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Matthew Perkins Elite Prospects ↗

Position: Forward DOB: 2004-01-21 Country: Canada
2023 NHL Draft Round 4, Pick #119  ·  Vancouver Canucks Vancouver Canucks
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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
2021-22 — SJHL 57 23 36 59 1.035 0.3153 0.3379 0.7671 0.8222
2022-23 — USHL 60 15 29 44 0.733 0.4508 0.4446 2.1604 2.1308
■ 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 Northeastern D1 HockeyEast JR 29 4 3 7 0.241
2024-25 Minnesota Duluth D1 NCHC — 29 1 4 5 0.172
2023-24 Minnesota D1 BigTen — 35 6 9 15 0.429
2023-24 Minnesota Duluth D1 NCHC — 35 6 9 15 0.429
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.43
2023-24 · Minnesota
+24.6% 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

#9036
Forward overall
#362
Forward born in 2004

D1 Comparables

Ryan Papa
USHL · 2012-13 · 0.72 PPG
→ St. Cloud State (0.59 D1 FR PPG)
0.43 Strong
NCAAe PPG
Adam Gilmour
USHL · 2012-13 · 0.73 PPG
→ Boston College (0.50 D1 FR PPG)
0.44 Average
NCAAe PPG
Kevin Duane
USHL · 2012-13 · 0.67 PPG
→ Boston University (0.31 D1 FR PPG)
0.40 Developing
NCAAe PPG
Kyle Schempp
USHL · 2012-13 · 0.64 PPG
→ Ferris State (0.58 D1 FR PPG)
0.39 Strong
NCAAe PPG
Joe Cox
USHL · 2012-13 · 0.65 PPG
→ Michigan (0.33 D1 FR PPG)
0.39 Developing
NCAAe PPG

D2/3 Comparables

Ryan Ellis
SUNY Oswego · 2003-04
1.704 Elite
actual D2/3 PPG
Nolan Redler
UMass Boston · 2015-16
1.125 Elite
actual D2/3 PPG
Brett Gravelle
St. Thomas · 2015-16
0.923 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.