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Michael Karow Elite Prospects ↗

Position: Defense DOB: 1998-12-18 Country: USA
2017 · Round 5, Pick #126  ·  Utah Mammoth Utah Mammoth (via ARI)
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 Youngstown Phantoms USHL 58 4 17 21 0.362 0.2136 0.2212 1.0875 1.1261
■ 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
2021-22 Michigan Tech D1 CCHA — 37 2 8 10 0.270
2020-21 Boston College D1 HockeyEast — 24 1 2 3 0.125
2019-20 Boston College D1 HockeyEast — 34 0 4 4 0.118
2018-19 Boston College D1 HockeyEast — 39 0 2 2 0.051
2017-18 Boston College D1 HockeyEast — 34 0 6 6 0.176
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.18
2017-18 · Boston College
-15.5% vs. projection

NCAAe Rankings

#5685
Defenseman overall
#1225
Defenseman born in 1998
#2423
in USHL

D1 Comparables

Gustav Olofsson
USHL · 2012-13 · 0.37 PPG
→ Colorado College (0.27 D1 FR PPG)
0.22 Average D
NCAAe PPG
Clint Lewis
USHL · 2012-13 · 0.30 PPG
→ Cornell (0.06 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Garrett Cecere
USHL · 2012-13 · 0.28 PPG
→ Colorado College (0.09 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Ruslan Pedan
USHL · 2012-13 · 0.33 PPG
→ Bemidji State (0.34 D1 FR PPG)
0.20 Strong D
NCAAe PPG
Will Butcher
USHL · 2012-13 · 0.50 PPG
→ Denver (0.42 D1 FR PPG)
0.30 Strong D
NCAAe PPG

D2/3 Comparables

Brent Wold
Utica · 2010-11
1.000 Elite
actual D2/3 PPG
Ryan Kero
Saint John's · 2014-15
0.480 Average
actual D2/3 PPG
Cameron Wright
Stonehill · 2016-17
0.731 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.