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Wyatt Aamodt Elite Prospects ↗

Position: Defense DOB: 1997-11-22 Country: USA
Signed Professionally

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
2014-15 — USHS-MN 25 9 24 33 1.320 0.1671 0.1647 0.3206 0.3160
2015-16 — USHL 13 0 1 1 0.077 0.0454 0.0469 0.2310 0.2386
2016-17 — USHL 53 1 18 19 0.358 0.2115 0.2077 1.0767 1.0573
2017-18 — USHL 49 4 22 26 0.531 0.3130 0.2918 1.5936 1.4857
■ 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
2021-22 Minnesota State D1 CCHA — 41 6 6 12 0.293
2020-21 Minnesota State D1 WCHA JR 28 2 5 7 0.250
2019-20 Minnesota State D1 WCHA SO 18 1 3 4 0.222
2018-19 Minnesota State D1 WCHA FR 36 1 5 6 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.17
2018-19 · Minnesota State
-31.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

65%
NCAA D1
2%
NCAA D2/D3
20%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

D1 Comparables

Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG

D2/3 Comparables

Bradley Somers
Adrian · 2021-22
0.871 Strong
actual D2/3 PPG
Gage Dill
Curry · 2021-22
1.000 Elite
actual D2/3 PPG
Tanner Congdon
Bryn Athyn · 2016-17
0.857 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.