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Owen Dyer Elite Prospects ↗

Position: Defense DOB: 2004-05-07 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 Oklahoma Warriors NAHL 54 2 9 11 0.204 0.0807 0.0883 0.2139 0.2339
2022-23 Oklahoma Warriors NAHL 55 2 15 17 0.309 0.1225 0.1280 0.7366 0.7373
2023-24 Des Moines Buccaneers USHL 50 3 5 8 0.160 0.0984 0.0936 0.4714 0.4484
2024-25 Des Moines Buccaneers USHL 61 2 4 6 0.098 0.0605 0.0545 0.2899 0.2610
■ 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 Brown D1 ECAC FR 29 0 5 5 0.172
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.17
2025-26 · Brown
+160.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
5%
NCAA D2/D3
70%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#19218
Defenseman overall
#3414
Defenseman born in 2004

D1 Comparables

Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG

D2/3 Comparables

Lubos Taragel
Hamline · 2000-01
1.143 Elite
actual D2/3 PPG
Ted Vickers
Amherst · 2005-06
0.500 Average
actual D2/3 PPG
Campbell Balk
Endicott · 2018-19
0.250 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.