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Alexander Cagan Elite Prospects ↗

Position: Defense DOB: 2004-07-17 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
2022-23 Texas Jr. Brahmas NA3HL 47 7 15 22 0.468 0.0587 0.0611 0.1478 0.1539
2023-24 Texas Jr. Brahmas NA3HL 40 6 17 23 0.575 0.0722 0.0717 0.1815 0.1803
■ 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 University of Oklahoma ACHA_D1 — — 30 1 10 11 0.367
2024-25 University of Oklahoma ACHA_D1 — — 30 1 10 11 0.367
2023-24 University of Oklahoma ACHA_D1 — — 30 1 10 11 0.367
2022-23 University of Oklahoma ACHA_D1 — — 30 1 10 11 0.367
2021-22 University of Oklahoma ACHA_D1 — — 30 1 10 11 0.367
2020-21 University of Oklahoma ACHA_D1 — — 30 1 10 11 0.367

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D2/D3
0%
Club / ACHA
25%
Other

NCAAe Rankings

#13934
Defenseman overall
#2777
Defenseman born in 2004
#2287
in NA3HL

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG

D2/3 Comparables

Ryan Bunka
SUNY Oswego · 2016-17
0.000 No data
actual D2/3 PPG
Alex DiBacco
Saint Mary's (MN) · 2015-16
0.261 Developing
actual D2/3 PPG
Jonathan Carlson
Aurora · 2014-15
0.208 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.