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Marc Lund Elite Prospects ↗

Position: Forward DOB: 2003-04-29 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 Holy Family USHS-MN 26 9 3 12 0.462 0.1242 0.1242 0.1121 0.1121
2020-21 Holy Family USHS-MN 18 7 7 14 0.778 0.2094 0.2094 0.1889 0.1889
2021-22 — NAHL 32 7 7 14 0.438 0.1733 0.1807 0.4593 0.4788
2022-23 Fairbanks Ice Dogs NAHL 21 7 4 11 0.524 0.2075 0.2061 0.5499 0.5463
2023-24 Fairbanks Ice Dogs NAHL 38 10 9 19 0.500 0.1981 0.1873 0.5250 0.4964
■ 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 Northeastern D1 HockeyEast SO 4 0 0 0 0.000
2024-25 Northeastern D1 HockeyEast — 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
8%
NCAA D2/D3
78%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#28869
Forward overall
#1658
Forward born in 2003

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG

D2/3 Comparables

Brendon Gysbers
St. Norbert · 2017-18
0.871 Strong
actual D2/3 PPG
Hudson Cameron
Fredonia · 2024-25
0.500 Average
actual D2/3 PPG
Ryan Doner
Wisconsin-River Falls · 2012-13
0.704 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.