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Matthew Morden Elite Prospects ↗

Position: Defense DOB: 2004-07-29 Country: Canada
2022 NHL Draft Round 5, Pick #131  ·  Utah Mammoth Utah Mammoth (via ARI)
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
2019-20 — OJHL 1 0 1 1 1.000 0.3004 0.3004 0.6845 0.6845
2021-22 — USHL 2 0 0 0 0.000 — — — —
2022-23 — USHL 57 3 18 21 0.368 0.2265 0.2293 1.0854 1.0987
■ 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 Harvard D1 ECAC JR 34 4 16 20 0.588
2024-25 Harvard D1 ECAC — 31 1 5 6 0.194
2023-24 Harvard D1 ECAC — 32 1 2 3 0.094
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.09
2023-24 · Harvard
-56.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

85%
NCAA D1
0%
NCAA D2/D3
10%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#5277
Defenseman overall
#1351
Defenseman born in 2004

D1 Comparables

Cutler Martin
USHL · 2012-13 · 0.27 PPG
→ Michigan (0.47 D1 FR PPG)
0.17 Strong D
NCAAe PPG
Chris Leibinger
USHL · 2012-13 · 0.33 PPG
→ Michigan Tech (0.13 D1 FR PPG)
0.20 Developing D
NCAAe PPG
Doyle Somerby
USHL · 2012-13 · 0.20 PPG
→ Boston University (0.12 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Michael Kapla
USHL · 2012-13 · 0.49 PPG
→ UMass Lowell (0.41 D1 FR PPG)
0.31 Strong D
NCAAe PPG
Jake Bischoff
USHL · 2012-13 · 0.17 PPG
→ Minnesota (0.25 D1 FR PPG)
0.10 Average D
NCAAe PPG

D2/3 Comparables

Anthony Marra
SUNY Geneseo · 2012-13
1.161 Elite
actual D2/3 PPG
Matthew Headland
Canton · 2016-17
0.682 Strong
actual D2/3 PPG
Cameron Wright
Stonehill · 2016-17
0.731 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.