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Hunter McCoy Elite Prospects ↗

Position: Forward DOB: 2000-08-01 Country: USA
No commitment set

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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
2017-18 Islanders Hockey Club NCDC 47 12 8 20 0.425 0.1735 0.1917 0.3420 0.3778
2018-19 Islanders Hockey Club NCDC 47 18 43 61 1.298 0.5292 0.5544 1.0433 1.0929
2019-20 — BCHL 55 12 12 24 0.436 0.1681 0.1681 0.6351 0.6351
2020-21 Maryland Black Bears NAHL 53 14 21 35 0.660 0.2426 0.2426 0.6971 0.6971
■ 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
2024-25 Army D1 AHA SR 30 4 7 11 0.367
2023-24 Army D1 AHA JR 25 1 4 5 0.200
2022-23 Army D1 AHA SO 14 0 1 1 0.071
2021-22 Army D1 AHA FR 18 2 1 3 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.35
before college
→
Actual FR PPG
0.17
2021-22 · Army
-52.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D2/D3
0%
Club / ACHA
50%
Other

NCAAe Rankings

#11963
Forward overall
#503
Forward born in 2000

D1 Comparables

Alex Kile
USHL · 2012-13 · 1.07 PPG
→ Michigan (0.21 D1 FR PPG)
0.64 Developing
NCAAe PPG
Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.48 Average
NCAAe PPG
Austin Cangelosi
USHL · 2012-13 · 1.14 PPG
→ Boston College (0.65 D1 FR PPG)
0.68 Strong
NCAAe PPG
Sheldon Dries
USHL · 2012-13 · 0.91 PPG
→ Western Michigan (0.18 D1 FR PPG)
0.53 Developing
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Matthew Headland
Canton · 2016-17
0.682 Strong
actual D2/3 PPG
Anthony Marra
SUNY Geneseo · 2012-13
1.161 Elite
actual D2/3 PPG
Cameron Wright
Stonehill · 2016-17
0.731 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.