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Matthew Mania Elite Prospects ↗

Position: Defense DOB: 2005-01-11 Country: USA
2023 · Round 5, Pick #150  ·  Los Angeles Kings Los Angeles Kings
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 Sudbury Wolves OHL 49 2 11 13 0.265 0.1535 0.1652 0.6947 0.7476
2022-23 Sudbury Wolves OHL 67 10 28 38 0.567 0.3281 0.3389 1.4852 1.5341
2023-24 Sudbury Wolves OHL 45 4 19 23 0.511 0.2957 0.2913 1.3383 1.3182
2024-25 Flint Firebirds OHL 66 7 38 45 0.682 0.3944 0.3681 1.7852 1.6663
■ 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
2026-27 RIT D1 AHA SO 0 0 0 0 0.000
2025-26 Michigan D1 BigTen FR 15 1 0 1 0.067
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.32
before college
→
Actual FR PPG
0.07
2025-26 · Michigan
-79.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
0%
NCAA D2/D3
15%
Age-Out / Club
60%
Pro / Other

NCAAe Rankings

#2440
Defenseman overall
#580
Defenseman born in 2005
#599
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
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG

D2/3 Comparables

Connor Armour
Adrian · 2013-14
1.357 Elite
actual D2/3 PPG
Michael Leone
Utica · 2007-08
1.462 Elite
actual D2/3 PPG
Brad Olson
Manhattanville · 2000-01
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.