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Matthew Mayich Elite Prospects ↗

Position: Defense DOB: 2004-12-21 Country: Canada
2023 NHL Draft Round 6, Pick #170  ·  St. Louis Blues St. Louis Blues
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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 — OHL 60 3 8 11 0.183 0.1064 0.1142 0.4697 0.5041
2022-23 — OHL 64 5 17 22 0.344 0.1995 0.2055 0.8810 0.9074
2023-24 Ottawa 67's OHL 66 6 18 24 0.364 0.2110 0.2072 0.9317 0.9151
2024-25 Ottawa 67's OHL 66 7 35 42 0.636 0.3693 0.3436 1.6308 1.5175
■ 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 Clarkson D1 ECAC FR 34 7 8 15 0.441
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.44
2025-26 · Clarkson
+61.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
0%
NCAA D2/D3
35%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#3514
Defenseman overall
#886
Defenseman born in 2004
#1123
in OHL

D1 Comparables

Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.27 Developing D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.33 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.30 Elite D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.27 Average D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.23 No data
NCAAe PPG

D2/3 Comparables

Paul Rodrigues
SUNY Oswego · 2008-09
0.893 Strong
actual D2/3 PPG
Tyler Miller
St. Scholastica · 2008-09
0.852 Strong
actual D2/3 PPG
Gage Dill
Curry · 2021-22
1.000 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.