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Will Dawson Elite Prospects ↗

Position: Forward DOB: 2003-10-03 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
2021-22 Notre Dame Hounds SJHL 57 14 15 29 0.509 0.1550 0.1638 0.3771 0.3985
2022-23 Notre Dame Hounds SJHL 52 24 23 47 0.904 0.2753 0.2772 0.6698 0.6744
2023-24 Minot Minotauros NAHL 57 13 22 35 0.614 0.2433 0.2353 0.6446 0.6234
■ 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 Air Force D1 AHA SO 37 11 14 25 0.676
2024-25 Air Force D1 AHA — 34 2 8 10 0.294
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.29
2024-25 · Air Force
+36.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
28%
NCAA D2/D3
45%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#23319
Forward overall
#1266
Forward born in 2003

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG

D2/3 Comparables

Pat Egan
SUNY Plattsburgh · 2014-15
1.080 Elite
actual D2/3 PPG
Andrew Logar
Buffalo State · 2017-18
0.320 Developing
actual D2/3 PPG
Clayton Boyd
Neumann · 2016-17
0.462 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.