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Hudson Gorski Elite Prospects ↗

Position: Defense DOB: 2005-09-05 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
2022-23 Salisbury School NE-Prep 28 5 4 9 0.321 0.0637 0.0637 0.1464 0.1464
2023-24 Chicago Steel USHL 58 2 5 7 0.121 0.0712 0.0725 0.3625 0.3690
2024-25 Chicago Steel USHL 59 3 16 19 0.322 0.1899 0.1836 0.9671 0.9350
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 Cornell D1 ECAC FR 9 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

72%
NCAA D1
5%
NCAA D2/D3
12%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#12502
Defenseman overall
#2517
Defenseman born in 2005

D1 Comparables

USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.05 D1 FR PPG)
0.28 Developing D
NCAAe PPG
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG

D2/3 Comparables

SUNY Geneseo · 2000-01
1.042 Elite
actual D2/3 PPG
St. Michael's College · 2002-03
1.280 Elite
actual D2/3 PPG
Buffalo State · 2001-02
1.240 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.