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Ryan Sullivan Elite Prospects ↗

Position: Forward DOB: 2002-05-15 Country: Canada
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
2019-20 Olds Grizzlys AJHL 2 0 0 0 0.000 — — — —
2020-21 Camrose Kodiaks AJHL 9 4 4 8 0.889 0.2949 0.2949 0.8238 0.8238
2021-22 Camrose Kodiaks AJHL 59 16 39 55 0.932 0.3093 0.3009 0.8640 0.8407
2022-23 Camrose Kodiaks AJHL 48 20 28 48 1.000 0.3318 0.3064 0.9268 0.8558
■ 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 Colgate D1 ECAC GR 36 7 19 26 0.722
2024-25 Colgate D1 ECAC SR 23 5 10 15 0.652
2023-24 Colgate D1 ECAC JR 35 6 7 13 0.371
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.37
2023-24 · Colgate
+42.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
2%
NCAA D2/D3
65%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#13684
Forward overall
#685
Forward born in 2002
#256
in AJHL

D1 Comparables

Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG

D2/3 Comparables

Brendan Prappas
Trine · 2018-19
0.929 Strong
actual D2/3 PPG
Mitchell Parsons
SUNY Brockport · 2017-18
0.577 Average
actual D2/3 PPG
Brad Carpenter
Wentworth · 2000-01
1.000 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.