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Brendan McMorrow Elite Prospects ↗

Position: Forward DOB: 2006-03-27 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 Benilde-St. Margaret's USHS-MN 28 9 23 32 1.143 0.3077 0.3077 0.2776 0.2776
2022-23 — NTDP-U18 60 14 17 31 0.517 0.4110 0.4194 1.9351 1.9745
2023-24 — NTDP-U18 61 8 14 22 0.361 0.2869 0.2780 1.3509 1.3091
2024-25 — USHL 58 24 18 42 0.724 0.4611 0.4586 2.1699 2.1581
■ 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 Denver D1 NCHC — 27 3 8 11 0.407
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.41
2025-26 · Denver
+23.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

90%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#5545
Forward overall
#228
Forward born in 2006

D1 Comparables

Daniel Milne
OHL · 2012-13 · 0.70 PPG
→ Michigan
0.42 No data
NCAAe PPG
Jake Randolph
USHL · 2012-13 · 0.69 PPG
→ Nebraska Omaha (0.67 D1 FR PPG)
0.43 Strong
NCAAe PPG
Ray Pigozzi
USHL · 2012-13 · 0.64 PPG
→ UMass (0.55 D1 FR PPG)
0.41 Average
NCAAe PPG
Cam Darcy
USHL · 2012-13 · 0.69 PPG
→ Northeastern (0.22 D1 FR PPG)
0.43 Developing
NCAAe PPG
Drew Smolcynski
USHL · 2012-13 · 0.69 PPG
→ St. Lawrence (0.44 D1 FR PPG)
0.44 Average
NCAAe PPG

D2/3 Comparables

Nolan Redler
UMass Boston · 2015-16
1.125 Elite
actual D2/3 PPG
Sam Anderson
Albertus Magnus · 2017-18
0.720 Strong
actual D2/3 PPG
Brandon Osmundson
Utica · 2017-18
1.448 Elite
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.