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Adam Ostrowski Elite Prospects ↗

Position: Defense DOB: 1997-05-01 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
2014-15 Johnstown Tomahawks NAHL 2 1 0 1 0.500 0.1837 0.1990 0.5284 0.5725
2015-16 Johnstown Tomahawks NAHL 45 0 3 3 0.067 0.0245 0.0255 0.0705 0.0733
2016-17 Soo Eagles NOJHL 34 7 16 23 0.676 0.1152 0.1121 0.2867 0.2789
■ 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
2019-20 Milwaukee School of Engineering D1 NCHA JR 25 0 6 6 0.240
2019-20 Milwaukee School of Engineering D3 NCHA JR 25 0 6 6 0.240
2018-19 Milwaukee School of Engineering D1 NCHA SO 25 3 5 8 0.320
2018-19 Milwaukee School of Engineering D3 NCHA SO 25 3 5 8 0.320
2017-18 Milwaukee School of Engineering D3 NCHA FR 15 1 3 4 0.267
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.27
2017-18 · Milwaukee School of Engineering
+264.8% vs. projection

NCAAe Rankings

#16304
Defenseman overall
#2297
Defenseman born in 1997
#5193
in NAHL

D1 Comparables

Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG

D2/3 Comparables

Gustav Müller
Albertus Magnus · 2018-19
0.500 Average
actual D2/3 PPG
Trent Dillinger
Norwich · 2014-15
0.250 Developing
actual D2/3 PPG
Ethan Homitz
SUNY Cortland · 2016-17
0.278 Developing
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.