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Austin Oravetz Elite Prospects ↗

Position: Defense DOB: 2003-09-26 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
2020-21 Dubuque Fighting Saints USHL 6 0 0 0 0.000 — — — —
2021-22 Dubuque Fighting Saints USHL 62 2 19 21 0.339 0.2082 0.2128 0.9979 1.0201
2022-23 Green Bay Gamblers USHL 61 5 16 21 0.344 0.2116 0.2053 1.0144 0.9843
■ 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 Merrimack D1 HockeyEast JR 39 1 11 12 0.308
2024-25 Michigan D1 BigTen — 13 0 3 3 0.231
2023-24 Michigan D1 BigTen — 33 0 5 5 0.151
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.15
2023-24 · Michigan
-22.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

72%
NCAA D1
2%
NCAA D2/D3
20%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#6048
Defenseman overall
#1502
Defenseman born in 2003
#2595
in USHL

D1 Comparables

Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Mike McKee
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.05 D1 FR PPG)
0.30 Developing D
NCAAe PPG
Ryan Murray
WHL · 2012-13 · 0.74 PPG
→ Hamline (0.28 D1 FR PPG)
0.35 Average D
NCAAe PPG

D2/3 Comparables

Justin Ryan
SUNY Oswego · 2022-23
0.591 Average
actual D2/3 PPG
Mitch Stephens
SUNY Geneseo · 2001-02
1.077 Elite
actual D2/3 PPG
Michael Soik
Milwaukee School of Engineering · 2005-06
1.346 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.