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Matthew Romer Elite Prospects ↗

Position: Forward DOB: 2002-09-01 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
2019-20 Janesville Jets NAHL 1 0 0 0 0.000 — — — —
2020-21 Janesville Jets NAHL 41 6 19 25 0.610 0.2240 0.2240 1.8657 1.8657
2021-22 Omaha Lancers USHL 58 5 15 20 0.345 0.2034 0.1971 1.0356 1.0034
2022-23 Omaha Lancers USHL 27 3 8 11 0.407 0.2403 0.2203 1.2236 1.1219
■ 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 Stonehill D1 AHA JR 35 15 7 22 0.629
2024-25 Northern Michigan D1 CCHA — 23 5 3 8 0.348
2023-24 Arizona State D1 NCHC — 7 0 1 1 0.143
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.14
2023-24 · Arizona State
-20.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
30%
NCAA D2/D3
22%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#23079
Forward overall
#1271
Forward born in 2002

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.36 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG

D2/3 Comparables

Dylan Bengtson
University of New England · 2014-15
1.037 Elite
actual D2/3 PPG
Dustin Norman
Wisconsin-River Falls · 2004-05
0.850 Strong
actual D2/3 PPG
Jack Paul
Bethel · 2008-09
0.960 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.