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Rylan Brown Elite Prospects ↗

Position: Defense DOB: 2005-01-23 Country: Canada
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
2021-22 Drayton Valley Thunder AJHL 58 12 23 35 0.603 0.2024 0.2242 0.5584 0.6185
2022-23 — AJHL 54 3 26 29 0.537 0.1801 0.1906 0.4969 0.5258
2023-24 Okotoks Oilers AJHL 41 6 40 46 1.122 0.3763 0.3804 1.0383 1.0497
■ 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 Michigan Tech D1 CCHA SO 9 0 1 1 0.111
2024-25 Michigan Tech D1 CCHA — 36 3 15 18 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.50
2024-25 · Michigan Tech
+74.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
2%
NCAA D2/D3
12%
Age-Out / Club
50%
Pro / Other

NCAAe Rankings

#3494
Defenseman overall
#903
Defenseman born in 2005

D1 Comparables

Matias Cleland
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.10 D1 FR PPG)
0.36 Developing D
NCAAe PPG
Ryan Lowney
USHL · 2012-13 · 0.65 PPG
→ Ferris State (0.35 D1 FR PPG)
0.37 Strong D
NCAAe PPG
Nelson Armstrong
OHL · 2012-13 · 0.52 PPG
→ St. Lawrence (0.19 D1 FR PPG)
0.29 Average D
NCAAe PPG
Dakota Mermis
OHL · 2012-13 · 0.41 PPG
→ Denver (0.21 D1 FR PPG)
0.23 Average D
NCAAe PPG
Jeff Taylor
USHL · 2012-13 · 0.47 PPG
→ Union (0.39 D1 FR PPG)
0.28 Strong D
NCAAe PPG

D2/3 Comparables

Max Barron
Suffolk · 2008-09
1.000 Elite
actual D2/3 PPG
Jonny Mulera
Salve Regina · 2017-18
1.409 Elite
actual D2/3 PPG
Mike Mikulan
Aurora · 2010-11
0.824 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.