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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 0.2221 0.2221 0.6593 0.6593
2020-21 Minnesota Magicians NAHL 44 18 16 34 0.773 0.2745 0.2745 0.8150 0.8150
2021-22 Minnesota Magicians NAHL 59 26 36 62 1.051 0.3733 0.3691 1.1084 1.0960
2022-23 Minot Minotauros NAHL 58 22 49 71 1.224 0.4349 0.4087 1.2912 1.2134
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
0.34
before college
Actual FR PPG
0.38
2023-24 · American International
+11.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
2%
NCAA D2/D3
28%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#8201
Forward overall
#383
Forward born in 2002
#130
in NAHL

D1 Comparables

OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Salve Regina · 2016-17
1.207 Elite
actual D2/3 PPG
UMass Boston · 2017-18
0.720 Strong
actual D2/3 PPG
Fredonia · 2008-09
0.842 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.