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Will Staring Elite Prospects ↗

Position: Defense DOB: 2003-02-28 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 Green Bay Gamblers USHL 3 0 0 0 0.000 — — — —
2021-22 Green Bay Gamblers USHL 60 5 10 15 0.250 0.1537 0.1527 0.7366 0.7318
2022-23 — USHL 50 2 16 18 0.360 0.2213 0.2084 1.0606 0.9986
■ 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 SR 37 6 13 19 0.513
2024-25 Air Force D1 AHA JR 39 1 8 9 0.231
2023-24 Air Force D1 AHA SO 33 1 8 9 0.273
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.27
2023-24 · Air Force
+55.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

60%
NCAA D1
5%
NCAA D2/D3
20%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#7058
Defenseman overall
#1679
Defenseman born in 2003
#2791
in USHL

D1 Comparables

Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.17 Elite D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.27 Average D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.21 Average D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.14 Average D
NCAAe PPG

D2/3 Comparables

Jared Docking
SUNY Plattsburgh · 2007-08
0.739 Strong
actual D2/3 PPG
Jonathan Schultz
St. Norbert · 2000-01
1.125 Elite
actual D2/3 PPG
Brent Wold
Utica · 2012-13
1.000 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.