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Casey Aman Elite Prospects ↗

Position: Defense DOB: 2003-01-15 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 Powell River Kings BCHL 54 7 20 27 0.500 0.1926 0.1939 0.7277 0.7326
2022-23 Powell River Kings BCHL 54 10 25 35 0.648 0.2497 0.2391 0.9432 0.9033
■ 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 Penn State D1 BigTen JR 31 1 5 6 0.194
2024-25 Penn State D1 BigTen JR 36 1 6 7 0.194
2023-24 Penn State D1 BigTen SO 20 1 1 2 0.100
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.10
2023-24 · Penn State
-52.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
2%
NCAA D2/D3
25%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#5875
Defenseman overall
#1434
Defenseman born in 2003
#1358
in BCHL

D1 Comparables

Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG

D2/3 Comparables

Cam Bergeman
University of New England · 2022-23
0.783 Strong
actual D2/3 PPG
Trevor Boyd
Adrian · 2014-15
1.036 Elite
actual D2/3 PPG
Oliver De Croock
Lawrence · 2018-19
0.778 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.