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Brady McIsaac Elite Prospects ↗

Position: Forward DOB: 2004-12-16 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
2020-21 Alberni Valley Bulldogs BCHL 17 1 1 2 0.118 0.0438 0.0438 0.1714 0.1714
2021-22 Alberni Valley Bulldogs BCHL 1 0 1 1 1.000 0.3725 0.4108 1.4571 1.6068
2022-23 Alberni Valley Bulldogs BCHL 34 2 4 6 0.176 0.0657 0.0692 0.2572 0.2710
2023-24 Alberni Valley Bulldogs BCHL 52 9 12 21 0.404 0.1504 0.1516 0.5884 0.5930
2024-25 Alberni Valley Bulldogs BCHL 52 15 27 42 0.808 0.3009 0.2881 1.1769 1.1270
■ 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 Lindenwood D1 CCHA FR 21 2 3 5 0.238
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.24
2025-26 · Lindenwood
+19.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
8%
NCAA D2/D3
50%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#28253
Forward overall
#1650
Forward born in 2004
#1735
in BCHL

D1 Comparables

Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Tommy Malkmus
Finlandia · 2013-14
0.409 Average
actual D2/3 PPG
Gavin Bloder
Fredonia · 2022-23
0.750 Strong
actual D2/3 PPG
Ross Olsson
Endicott · 2014-15
1.364 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.