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Ethan Lund Elite Prospects ↗

Position: Defense DOB: 2001-03-16 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
2017-18 Brooks Bandits AJHL 1 0 0 0 0.000 — — — —
2018-19 Brooks Bandits AJHL 53 3 25 28 0.528 0.1753 0.1859 0.4896 0.5193
2019-20 Brooks Bandits AJHL 54 3 14 17 0.315 0.1045 0.1045 0.2918 0.2918
2020-21 Brooks Bandits AJHL 20 1 10 11 0.550 0.1825 0.1825 0.5097 0.5097
2021-22 Brooks Bandits AJHL 51 9 18 27 0.529 0.1757 0.1607 0.4906 0.4488
■ 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 Niagara D1 AHA — 36 2 4 6 0.167
2024-25 Niagara D1 AHA JR 27 2 5 7 0.259
2023-24 Niagara D1 AHA SO 33 2 3 5 0.151
2022-23 Niagara D1 AHA FR 13 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
0%
NCAA D2/D3
62%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#6142
Defenseman overall
#1369
Defenseman born in 2001
#974
in AJHL

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota (0.06 D1 FR PPG)
0.05 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Henry Cleghorn
SUNY Geneseo · 2017-18
0.533 Average
actual D2/3 PPG
Timmy Nicksic
St. Norbert · 2016-17
0.581 Average
actual D2/3 PPG
Erick Ware
SUNY Potsdam · 2010-11
0.809 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.