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Matt Weber Elite Prospects ↗

Position: Forward DOB: 2000-03-17 Country: USA
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
2017-18 Shreveport Mudbugs NAHL 4 2 1 3 0.750 0.2756 0.2975 0.7916 0.8544
2018-19 Fargo Force USHL 22 0 2 2 0.091 0.0536 0.0534 0.2730 0.2721
2019-20 Shreveport Mudbugs NAHL 51 12 11 23 0.451 0.1657 0.1657 0.4760 0.4760
2020-21 Shreveport Mudbugs NAHL 50 14 12 26 0.520 0.1910 0.1910 0.5489 0.5489
■ 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
2024-25 Aurora D3 NCHA SR 30 9 9 18 0.600
2023-24 Aurora D3 NCHA JR 23 6 6 12 0.522
2022-23 Aurora D3 NCHA SO 29 14 8 22 0.759
2021-22 Aurora D3 NCHA FR 28 9 14 23 0.821
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.82
2021-22 · Aurora
+535.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D1
2%
NCAA D2/D3
90%
Pro / Other

NCAAe Rankings

#34107
Forward overall
#1752
Forward born in 2000
#3341
in NAHL

D1 Comparables

Ryan McMurphy
USHL · 2012-13 · 0.14 PPG
→ Bentley (0.39 D1 FR PPG)
0.08 Average
NCAAe PPG
David Parrottino
USHL · 2012-13 · 0.14 PPG
→ Canisius
0.08 No data
NCAAe PPG
Ben Storm
USHL · 2012-13 · 0.23 PPG
→ St. Cloud State (0.03 D1 FR PPG)
0.14 Developing
NCAAe PPG
Jordan Boucher
USHL · 2012-13 · 0.23 PPG
→ Clarkson (0.28 D1 FR PPG)
0.13 Developing
NCAAe PPG
Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG

D2/3 Comparables

Trevor Veneklase
SUNY Cortland · 2016-17
0.400 Average
actual D2/3 PPG
Landon Steffen
Hamline · 2020-21
0.188 Developing
actual D2/3 PPG
Carter Krenke
Saint John's · 2019-20
0.704 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.