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Noah Wilson Elite Prospects ↗

Position: Defense DOB: 1998-12-21 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
2016-17 Minnesota Magicians NAHL 15 1 2 3 0.200 0.0735 0.0784 0.2111 0.2252
2017-18 Fairbanks Ice Dogs NAHL 58 5 12 17 0.293 0.1077 0.1096 0.3094 0.3148
2018-19 Fairbanks Ice Dogs NAHL 57 6 29 35 0.614 0.2256 0.2194 0.6481 0.6304
■ 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
2022-23 Army D1 AHA — 37 3 9 12 0.324
2021-22 Army D1 AHA — 30 1 5 6 0.200
2020-21 Army D1 AHA — 22 1 5 6 0.273
2019-20 Army D1 AHA — 25 0 1 1 0.040
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.04
2019-20 · Army
-75.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
10%
NCAA D2/D3
25%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#9136
Defenseman overall
#1681
Defenseman born in 1998
#3281
in NAHL

D1 Comparables

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
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Matt Hughes
Finlandia · 2007-08
1.286 Elite
actual D2/3 PPG
Michael Parks
Finlandia · 2003-04
1.208 Elite
actual D2/3 PPG
Jason Ladzinski
Franklin Pierce · 2018-19
0.387 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.