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Matthew Gough Elite Prospects ↗

Position: Forward DOB: 2002-05-31 Country: Canada
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
2021-22 WB/Scranton Knights USPHL-Premier 15 11 16 27 1.800 0.2030 0.2001 0.6124 0.6037
2022-23 Dauphin Kings MJHL 55 27 29 56 1.018 0.1960 0.1831 0.6417 0.5993
■ 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 Stevenson D3 MAC — 26 3 11 14 0.538
2024-25 Stevenson D3 MAC — 9 0 0 0 0.000
2023-24 Adrian D3 NCHA — 3 0 1 1 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.33
2023-24 · Adrian
+105.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
15%
NCAA D2/D3
55%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#8480
Forward overall
#399
Forward born in 2002

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Brett Way
Augsburg · 2004-05
0.520 Average
actual D2/3 PPG
Stefano Alonzi
SUNY Cortland · 2015-16
0.680 Strong
actual D2/3 PPG
Noah Carpenter
Colby · 2024-25
0.500 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.