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Matthew Van Blaricom Elite Prospects ↗

Position: Forward DOB: 2006-08-26 Country: Canada
⚠️ Aging Out 2026-27: Turns 20 before Dec 31, 2026 — final eligible junior season.
No commitment set

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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
2022-23 Humboldt Broncos SJHL 33 13 12 25 0.758 0.1941 0.2235 0.5711 0.6577
2023-24 Humboldt Broncos SJHL 47 27 41 68 1.447 0.3707 0.4093 1.0906 1.2041
2024-25 Muskegon Lumberjacks USHL 60 9 10 19 0.317 0.1868 0.1897 0.9512 0.9658
■ 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 Michigan Tech D1 CCHA FR 28 2 8 10 0.357
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.36
2025-26 · Michigan Tech
+50.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
25%
NCAA D2/D3
12%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#17901
Forward overall
#752
Forward born in 2006

D1 Comparables

Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan State (0.25 D1 FR PPG)
0.27 Developing
NCAAe PPG
Zach Aston-Reese
USHL · 2012-13 · 0.50 PPG
→ Northeastern (0.54 D1 FR PPG)
0.30 Average
NCAAe PPG
Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.31 Strong
NCAAe PPG
Nate Arentz
USHL · 2012-13 · 0.41 PPG
→ Bemidji State (0.35 D1 FR PPG)
0.24 Developing
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG

D2/3 Comparables

Joel Covelli
Colby · 2002-03
1.042 Elite
actual D2/3 PPG
Ty Enns
Marian · 2016-17
0.923 Strong
actual D2/3 PPG
Mark Mazzetti
Elmira · 2002-03
0.565 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.