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Sean Kilcullen Elite Prospects ↗

Position: Defense DOB: 2002-08-03 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 Maryland Black Bears NAHL 3 0 0 0 0.000
2020-21 Maryland Black Bears NAHL 39 1 12 13 0.333 0.1321 0.1321 0.3499 0.3499
2021-22 Maryland Black Bears NAHL 58 1 20 21 0.362 0.1435 0.1443 0.3802 0.3824
2022-23 Maryland Black Bears NAHL 55 8 35 43 0.782 0.3097 0.2962 0.8208 0.7851
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 UMass Lowell D1 HockeyEast JR 34 3 6 9 0.265
2024-25 UMass Lowell D1 HockeyEast 8 0 0 0 0.000
2023-24 UMass Lowell D1 HockeyEast 27 0 2 2 0.074
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
Actual FR PPG
0.07
2023-24 · UMass Lowell
-66.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
5%
NCAA D2/D3
40%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#5745
Defenseman overall
#1448
Defenseman born in 2002
#2102
in NAHL

D1 Comparables

USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.25 Elite 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 · 0.79 PPG
→ North Dakota (0.51 D1 FR PPG)
0.44 Elite D
NCAAe PPG
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.23 No data
NCAAe PPG
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.18 No data
NCAAe PPG

D2/3 Comparables

Bethel · 2014-15
0.640 Average
actual D2/3 PPG
Canton · 2018-19
0.682 Strong
actual D2/3 PPG
Bethel · 2018-19
0.680 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.