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Brendan McMorrow Elite Prospects ↗

Position: Forward DOB: 2006-03-27 Country: USA
2025 · Round 7, Pick #196  ·  Los Angeles Kings Los Angeles Kings
⚠️ Aging Out 2026-27: Turns 20 before Dec 31, 2026 — final eligible junior season.
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 0.1447 0.1447 0.2776 0.2776
2022-23 — NTDP-U18 60 14 17 31 0.517 0.3841 0.3919 1.9280 1.9673
2023-24 — NTDP-U18 61 8 14 22 0.361 0.2681 0.2598 1.3459 1.3043
2024-25 Waterloo Black Hawks USHL 58 24 18 42 0.724 0.4271 0.4248 2.1748 2.1630
■ 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 FR 27 3 8 11 0.407
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.31
before college
→
Actual FR PPG
0.41
2025-26 · Denver
+32.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

95%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#10209
Forward overall
#349
Forward born in 2006

D1 Comparables

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

D2/3 Comparables

Ryan Stevens
Plymouth State · 2012-13
1.444 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2022-23
1.120 Elite
actual D2/3 PPG
Nolan Redler
UMass Boston · 2015-16
1.125 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.