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Cade Ahrenholz Elite Prospects ↗

Position: Forward DOB: 2002-11-30 Country: USA
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 Lakeville South USHS-MN 29 18 15 33 1.138 0.1402 0.1402 0.2764 0.2764
2020-21 Lakeville South USHS-MN 23 21 18 39 1.696 0.2089 0.2089 0.4119 0.4119
2021-22 Omaha Lancers USHL 57 13 6 19 0.333 0.1966 0.1929 0.9820 0.9636
■ 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 Alaska Fairbanks D1 WCHA SR 15 2 4 6 0.400
2024-25 Alaska Fairbanks D1 — — 24 3 1 4 0.167
2023-24 Alaska Fairbanks D1 — — 23 5 0 5 0.217
2022-23 Colorado College D1 NCHC — 14 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
5%
NCAA D2/D3
42%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#14914
Forward overall
#763
Forward born in 2002

D1 Comparables

Kenny Gillespie
USHL · 2012-13 · 0.37 PPG
→ RPI (0.20 D1 FR PPG)
0.21 Developing
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Austin Vieth
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.18 Developing
NCAAe PPG
Canon Pieper
USHL · 2012-13 · 0.28 PPG
→ Quinnipiac (0.08 D1 FR PPG)
0.16 Developing
NCAAe PPG

D2/3 Comparables

Brian Sanzone
Colby · 2016-17
0.385 Average
actual D2/3 PPG
Michael Leone
Utica · 2006-07
1.462 Elite
actual D2/3 PPG
Mitchell Herlihey
SUNY Oswego · 2012-13
1.080 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.