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Hunter Hady Elite Prospects ↗

Position: Defense DOB: 2004-08-02 Country: USA
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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
2021-22 Chicago Steel USHL 23 0 1 1 0.043 0.0267 0.0284 0.1282 0.1365
2022-23 Chicago Steel USHL 59 1 15 16 0.271 0.1667 0.1688 0.7990 0.8093
2023-24 Chicago Steel USHL 53 1 6 7 0.132 0.0812 0.0782 0.3892 0.3749
■ 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 Michigan D1 BigTen SO 2 0 1 1 0.500
2024-25 Michigan D1 BigTen — 32 0 1 1 0.031
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.03
2024-25 · Michigan
-71.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
20%
NCAA D2/D3
18%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#17694
Defenseman overall
#3246
Defenseman born in 2004
#3901
in USHL

D1 Comparables

Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.17 Developing D
NCAAe PPG
James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.13 Average D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Blake Arneson
Saint Mary's (MN) · 2021-22
0.250 Developing
actual D2/3 PPG
Trent DeNuccio
SUNY Geneseo · 2018-19
0.500 Average
actual D2/3 PPG
Terry Leabo
Wisconsin-River Falls · 2012-13
0.704 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.