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Matt Carlson Elite Prospects ↗

Position: Forward DOB: 2001-01-20 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
2020-21 New Hampshire Avalanche EHL 37 12 14 26 0.703 0.1623 0.1623 0.3438 0.3438
2021-22 New Hampshire Avalanche EHL 46 25 37 62 1.348 0.3113 0.2957 0.6595 0.6264
■ 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 Wilkes D3 MAC SR 26 10 18 28 1.077
2024-25 Wilkes D3 MAC JR 13 8 4 12 0.923
2023-24 Wilkes D3 MAC SO 27 10 3 13 0.481
2022-23 Wilkes D3 MAC FR 25 11 10 21 0.840
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.84
2022-23 · Wilkes
+231.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#10424
Forward overall
#462
Forward born in 2001
#105
in EHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG

D2/3 Comparables

Tommy Nolan
SUNY Cortland · 2013-14
0.625 Average
actual D2/3 PPG
Ben Beaudoin
Wisconsin-River Falls · 2007-08
0.630 Average
actual D2/3 PPG
Nicholas Stevens
Wisconsin-Stout · 2023-24
0.826 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.