IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Riley See Elite Prospects ↗

Position: Forward DOB: 2003-11-06 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
2019-20 Olds Grizzlys AJHL 5 0 1 1 0.200 0.0671 0.0671 0.1851 0.1851
2020-21 Olds Grizzlys AJHL 12 0 2 2 0.167 0.0559 0.0559 0.1543 0.1543
2021-22 Whitecourt Wolverines AJHL 52 2 4 6 0.115 0.0387 0.0405 0.1068 0.1118
2022-23 Weyburn Red Wings SJHL 23 4 4 8 0.348 0.0891 0.0901 0.2622 0.2652
2023-24 Northern Manitoba Blizzard MJHL 57 23 21 44 0.772 0.1486 0.1417 0.4868 0.4641
■ 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
2024-25 Fredonia D3 SUNYAC FR 16 0 5 5 0.312
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.31
2024-25 · Fredonia
+201.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
5%
NCAA D2/D3
57%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#39163
Forward overall
#2446
Forward born in 2003

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Connor McBride
St. Thomas · 2011-12
0.560 Average
actual D2/3 PPG
Anthony Bax
Utica · 2023-24
0.433 Average
actual D2/3 PPG
Mark Barton
Suffolk · 2016-17
0.400 Average
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.