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Dylan Gratton Elite Prospects ↗

Position: Defense DOB: 2003-02-25 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
2019-20 Muskegon Lumberjacks USHL 46 1 8 9 0.196 0.1154 0.1154 0.5878 0.5878
2020-21 Youngstown Phantoms USHL 47 4 13 17 0.362 0.2134 0.2134 1.0863 1.0863
2021-22 Sioux City Musketeers USHL 60 3 15 18 0.300 0.1770 0.1758 0.9010 0.8948
■ 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 Vermont D1 HockeyEast SR 22 0 1 1 0.045
2024-25 Nebraska Omaha D1 NCHC — 36 2 12 14 0.389
2023-24 Penn State D1 BigTen — 36 3 10 13 0.361
2022-23 Penn State D1 BigTen — 33 2 9 11 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.33
2022-23 · Penn State
+100.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

75%
NCAA D1
2%
NCAA D2/D3
12%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#8033
Defenseman overall
#1846
Defenseman born in 2003
#2911
in USHL

D1 Comparables

Garret Cockerill
USHL · 2012-13 · 0.26 PPG
→ Northeastern (0.41 D1 FR PPG)
0.15 Strong D
NCAAe PPG
Justin Woods
USHL · 2012-13 · 0.32 PPG
→ Alaska Fairbanks (0.18 D1 FR PPG)
0.18 Average D
NCAAe PPG
Johnny Wingels
USHL · 2012-13 · 0.29 PPG
→ Miami
0.17 No data
NCAAe PPG
Clay Anderson
USHL · 2012-13 · 0.38 PPG
→ Harvard (0.21 D1 FR PPG)
0.22 Average D
NCAAe PPG
Eric Sweetman
USHL · 2012-13 · 0.29 PPG
→ St. Lawrence (0.39 D1 FR PPG)
0.17 Strong D
NCAAe PPG

D2/3 Comparables

Darren McCormick
SUNY Cortland · 2011-12
1.320 Elite
actual D2/3 PPG
Justin Massa
Nichols · 2023-24
0.481 Average
actual D2/3 PPG
Nate Miller
Hamilton · 2023-24
0.400 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.