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Ethan Henry Elite Prospects ↗

Position: Forward DOB: 2002-03-07 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
2021-22 Charlotte Rush USPHL-Premier 23 2 3 5 0.217 0.0245 0.0239 0.0740 0.0721
2022-23 — CCHL 35 1 3 4 0.114 0.0248 0.0227 0.0885 0.0812
■ 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 Morrisville D3 SUNYAC — 25 1 2 3 0.120
2025-26 SUNY Morrisville D3 SUNYAC GR 25 1 2 3 0.120
2024-25 Morrisville D3 SUNYAC — 24 3 3 6 0.250
2024-25 SUNY Morrisville D3 SUNYAC SR 24 3 3 6 0.250
2023-24 Morrisville D3 SUNYAC — 15 3 1 4 0.267
2023-24 SUNY Morrisville D3 SUNYAC JR 15 3 1 4 0.267
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.02
before college
→
Actual FR PPG
0.27
2023-24 · Morrisville
+1247.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
15%
NCAA D2/D3
70%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#57219
Forward overall
#3793
Forward born in 2002

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG

D2/3 Comparables

Sean Henry
Trine · 2021-22
0.320 Developing
actual D2/3 PPG
Danny Reidel
Wilkes · 2017-18
0.133 Developing
actual D2/3 PPG
Alex Murphy
Wisconsin-River Falls · 2011-12
0.136 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.