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Owen West Elite Prospects ↗

Position: Defense DOB: 2004-06-01 Country: USA
No commitment set

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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
2020-21 — USHL 3 0 0 0 0.000 — — — —
2021-22 Philadelphia Rebels NAHL 54 6 18 24 0.444 0.1633 0.1792 0.4691 0.5147
2022-23 Des Moines Buccaneers USHL 56 6 11 17 0.304 0.1791 0.1799 0.9118 0.9158
2023-24 Des Moines Buccaneers USHL 58 7 12 19 0.328 0.1933 0.1845 0.9839 0.9393
■ 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 Michigan State D1 BigTen SO 33 4 9 13 0.394
2024-25 Michigan D1 BigTen — 34 0 3 3 0.088
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.09
2024-25 · Michigan
-48.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

75%
NCAA D1
8%
NCAA D2/D3
5%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#7361
Defenseman overall
#1757
Defenseman born in 2004
#2785
in USHL

D1 Comparables

Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG
James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Chris Berry
Wisconsin-Superior · 2004-05
1.111 Elite
actual D2/3 PPG
Travis Quigley
Southern New Hampshire · 2016-17
0.333 Developing
actual D2/3 PPG
Ryan Dunner
Fredonia · 2015-16
0.545 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.