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Brendan Gillmore Elite Prospects ↗

Position: Defense DOB: 2005-05-10 Country: Canada
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — 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
2023-24 Blackfalds Bulldogs AJHL 34 2 3 5 0.147 0.0493 0.0506 0.1363 0.1398
2024-25 — NAHL 29 5 13 18 0.621 0.2205 0.2193 0.6517 0.6482
■ 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 SUNY Oswego D3 SUNYAC FR 23 1 5 6 0.261
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.26
2025-26 · SUNY Oswego
+82.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
10%
NCAA D2/D3
20%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#10376
Defenseman overall
#2219
Defenseman born in 2005

D1 Comparables

Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.20 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG

D2/3 Comparables

Sam Blanton
Bowdoin · 2023-24
0.600 Average
actual D2/3 PPG
Colby Audette
Becker · 2017-18
0.650 Strong
actual D2/3 PPG
Brian Doust
Fredonia · 2009-10
0.684 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.