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Ross Roloson Elite Prospects ↗

Position: Defense DOB: 2003-01-30 Country: Canada
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 Spruce Grove Saints AJHL 5 0 0 0 0.000 — — — —
2020-21 Minot Minotauros NAHL 36 0 4 4 0.111 0.0408 0.0408 0.1174 0.1174
2021-22 Green Bay Gamblers USHL 54 0 4 4 0.074 0.0437 0.0432 0.2224 0.2201
2022-23 Surrey Eagles BCHL 51 3 23 26 0.510 0.1964 0.1885 0.7415 0.7117
■ 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
2026-27 Niagara D1 AHA SR 0 0 0 0 0.000
2025-26 Niagara D1 AHA — 37 2 7 9 0.243
2024-25 Niagara D1 AHA — 37 3 11 14 0.378
2023-24 Lake Superior State D1 CCHA — 37 4 10 14 0.378
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.38
2023-24 · Lake Superior State
+207.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
5%
NCAA D2/D3
12%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

#15671
Defenseman overall
#2906
Defenseman born in 2003

D1 Comparables

Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
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
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG

D2/3 Comparables

Louis Ouellet
Westfield State · 2023-24
0.591 Average
actual D2/3 PPG
Steve Evans
Westfield State · 2009-10
0.950 Strong
actual D2/3 PPG
Rece Bergeman
Fitchburg State · 2018-19
0.667 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.