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Matthew Campbell Elite Prospects ↗

Position: Defense DOB: 2003-03-04 Country: Canada
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
2019-20 Coquitlam Express BCHL 4 0 0 0 0.000 — — — —
2020-21 Coquitlam Express BCHL 17 1 7 8 0.471 0.1753 0.1753 0.6857 0.6857
2021-22 Coquitlam Express BCHL 52 11 28 39 0.750 0.2794 0.2831 1.0928 1.1073
■ 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 Merrimack D1 HockeyEast SR 23 0 1 1 0.043
2024-25 Michigan Tech D1 CCHA — 34 6 6 12 0.353
2023-24 Michigan Tech D1 CCHA — 30 4 7 11 0.367
2022-23 Quinnipiac D1 ECAC — 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D1
0%
NCAA D2/D3
20%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#4865
Defenseman overall
#1236
Defenseman born in 2003
#1321
in BCHL

D1 Comparables

Clay Anderson
USHL · 2012-13 · 0.38 PPG
→ Harvard (0.21 D1 FR PPG)
0.23 Average D
NCAAe PPG
Jeff Taylor
USHL · 2012-13 · 0.47 PPG
→ Union (0.39 D1 FR PPG)
0.29 Strong D
NCAAe PPG
Nolan Gluchowski
USHL · 2012-13 · 0.40 PPG
→ St. Lawrence (0.55 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Justin Woods
USHL · 2012-13 · 0.32 PPG
→ Alaska Fairbanks (0.18 D1 FR PPG)
0.19 Average D
NCAAe PPG
Matias Cleland
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.10 D1 FR PPG)
0.37 Developing D
NCAAe PPG

D2/3 Comparables

Max Resnick
Tufts · 2021-22
0.720 Strong
actual D2/3 PPG
Jack Campion
Saint Mary's (MN) · 2019-20
0.480 Average
actual D2/3 PPG
Nathan Cook
Babson · 2001-02
1.115 Elite
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.