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Chris Romaine Elite Prospects ↗

Position: Defense DOB: 2004-02-21 Country: USA
2022 · Round 7, Pick #193  ·  Colorado Avalanche Colorado Avalanche
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
2019-20 Milton Academy NE-Prep 29 0 5 5 0.172 0.0342 0.0342 0.0785 0.0785
2021-22 Milton Academy NE-Prep 19 8 14 22 1.158 0.2294 0.2294 0.5275 0.5275
2022-23 — USHL 48 0 10 10 0.208 0.1229 0.1217 0.6256 0.6197
2023-24 Green Bay Gamblers USHL 55 6 24 30 0.545 0.3218 0.3028 1.6384 1.5416
■ 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 Ohio State D1 BigTen SO 18 0 0 0 0.000
2024-25 Ohio State D1 BigTen — 9 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

78%
NCAA D1
8%
NCAA D2/D3
8%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#3977
Defenseman overall
#1006
Defenseman born in 2004

D1 Comparables

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
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG

D2/3 Comparables

Jonny Mulera
Salve Regina · 2018-19
1.409 Elite
actual D2/3 PPG
Shawn Skelly
Adrian · 2006-07
1.655 Elite
actual D2/3 PPG
Tyler Miller
St. Scholastica · 2008-09
0.852 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.