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Dylan Bly Elite Prospects ↗

Position: Defense DOB: 2005-06-05 Country: Canada
No commitment set

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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 Newmarket Hurricanes OJHL 45 0 7 7 0.156 0.0381 0.0408 0.1071 0.1147
2023-24 Newmarket Hurricanes OJHL 39 4 9 13 0.333 0.0817 0.0833 0.2295 0.2339
2024-25 Newmarket Hurricanes OJHL 55 2 27 29 0.527 0.1292 0.1250 0.3630 0.3513
■ 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 Middlebury D3 NESCAC FR 9 0 1 1 0.111
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.11
2025-26 · Middlebury
+8.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
10%
NCAA D2/D3
15%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#15017
Defenseman overall
#2864
Defenseman born in 2005
#3002
in OJHL

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG

D2/3 Comparables

Christian DiFelice
SUNY Plattsburgh · 2016-17
0.360 Average
actual D2/3 PPG
Tyler Lepore
SUNY Morrisville · 2013-14
0.391 Average
actual D2/3 PPG
Shane Tracy
Curry · 2013-14
0.353 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.