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Matthew Mayich Elite Prospects ↗

Position: Defense DOB: 2004-12-21 Country: Canada
2023 · Round 6, Pick #170  ·  St. Louis Blues St. Louis Blues
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
2021-22 — OHL 60 3 8 11 0.183 0.1060 0.1138 0.4710 0.5055
2022-23 — OHL 64 5 17 22 0.344 0.1989 0.2049 0.8834 0.9099
2023-24 Ottawa 67's OHL 66 6 18 24 0.364 0.2103 0.2065 0.9343 0.9176
2024-25 Ottawa 67's OHL 66 7 35 42 0.636 0.3682 0.3426 1.6352 1.5216
■ 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
+62.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
0%
NCAA D2/D3
20%
Age-Out / Club
50%
Pro / Other

NCAAe Rankings

#3680
Defenseman overall
#900
Defenseman born in 2004
#758
in OHL

D1 Comparables

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

D2/3 Comparables

Tyler Miller
St. Scholastica · 2008-09
0.852 Strong
actual D2/3 PPG
Shawn Skelly
Adrian · 2006-07
1.655 Elite
actual D2/3 PPG
Paul Rodrigues
SUNY Oswego · 2008-09
0.893 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.