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Brendon Michaelian Elite Prospects ↗

Position: Defense DOB: 1997-12-07 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
2016-17 Amarillo Bulls NAHL 56 3 11 14 0.250 0.0919 0.0933 0.2639 0.2678
2017-18 Amarillo Bulls NAHL 59 5 29 34 0.576 0.2117 0.2044 0.6083 0.5873
■ 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 Mercyhurst D1 AHA — 18 0 7 7 0.389
2021-22 Ferris State D1 CCHA — 34 1 12 13 0.382
2020-21 Robert Morris D1 AHA JR 24 4 11 15 0.625
2019-20 Robert Morris D1 AHA SO 37 6 6 12 0.324
2018-19 Robert Morris D1 AHA FR 28 0 2 2 0.071
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.07
2018-19 · Robert Morris
-52.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
8%
NCAA D2/D3
32%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#8341
Defenseman overall
#1506
Defenseman born in 1997
#3005
in NAHL

D1 Comparables

Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG

D2/3 Comparables

Anthony Ceolin
Fitchburg State · 2018-19
0.692 Strong
actual D2/3 PPG
Aidan Canady
Post · 2023-24
0.630 Average
actual D2/3 PPG
Alex Nagel
Wisconsin-Stout · 2017-18
0.423 Average
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.