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Dylan Godbout Elite Prospects ↗

Position: Forward DOB: 2004-05-05 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 Hill-Murray USHS-MN 20 9 15 24 1.200 0.1519 0.1519 0.2915 0.2915
2021-22 Hill-Murray USHS-MN 31 30 27 57 1.839 0.2328 0.2328 — —
2022-23 Sioux City Musketeers USHL 62 14 33 47 0.758 0.4472 0.4475 2.2769 2.2784
2023-24 Sioux City Musketeers USHL 23 5 14 19 0.826 0.4873 0.4634 2.4811 2.3595
■ 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 St. Thomas D1 CCHA SO 29 4 11 15 0.517
2024-25 Ohio State D1 BigTen — 14 0 1 1 0.071
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.39
before college
→
Actual FR PPG
0.07
2024-25 · Ohio State
-81.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

90%
NCAA D1
2%
NCAA D2/D3
2%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#5988
Forward overall
#175
Forward born in 2004

D1 Comparables

Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.48 Average
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.41 Developing
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Jason Yuel
Curry · 2006-07
1.769 Elite
actual D2/3 PPG
Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
actual D2/3 PPG
Nick Ford
Elmira · 2014-15
0.800 Strong
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.