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Culin Wilson Elite Prospects ↗

Position: Forward DOB: 2003-03-12 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
2018-19 Dexter NE-Prep 30 9 12 21 0.700 0.1387 0.1387 0.3189 0.3189
2019-20 Dexter NE-Prep 30 8 22 30 1.000 0.1981 0.1981 0.4556 0.4556
2021-22 Dexter NE-Prep 25 7 10 17 0.680 0.1347 0.1347 0.3098 0.3098
2022-23 Corpus Christi IceRays NAHL 5 0 0 0 0.000 — — — —
2023-24 South Shore Kings NCDC 39 13 26 39 1.000 0.4077 0.3807 0.8038 0.7506
■ 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 SO 18 1 2 3 0.167
2024-25 Trinity D3 NESCAC — 6 0 2 2 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.33
2024-25 · Trinity
+38.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#7545
Forward overall
#289
Forward born in 2003

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Matthew Monreal
Southern New Hampshire · 2018-19
0.450 Average
actual D2/3 PPG
Dominic Thomas
Hamline · 2024-25
0.421 Average
actual D2/3 PPG
Ben Kemp
SUNY Plattsburgh · 2001-02
0.536 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.