IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Nicholas Hussa Elite Prospects ↗

Position: Forward DOB: 2003-07-14 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 Philadelphia Little Flyers EHL 43 9 8 17 0.395 0.0913 0.0933 0.1934 0.1976
2023-24 Philadelphia Little Flyers EHL 44 6 13 19 0.432 0.0997 0.0968 0.2113 0.2052
■ 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 Anna Maria D3 MASCAC SO 3 0 0 0 0.000
2024-25 Anna Maria D3 MASCAC — 13 1 0 1 0.077
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.08
2024-25 · Anna Maria
-5.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#37650
Forward overall
#2335
Forward born in 2003
#1425
in EHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Michael Baird
Utica · 2010-11
0.375 Average
actual D2/3 PPG
Carson Cox
Canton · 2021-22
0.200 Developing
actual D2/3 PPG
Michael DeBello
Colby · 2011-12
0.200 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.