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Will Diamond Elite Prospects ↗

Position: Forward DOB: 2003-12-22 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 Aberdeen Wings NAHL 37 0 6 6 0.162 0.0576 0.0619 0.1703 0.1831
2022-23 Omaha Lancers USHL 43 0 7 7 0.163 0.0960 0.0943 0.4796 0.4711
2023-24 Austin Bruins NAHL 46 6 8 14 0.304 0.1081 0.1057 0.9820 0.9158
■ 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 Trinity D3 NESCAC — 19 3 1 4 0.210
2024-25 Northern Michigan D1 CCHA — 22 1 0 1 0.045
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.05
2024-25 · Northern Michigan
-47.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
30%
NCAA D2/D3
35%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#46303
Forward overall
#3036
Forward born in 2003

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
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
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG

D2/3 Comparables

Justin Siebold
Elmira · 2000-01
0.824 Strong
actual D2/3 PPG
Trevor Boyd
Adrian · 2014-15
1.036 Elite
actual D2/3 PPG
Nick Fea
Wilkes · 2016-17
1.208 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.