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Brendan McBride Elite Prospects ↗

Position: Defense DOB: 2001-03-19 Country: Canada
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
2018-19 Olds Grizzlys AJHL 4 0 0 0 0.000 — — — —
2019-20 Olds Grizzlys AJHL 47 7 8 15 0.319 0.1070 0.1070 0.2953 0.2953
2020-21 Olds Grizzlys AJHL 13 1 5 6 0.462 0.1548 0.1548 0.4271 0.4271
2021-22 Olds Grizzlys AJHL 49 2 14 16 0.327 0.1095 0.1002 0.3021 0.2765
■ 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
2022-23 Alvernia D3 MAC — 25 2 8 10 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.40
2022-23 · Alvernia
+322.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
5%
NCAA D2/D3
52%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#14017
Defenseman overall
#2391
Defenseman born in 2001
#1651
in AJHL

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Grant Gallo
Nazareth · 2017-18
0.000 No data
actual D2/3 PPG
Kane Durment
St. Thomas · 2015-16
0.000 No data
actual D2/3 PPG
Austin Miller
UMass Dartmouth · 2018-19
0.963 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.