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Ray Fust Elite Prospects ↗

Position: Forward DOB: 2002-10-23 Country: Switzerland
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
2020-21 Chilliwack Chiefs BCHL 20 8 2 10 0.500 0.1926 0.1926 0.7277 0.7277
2021-22 — USHL 50 17 11 28 0.560 0.3303 0.3224 1.6819 1.6416
■ 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
2025-26 Sacred Heart D1 AHA SR 39 8 10 18 0.462
2024-25 Clarkson D1 ECAC — 19 2 2 4 0.210
2023-24 Nebraska Omaha D1 NCHC — 37 4 5 9 0.243
2022-23 Nebraska Omaha D1 NCHC — 24 3 6 9 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.38
2022-23 · Nebraska Omaha
+35.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

78%
NCAA D1
5%
NCAA D2/D3
8%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#18152
Forward overall
#958
Forward born in 2002

D1 Comparables

A.J. Fossen
USHL · 2012-13 · 0.55 PPG
→ Clarkson (0.32 D1 FR PPG)
0.31 Developing
NCAAe PPG
Grant Opperman
USHL · 2012-13 · 0.56 PPG
→ Dartmouth (0.61 D1 FR PPG)
0.32 Strong
NCAAe PPG
Judd Peterson
USHL · 2012-13 · 0.57 PPG
→ St. Cloud State (0.19 D1 FR PPG)
0.32 Developing
NCAAe PPG
Villiam Haag
USHL · 2012-13 · 0.64 PPG
→ Michigan State (0.37 D1 FR PPG)
0.37 Average
NCAAe PPG
Peter Krieger
NAHL · 2012-13 · 0.92 PPG
→ Alaska Fairbanks (0.39 D1 FR PPG)
0.34 Average
NCAAe PPG

D2/3 Comparables

Dante Spagnuolo
Adrian · 2017-18
1.000 Elite
actual D2/3 PPG
Jon Whitelaw
SUNY Oswego · 2007-08
1.357 Elite
actual D2/3 PPG
Pat Egan
SUNY Plattsburgh · 2013-14
1.080 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.