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Arnaud Vachon Elite Prospects ↗

Position: Forward DOB: 1998-05-13 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
2016-17 Brooks Bandits AJHL 59 23 15 38 0.644 0.2160 0.2211 0.5961 0.6100
2017-18 Brooks Bandits AJHL 53 19 16 35 0.660 0.2215 0.2142 0.6111 0.5910
2018-19 Brooks Bandits AJHL 56 31 33 64 1.143 0.3833 0.3521 1.0576 0.9714
■ 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
2023-24 Augustana D1 CCHA — 34 8 8 16 0.471
2022-23 Colgate D1 ECAC SR 28 2 3 5 0.179
2021-22 Colgate D1 ECAC JR 40 6 8 14 0.350
2020-21 Colgate D1 ECAC SO 22 3 5 8 0.364
2019-20 Colgate D1 ECAC FR 36 6 3 9 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.25
2019-20 · Colgate
-1.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

68%
NCAA D1
2%
NCAA D2/D3
28%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#17061
Forward overall
#802
Forward born in 1998
#343
in AJHL

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
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Aidan Connolly
Salve Regina · 2021-22
0.800 Strong
actual D2/3 PPG
Jason Murfitt
Manhattanville · 2003-04
0.875 Strong
actual D2/3 PPG
Cole Gibson
Milwaukee School of Engineering · 2010-11
1.038 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.