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Vincent Paquette Elite Prospects ↗

Position: Forward DOB: 1995-04-12 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
2012-13 Calgary Mustangs AJHL 1 0 0 0 0.000 — — — —
2013-14 Calgary Mustangs AJHL 50 5 6 11 0.220 0.0735 0.0748 0.2042 0.2078
2014-15 Calgary Mustangs AJHL 60 16 26 42 0.700 0.2338 0.2254 0.6498 0.6266
2015-16 Calgary Mustangs AJHL 52 15 32 47 0.904 0.3019 0.2771 0.8390 0.7700
■ 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
2019-20 Adrian D3 NCHA SR 8 5 5 10 1.250
2018-19 Adrian D3 NCHA JR 19 3 2 5 0.263
2017-18 Adrian D3 NCHA SO 20 0 7 7 0.350
2016-17 Adrian D3 NCHA FR 29 14 15 29 1.000
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
1.00
2016-17 · Adrian
+355.6% vs. projection

NCAAe Rankings

#16853
Forward overall
#634
Forward born in 1995
#807
in AJHL

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.29 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Robert Clerc
SUNY Potsdam · 2017-18
0.625 Average
actual D2/3 PPG
Arlen Marshall
Manhattanville · 2005-06
0.840 Strong
actual D2/3 PPG
Jack Johnson
Saint John's · 2018-19
0.957 Strong
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.