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Ben Willcoxson Elite Prospects ↗

Position: Defense DOB: 2003-07-28 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
2022-23 Minnesota Mullets USPHL-Premier 43 3 9 12 0.279 0.0365 0.0363 0.0947 0.0942
■ 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 University of Alabama ACHA_D1 — — 13 0 3 3 0.231
2024-25 University of Alabama ACHA_D1 — — 13 0 3 3 0.231
2023-24 University of Alabama ACHA_D1 — — 13 0 3 3 0.231
2022-23 University of Alabama ACHA_D1 — — 13 0 3 3 0.231
2021-22 University of Alabama ACHA_D1 — — 13 0 3 3 0.231
2020-21 University of Alabama ACHA_D1 — — 13 0 3 3 0.231

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
2%
Club / ACHA
32%
Other

NCAAe Rankings

#18436
Defenseman overall
#3225
Defenseman born in 2003
#5084
in USPHL-Premier

D1 Comparables

Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG

D2/3 Comparables

Brody Heleno
Salem State · 2012-13
0.393 Average
actual D2/3 PPG
Samuel Beaulne
SUNY Geneseo · 2022-23
0.238 Developing
actual D2/3 PPG
Tyler Hawkins
St. Thomas · 2006-07
0.000 No data
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.