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Ryan Burke Elite Prospects ↗

Position: Forward DOB: 2003-03-06 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
2020-21 Navan Grads CCHL 0 0 0 0 0.000 — — — —
2021-22 Navan Grads CCHL 55 25 35 60 1.091 0.3483 0.3524 0.8445 0.8544
2022-23 Shreveport Mudbugs NAHL 58 12 24 36 0.621 0.2459 0.2425 0.6517 0.6426
2023-24 Shreveport Mudbugs NAHL 58 23 40 63 1.086 0.4304 0.4038 1.1404 1.0699
■ 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
2008-09 SUNY Plattsburgh D3 — SR 24 0 3 3 0.125
2007-08 SUNY Plattsburgh D3 — JR 22 1 2 3 0.136
2006-07 SUNY Plattsburgh D3 — SO 12 0 1 1 0.083
2005-06 SUNY Plattsburgh D3 — FR 23 0 3 3 0.130

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
2%
NCAA D2/D3
57%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#11472
Forward overall
#518
Forward born in 2003

D1 Comparables

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
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG

D2/3 Comparables

Brett Everson
Utica · 2016-17
0.895 Strong
actual D2/3 PPG
Cole Stewart
Southern New Hampshire · 2017-18
0.462 Average
actual D2/3 PPG
Bryan Black
SUNY Potsdam · 2008-09
0.818 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.