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

Hunter Longhi Elite Prospects ↗

Position: Forward DOB: 2002-04-02 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
2019-20 — NAHL 48 12 18 30 0.625 0.2296 0.2296 0.6597 0.6597
2020-21 Minnesota Magicians NAHL 44 18 16 34 0.773 0.2839 0.2839 0.8156 0.8156
2021-22 Minnesota Magicians NAHL 59 26 36 62 1.051 0.3861 0.3818 1.1091 1.0967
2022-23 Minot Minotauros NAHL 58 22 49 71 1.224 0.4497 0.4226 1.2920 1.2141
■ 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 Utica D3 UCHC JR 19 3 5 8 0.421
2024-25 American International D1 AHA — 13 2 2 4 0.308
2023-24 American International D1 AHA — 8 1 2 3 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.35
before college
→
Actual FR PPG
0.38
2023-24 · American International
+7.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
2%
NCAA D2/D3
32%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#7994
Forward overall
#370
Forward born in 2002
#129
in NAHL

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

D2/3 Comparables

Ty Broad
Trinity · 2023-24
0.870 Strong
actual D2/3 PPG
Daniel Eruzione
Salve Regina · 2016-17
1.207 Elite
actual D2/3 PPG
Jason Zaleski
Buffalo State · 2013-14
1.000 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.