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Riley Wallack Elite Prospects ↗

Position: Forward DOB: 2001-04-05 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
2018-19 Langley Rivermen BCHL 48 3 3 6 0.125 0.0482 0.0515 0.1819 0.1943
2019-20 Langley Rivermen BCHL 58 4 5 9 0.155 0.0598 0.0598 0.2259 0.2259
2020-21 Cowichan Valley Capitals BCHL 20 5 3 8 0.400 0.1541 0.1541 0.5821 0.5821
2021-22 Langley Rivermen BCHL 38 22 21 43 1.132 0.4360 0.4001 1.6468 1.5114
■ 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 Ferris State D1 CCHA SR 23 5 3 8 0.348
2024-25 Long Island Univ. D1 AHA — 14 6 5 11 0.786
2022-23 Long Island Univ. D1 AHA — 35 11 9 20 0.571
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.57
2022-23 · Long Island Univ.
+156.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
2%
NCAA D2/D3
30%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#21181
Forward overall
#1038
Forward born in 2001
#1047
in BCHL

D1 Comparables

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)
0.43 Strong
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG

D2/3 Comparables

Jake Cox
Southern New Hampshire · 2017-18
0.808 Strong
actual D2/3 PPG
Ryan Cusin
UMass Boston · 2015-16
1.600 Elite
actual D2/3 PPG
Paul Rodrigues
SUNY Oswego · 2008-09
0.893 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.