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Ryan Vellucci Elite Prospects ↗

Position: Forward DOB: 2002-12-13 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
2020-21 Johnstown Tomahawks NAHL 4 0 2 2 0.500 0.1776 0.1776 0.5250 0.5250
2021-22 Johnstown Tomahawks NAHL 60 5 11 16 0.267 0.0947 0.0969 0.2800 0.2866
2022-23 Johnstown Tomahawks NAHL 60 11 17 28 0.467 0.1658 0.1616 0.4900 0.4776
■ 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 Adrian D3 NCHA GR 28 7 10 17 0.607
2024-25 Adrian D3 NCHA SR 20 3 2 5 0.250
2023-24 Adrian D3 NCHA JR 16 2 0 2 0.125
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.12
2023-24 · Adrian
+7.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
18%
NCAA D2/D3
50%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#36147
Forward overall
#2205
Forward born in 2002
#3639
in NAHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 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

Scott Voisin
SUNY Potsdam · 2007-08
0.700 Strong
actual D2/3 PPG
Mike Macdonald
SUNY Geneseo · 2000-01
0.769 Strong
actual D2/3 PPG
Zach Bettmeng
Becker · 2017-18
0.375 Average
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.