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Matthew Herb Elite Prospects ↗

Position: Defense DOB: 2004-02-18 Country: USA
No commitment set

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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
2023-24 Smiths Falls Bears CCHL 48 1 8 9 0.188 0.0407 0.0391 0.1451 0.1395
2024-25 Smiths Falls Bears CCHL 23 0 6 6 0.261 0.0566 0.0519 0.2020 0.1851
■ 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 Nazareth D3 UCHC FR 24 0 9 9 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.04
before college
→
Actual FR PPG
0.38
2025-26 · Nazareth
+748.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
20%
NCAA D2/D3
68%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#21461
Defenseman overall
#3626
Defenseman born in 2004
#1686
in CCHL

D1 Comparables

Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG

D2/3 Comparables

Connor Thompson
Wisconsin-Eau Claire · 2023-24
0.250 Developing
actual D2/3 PPG
Tyler Fogu
Skidmore · 2024-25
0.385 Average
actual D2/3 PPG
Connor Court
UMass Dartmouth · 2014-15
0.353 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.