IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Dominic Elliott Elite Prospects ↗

Position: Defense DOB: 2004-01-26 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 Cedar Rapids RoughRiders USHL 48 1 12 13 0.271 0.1597 0.1659 0.8133 0.8450
2022-23 Cedar Rapids RoughRiders USHL 50 3 6 9 0.180 0.1062 0.1048 0.5406 0.5336
2023-24 Oklahoma Warriors NAHL 50 4 21 25 0.500 0.1837 0.1805 0.7509 0.7038
■ 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 Robert Morris D1 AHA SO 40 6 13 19 0.475
2024-25 Robert Morris D1 AHA — 35 6 13 19 0.543
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.54
2024-25 · Robert Morris
+282.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
8%
NCAA D2/D3
10%
Age-Out / Club
48%
Pro / Other

NCAAe Rankings

#9453
Defenseman overall
#2083
Defenseman born in 2004
#3134
in USHL

D1 Comparables

Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Joseph Fiala
USHL · 2012-13 · 0.22 PPG
→ Quinnipiac (0.05 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Brandon Parker
USHL · 2012-13 · 0.20 PPG
→ Alabama-Huntsville (0.38 D1 FR PPG)
0.11 Strong D
NCAAe PPG

D2/3 Comparables

Carter Newpower
Saint Mary's (MN) · 2021-22
0.364 Average
actual D2/3 PPG
P.A. Martineau
Hobart · 2016-17
0.357 Average
actual D2/3 PPG
Connor Beatty
Endicott · 2018-19
1.333 Elite
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.