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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 0.1670 0.1843 — —
2022-23 Des Moines Buccaneers USHL 52 14 9 23 0.442 0.2609 0.2638 1.3272 1.3419
2023-24 Des Moines Buccaneers USHL 52 4 6 10 0.192 0.1134 0.1090 0.5770 0.5547
■ 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
2026-27 Robert Morris D1 AHA JR 0 0 0 0 0.000
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
-8.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
15%
NCAA D2/D3
22%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#31733
Forward overall
#1887
Forward born in 2004
#3153
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)
0.19 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG

D2/3 Comparables

Patrick Moore
Wisconsin-Eau Claire · 2011-12
0.625 Average
actual D2/3 PPG
Whim Stålberg
Plymouth State · 2018-19
0.600 Average
actual D2/3 PPG
Brendan Prappas
Trine · 2017-18
0.929 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.