMJHL 64 26 43 69 1.078 0.5297 0.5033 2.8789 2.7356
2025-26 Shawinigan Cataractes QMJHL 51 24 28 52 1.020 0.5009 0.4523 2.7226 2.4585
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
5%
NCAA D2/D3
38%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#5798
Forward overall
#174
Forward born in 2005
#197
in QMJHL

D1 Comparables

Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

Clarkson Alumni similar profiles who attended this school

Jared Mangan
USHL 2023-24
0.29
actual FR PPG at Clarkson
David Silye
BCHL 2019-20
0.18
actual FR PPG at Clarkson
Daimon Gardner
USHS-MN 2021-22
0.21
actual FR PPG at Clarkson
Nico Sturm
USHL 2015-16
0.54
actual FR PPG at Clarkson

D2/3 Comparables

Jason Kalinowski
Endicott · 2015-16
1.310 Elite
actual D2/3 PPG
Jason Yuel
Curry · 2006-07
1.769 Elite
actual D2/3 PPG
Rihards Marenis
Aurora · 2013-14
1.000 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.