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Dylan Marty Elite Prospects ↗

Position: Forward DOB: 2000-01-10 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
2017-18 Hudson Havoc USPHL-Premier 34 22 14 36 1.059 0.1194 0.1273 0.3602 0.3841
2018-19 Hudson Havoc USPHL-Premier 41 18 27 45 1.098 0.1238 0.1255 0.3734 0.3784
2019-20 Hudson Havoc USPHL-Premier 44 25 20 45 1.023 0.1154 0.1154 0.3479 0.3479
2020-21 Hudson Havoc USPHL-Premier 26 12 14 26 1.000 0.1128 0.1128 0.3402 0.3402
■ 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
2024-25 Lawrence D3 NCHA — 18 0 2 2 0.111
2023-24 Lawrence D3 NCHA — 9 0 0 0 0.000
2022-23 Framingham State D3 MASCAC — 25 7 15 22 0.880
2021-22 Framingham State D3 MASCAC — 25 6 8 14 0.560
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.56
2021-22 · Framingham State
+418.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
0%
Club / ACHA
55%
Other

NCAAe Rankings

#12389
Forward overall
#512
Forward born in 2000
#671
in USPHL-Premier

D1 Comparables

Tim Lappin
USHL · 2012-13 · 0.24 PPG
→ Brown (0.50 D1 FR PPG)
0.14 Average
NCAAe PPG
Seth Adams
USHL · 2012-13 · 0.26 PPG
→ Ferris State (0.14 D1 FR PPG)
0.15 Developing
NCAAe PPG
Canon Pieper
USHL · 2012-13 · 0.28 PPG
→ Quinnipiac (0.08 D1 FR PPG)
0.16 Developing
NCAAe PPG
Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.13 No data
NCAAe PPG
Jeff Kubiak
USHL · 2012-13 · 0.33 PPG
→ Cornell (0.30 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Ryan Arendes
Stevenson · 2022-23
0.231 Developing
actual D2/3 PPG
Jake Roeper
Lawrence · 2012-13
1.500 Elite
actual D2/3 PPG
Michael Wiggins
Wisconsin-Superior · 2015-16
0.692 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.