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Matteo Mann Elite Prospects ↗

Position: Defense DOB: 2004-12-31 Country: Canada
2023 NHL Draft Round 7, Pick #199  ·  Philadelphia Flyers Philadelphia Flyers
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
2020-21 Chicoutimi Saguenéens QMJHL 20 1 0 1 0.050 0.0249 0.0249 0.1333 0.1333
2021-22 Chicoutimi Saguenéens QMJHL 63 2 9 11 0.175 0.0868 0.0941 0.4657 0.5051
2022-23 Chicoutimi Saguenéens QMJHL 45 0 5 5 0.111 0.0552 0.0572 0.2963 0.3069
2023-24 Saint John Sea Dogs QMJHL 42 6 7 13 0.309 0.1539 0.1518 0.8254 0.8142
2024-25 Saint John Sea Dogs QMJHL 56 6 8 14 0.250 0.1243 0.1165 0.6667 0.6249
■ 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 Colorado College D1 NCHC FR 28 0 2 2 0.071
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.07
2025-26 · Colorado College
-42.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
15%
NCAA D2/D3
62%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#14384
Defenseman overall
#2833
Defenseman born in 2004
#2069
in QMJHL

D1 Comparables

Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG
Joseph Fiala
USHL · 2012-13 · 0.22 PPG
→ Quinnipiac (0.05 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Carlos Fornaris
New England College · 2014-15
1.115 Elite
actual D2/3 PPG
Jason Fransky
Elmira · 2005-06
0.000 No data
actual D2/3 PPG
Clayton Boyd
Neumann · 2016-17
0.462 Average
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.