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Cameron Lund Elite Prospects ↗

Position: Forward DOB: 2004-06-07 Country: USA
2022 NHL Draft Round 2, Pick #34  ·  San Jose Sharks San Jose Sharks
Signed Professionally

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
2020-21 — NCDC 40 17 17 34 0.850 0.4740 0.4740 1.4731 1.4731
2021-22 — USHL 62 25 25 50 0.806 0.4958 0.5241 2.3761 2.5119
■ 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
2024-25 Northeastern D1 HockeyEast — 37 18 22 40 1.081
2023-24 Northeastern D1 HockeyEast — 35 11 19 30 0.857
2022-23 Northeastern D1 HockeyEast — 35 7 16 23 0.657
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.49
before college
→
Actual FR PPG
0.66
2022-23 · Northeastern
+34.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

95%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

D1 Comparables

Matthew Weis
USHL · 2012-13 · 0.71 PPG
→ Ohio State (0.67 D1 FR PPG)
0.46 Strong
NCAAe PPG
Gabe Guertler
USHL · 2012-13 · 0.85 PPG
→ Minnesota (0.21 D1 FR PPG)
0.55 Developing
NCAAe PPG
Sean Malone
NTDP-U18 · 2012-13 · 0.66 PPG
→ Harvard (0.65 D1 FR PPG)
0.50 Strong
NCAAe PPG
Hudson Fasching
NTDP-U18 · 2012-13 · 0.53 PPG
→ Minnesota (0.75 D1 FR PPG)
0.41 Strong
NCAAe PPG
Tyler Motte
NTDP-U18 · 2012-13 · 0.67 PPG
→ Michigan (0.53 D1 FR PPG)
0.50 Average
NCAAe PPG

D2/3 Comparables

Nick Ford
Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Ryan Reifler
Elmira · 2017-18
1.067 Elite
actual D2/3 PPG
Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
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.