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Braden Rourke Elite Prospects ↗

Position: Forward DOB: 2004-07-20 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
2020-21 Des Moines Buccaneers USHL 1 0 0 0 0.000 — — — —
2021-22 Corpus Christi IceRays NAHL 55 8 17 25 0.455 0.1801 0.1988 — —
2022-23 Des Moines Buccaneers USHL 52 14 9 23 0.442 0.2719 0.2749 1.3031 1.3176
2023-24 Des Moines Buccaneers USHL 52 4 6 10 0.192 0.1182 0.1136 0.5666 0.5447
■ 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 Robert Morris D1 AHA SO 35 3 7 10 0.286
2024-25 Robert Morris D1 AHA — 30 2 2 4 0.133
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.13
2024-25 · Robert Morris
-12.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
15%
NCAA D2/D3
28%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#31178
Forward overall
#1854
Forward born in 2004
#2948
in USHL

D1 Comparables

Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG
Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.12 Average
NCAAe PPG

D2/3 Comparables

Chad Watt
Stevenson · 2016-17
0.217 Developing
actual D2/3 PPG
Brock King
Milwaukee School of Engineering · 2006-07
0.792 Strong
actual D2/3 PPG
Mathew Rehding
Adrian · 2018-19
0.609 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.