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Hunter Friesen Elite Prospects ↗

Position: Forward DOB: 2002-11-23 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 Selkirk Steelers MJHL 6 0 2 2 0.333 0.0906 0.0906 0.2100 0.2100
2021-22 Selkirk Steelers MJHL 32 1 1 2 0.062 0.0170 0.0171 0.0394 0.0396
2022-23 — NOJHL 52 17 19 36 0.692 0.1761 0.1668 0.2872 0.2720
■ 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 Arizona State ACHA_D1 — — 28 1 9 10 0.357
2024-25 Arizona State ACHA_D1 — — 28 1 9 10 0.357
2023-24 Arizona State ACHA_D1 — — 28 1 9 10 0.357
2022-23 Arizona State ACHA_D1 — — 28 1 9 10 0.357
2021-22 Arizona State ACHA_D1 — — 28 1 9 10 0.357
2020-21 Arizona State ACHA_D1 — — 28 1 9 10 0.357

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
15%
NCAA D2/D3
55%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#42973
Forward overall
#2703
Forward born in 2002

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG

D2/3 Comparables

Dayton Deics
St. Norbert · 2021-22
0.450 Average
actual D2/3 PPG
Elowan Orme-Lynch
St. Scholastica · 2022-23
0.000 No data
actual D2/3 PPG
Brett Fudger
SUNY Oswego · 2021-22
0.385 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.