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Ryan Smith Elite Prospects ↗

Position: Forward DOB: 2005-10-03 Country: USA
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
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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 Tri-City Storm USHL 1 0 0 0 0.000 — — — —
2022-23 Tri-City Storm USHL 32 5 6 11 0.344 0.2113 0.2264 1.0129 1.0851
2023-24 Tri-City Storm USHL 60 24 14 38 0.633 0.3893 0.3977 1.8658 1.9062
■ 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 Miami D1 NCHC — 36 9 10 19 0.528
2024-25 Quinnipiac D1 ECAC — 34 2 3 5 0.147
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.15
2024-25 · Quinnipiac
-47.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

75%
NCAA D1
5%
NCAA D2/D3
15%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#14216
Forward overall
#718
Forward born in 2005
#1423
in USHL

D1 Comparables

Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.41 Developing
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.43 Developing
NCAAe PPG
Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.33 Strong
NCAAe PPG
Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
C.J. Smith
NAHL · 2012-13 · 0.98 PPG
→ UMass Lowell (0.90 D1 FR PPG)
0.42 Elite
NCAAe PPG

D2/3 Comparables

Zach Tarantino
UMass Dartmouth · 2017-18
0.667 Strong
actual D2/3 PPG
Brycon Johnson
Bryn Athyn · 2014-15
0.778 Strong
actual D2/3 PPG
Donny Flynn
Wilkes · 2015-16
1.423 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.