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Ryan Shaw Elite Prospects ↗

Position: Forward DOB: 2005-01-29 Country: USA
RIT
AHA D1

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 Westminster NE-Prep 25 3 4 7 0.280 0.0555 0.0555 0.1276 0.1276
2022-23 Westminster NE-Prep 26 19 23 42 1.615 0.3200 0.3200 0.7360 0.7360
2023-24 Blackfalds Bulldogs AJHL 42 10 12 22 0.524 0.1757 0.1778 0.4847 0.4904
2024-25 — NAHL 49 13 30 43 0.878 0.3224 0.3162 0.9263 0.9086
2025-26 Rochester Jr. Americans NAHL 53 38 39 77 1.453 0.5338 0.4973 1.5334 1.4286
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
0%
NCAA D2/D3
20%
Age-Out / Club
57%
Pro / Other

NCAAe Rankings

#9068
Forward overall
#369
Forward born in 2005

D1 Comparables

Trevor Mingoia
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.47 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

RIT Alumni similar profiles who attended this school

Ryan Kruper
AJHL 2015-16
0.62
actual FR PPG at RIT
Camden Bajzer
BCHL 2024-25
0.14
actual FR PPG at RIT
Grady Hobbs
MJHL 2020-21
0.37
actual FR PPG at RIT
Todd Skirving
USHL 2012-13
0.65
actual FR PPG at RIT

D2/3 Comparables

Tyler Rudek
Franklin Pierce · 2018-19
0.833 Strong
actual D2/3 PPG
Connor Inger
New England College · 2017-18
0.692 Strong
actual D2/3 PPG
Devin Panzeca
SUNY Potsdam · 2017-18
0.667 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.