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Cam VanSickle Elite Prospects ↗

Position: Forward DOB: 2004-02-24 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
2020-21 Green Bay Gamblers USHL 6 0 0 0 0.000 — — — —
2021-22 — USHL 40 4 7 11 0.275 0.1622 0.1692 0.8102 0.8450
2022-23 Alberni Valley Bulldogs BCHL 51 18 13 31 0.608 0.2342 0.2373 0.8856 0.8973
2023-24 Omaha Lancers USHL 49 5 3 8 0.163 0.0963 0.0906 0.4811 0.4529
2024-25 Fairbanks Ice Dogs NAHL 45 12 14 26 0.578 0.2052 0.1917 0.6066 0.5668
■ 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 Hamline D3 MIAC — 9 1 2 3 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.33
2025-26 · Hamline
+157.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
20%
NCAA D2/D3
40%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#31612
Forward overall
#1881
Forward born in 2004

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Ivan Galaguzov
Lawrence · 2018-19
0.444 Average
actual D2/3 PPG
Carson Kelley
SUNY Geneseo · 2016-17
0.643 Average
actual D2/3 PPG
Devon Rice
SUNY Geneseo · 2011-12
0.471 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.