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Gabriel Lunn Elite Prospects ↗

Position: Defense DOB: 2003-08-25 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 Utica Jr. Comets NCDC 49 6 20 26 0.531 0.2959 0.3122 0.4290 0.4527
2022-23 Johnstown Tomahawks NAHL 58 2 25 27 0.466 0.1844 0.1862 0.4887 0.4934
■ 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 JR 35 1 7 8 0.229
2024-25 Robert Morris D1 AHA JR 29 0 7 7 0.241
2023-24 Robert Morris D1 AHA SO 29 1 5 6 0.207
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.21
2023-24 · Robert Morris
-7.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
5%
NCAA D2/D3
30%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#5109
Defenseman overall
#1296
Defenseman born in 2003

D1 Comparables

Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Mike McKee
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.05 D1 FR PPG)
0.30 Developing D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG

D2/3 Comparables

Ron Lindgren
Aurora · 2012-13
0.750 Strong
actual D2/3 PPG
Jordan Neduzak
Wisconsin-Superior · 2011-12
0.429 Average
actual D2/3 PPG
Jeffrey Gauld
Canton · 2016-17
0.818 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.