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Miles Gunty Elite Prospects ↗

Position: Forward DOB: 2004-02-21 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
2020-21 Youngstown Phantoms USHL 5 0 0 0 0.000 — — — —
2021-22 Maryland Black Bears NAHL 43 10 12 22 0.512 0.1880 0.2037 0.5400 0.5850
2022-23 Youngstown Phantoms USHL 11 1 2 3 0.273 0.1609 0.1594 0.8190 0.8113
2023-24 Youngstown Phantoms USHL 38 11 11 22 0.579 0.3415 0.3213 1.7387 1.6359
■ 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 Princeton D1 ECAC SO 12 1 0 1 0.083
2024-25 Princeton D1 ECAC — 29 3 7 10 0.345
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.34
2024-25 · Princeton
+57.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

78%
NCAA D1
5%
NCAA D2/D3
2%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#20025
Forward overall
#1066
Forward born in 2004
#1944
in USHL

D1 Comparables

Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.33 Average
NCAAe PPG
Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.33 Developing
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.36 Developing
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Jordan Reed
Curry · 2009-10
0.885 Strong
actual D2/3 PPG
Rusty Masters
Elmira · 2005-06
0.962 Strong
actual D2/3 PPG
Cannon Bonifay
Westfield State · 2024-25
0.714 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.