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Aidan Willis Elite Prospects ↗

Position: Forward DOB: 2005-01-11 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
2020-21 Lakeville South USHS-MN 23 4 18 22 0.957 0.1211 0.1211 0.2322 0.2322
2021-22 Lakeville South USHS-MN 30 14 29 43 1.433 0.1815 0.1815 0.3480 0.3480
2022-23 Chippewa Steel NAHL 10 1 2 3 0.300 0.1102 0.1189 0.3171 0.3420
2023-24 Chippewa Steel NAHL 59 12 15 27 0.458 0.1681 0.1733 0.4836 0.4985
2024-25 Salmon Arm Silverbacks BCHL 54 6 21 27 0.500 0.1926 0.1851 0.7272 0.6989
■ 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
2026-27 Air Force D1 AHA SO 0 0 0 0 0.000
2025-26 Air Force D1 AHA FR 34 3 7 10 0.294
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.29
2025-26 · Air Force
+90.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
20%
NCAA D2/D3
38%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#33731
Forward overall
#2002
Forward born in 2005

D1 Comparables

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

D2/3 Comparables

P.A. Martineau
Hobart · 2016-17
0.357 Average
actual D2/3 PPG
Connor Beatty
Endicott · 2018-19
1.333 Elite
actual D2/3 PPG
Jonny Ruiz
Johnson & Wales · 2013-14
0.731 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.