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Vann Yuhas Elite Prospects ↗

Position: Forward DOB: 2004-02-20 Country: Canada
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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
2021-22 Drumheller Dragons AJHL 58 17 30 47 0.810 0.2689 0.2854 0.7510 0.7971
2022-23 Drumheller Dragons AJHL 60 16 44 60 1.000 0.3318 0.3357 0.9268 0.9378
2023-24 Drumheller Dragons AJHL 54 22 32 54 1.000 0.3318 0.3201 0.9268 0.8941
■ 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 Bemidji State D1 CCHA SO 28 2 6 8 0.286
2024-25 Merrimack D1 HockeyEast — 16 2 0 2 0.125
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.12
2024-25 · Merrimack
-55.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
2%
NCAA D2/D3
22%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#14102
Forward overall
#657
Forward born in 2004
#280
in AJHL

D1 Comparables

Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.29 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.34 Average
NCAAe PPG
Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.35 Developing
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.37 Developing
NCAAe PPG

D2/3 Comparables

Adam Kudynski
Lebanon Valley · 2003-04
0.909 Strong
actual D2/3 PPG
David Italiano
Williams · 2012-13
0.880 Strong
actual D2/3 PPG
Arlen Marshall
Manhattanville · 2004-05
0.840 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.