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Rylan Brady Elite Prospects ↗

Position: Forward DOB: 2004-02-10 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
2021-22 Oklahoma Warriors NAHL 43 4 2 6 0.140 0.0513 0.0555 0.1472 0.1592
2022-23 Oklahoma Warriors NAHL 60 23 21 44 0.733 0.2694 0.2782 0.7740 0.7993
2023-24 Omaha Lancers USHL 45 2 4 6 0.133 0.0786 0.0738 0.4004 0.3761
2024-25 Janesville Jets NAHL 52 9 25 34 0.654 0.2402 0.2240 0.6901 0.6434
■ 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 Trine D3 NCHA FR 3 1 0 1 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.33
2025-26 · Trine
+137.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
25%
NCAA D2/D3
22%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#26465
Forward overall
#1506
Forward born in 2004
#2193
in NAHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Kerfalla Touré
Elmira · 2021-22
0.696 Strong
actual D2/3 PPG
Logan Ganz
Wisconsin-Eau Claire · 2024-25
0.840 Strong
actual D2/3 PPG
Billy Foulds
Manhattanville · 2001-02
0.640 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.