IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Austin Bellefeuille Elite Prospects ↗

Position: Forward DOB: 1998-08-14 Country: USA
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
2018-19 Carleton Place Canadians CCHL 9 0 3 3 0.333 0.0723 0.0677 0.2579 0.2414
■ 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 Curry D3 CNE — 28 4 11 15 0.536
2022-23 Curry D3 CNE — 21 2 3 5 0.238
2021-22 Nichols D3 CNE GR 24 4 5 9 0.375
2020-21 Nichols D3 CNE SR 4 3 2 5 1.250
2019-20 Nichols D3 CNE JR 11 0 1 1 0.091
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.09
2019-20 · Nichols
+56.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
8%
NCAA D2/D3
65%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#18573
Forward overall
#883
Forward born in 1998
#300
in CCHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Emerson Emery
Albertus Magnus · 2018-19
0.000 No data
actual D2/3 PPG
Dylan McElhinny
Anna Maria · 2023-24
0.385 Average
actual D2/3 PPG
Gabriel Chuckran
UMass Boston · 2014-15
0.323 Developing
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.