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Sean Henry Elite Prospects ↗

Position: Defense DOB: 2001-03-05 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
2018-19 Maryland Black Bears NAHL 32 0 3 3 0.094 0.0345 0.0374 0.0990 0.1072
2019-20 NAHL 39 3 7 10 0.256 0.0942 0.0942 0.2706 0.2706
2020-21 New Mexico Ice Wolves NAHL 15 1 0 1 0.067 0.0245 0.0245 0.0704 0.0704
2021-22 Kenai River Brown Bears NAHL 60 7 8 15 0.250 0.0919 0.0859 0.2639 0.2468
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 Trine D3 NCHA SR 28 2 7 9 0.321
2024-25 Trine D3 NCHA JR 30 9 10 19 0.633
2023-24 Trine D3 NCHA SO 27 5 12 17 0.630
2022-23 Trine D3 NCHA FR 25 2 6 8 0.320
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
Actual FR PPG
0.32
2022-23 · Trine
+409.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
8%
NCAA D2/D3
55%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#20842
Defenseman overall
#3097
Defenseman born in 2001
#5950
in NAHL

D1 Comparables

USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Hobart · 2021-22
0.500 Average
actual D2/3 PPG
Albertus Magnus · 2018-19
0.000 No data
actual D2/3 PPG
Lawrence · 2007-08
0.571 Average
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.