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Dylan Reynolds Elite Prospects ↗

Position: Forward DOB: 2004-10-01 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 Islanders Hockey Club USPHL-Premier 36 8 16 24 0.667 0.0872 0.0919 0.2263 0.2384
2023-24 Islanders Hockey Club USPHL-Premier 42 18 18 36 0.857 0.1121 0.1127 0.2909 0.2924
2024-25 Islanders Hockey Club USPHL-Premier 31 28 26 54 1.742 0.2278 0.2157 0.5912 0.5597
■ 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 Saint Anselm D2 NE10 — 14 1 2 3 0.214
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.21
2025-26 · Saint Anselm
+43.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D2/D3
5%
Club / ACHA
2%
Other

NCAAe Rankings

#9466
Forward overall
#375
Forward born in 2004
#405
in USPHL-Premier

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.36 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Cole Skelly
New England College · 2016-17
0.500 Average
actual D2/3 PPG
Jon Groth
Wesleyan · 2023-24
0.000 No data
actual D2/3 PPG
Kent Bostrom
Bethel · 2004-05
1.222 Elite
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.