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Ryan Schelling Elite Prospects ↗

Position: Forward DOB: 2004-04-09 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
2021-22 New Jersey Rockets NCDC 45 14 15 29 0.644 0.3593 0.3903 0.5211 0.5661
2022-23 Northeast Generals NAHL 59 11 31 42 0.712 0.2821 0.2936 0.7474 0.7778
2023-24 — BCHL 50 13 24 37 0.740 0.2757 0.2684 1.0783 1.0497
2024-25 Langley Rivermen BCHL 54 29 46 75 1.389 0.5174 0.4777 2.0238 1.8684
■ 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 Dartmouth D1 ECAC FR 33 6 5 11 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.33
2025-26 · Dartmouth
-1.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
0%
NCAA D2/D3
55%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#9441
Forward overall
#381
Forward born in 2004

D1 Comparables

Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.52 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Jonathan Schultz
St. Norbert · 2001-02
1.125 Elite
actual D2/3 PPG
Rick Cleaver
Norwich · 2003-04
1.235 Elite
actual D2/3 PPG
Alex Botten
SUNY Oswego · 2012-13
1.133 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.