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Matt Cato Elite Prospects ↗

Position: Forward DOB: 2003-09-15 Country: Canada
Signed Professionally
St. Francis Xavier Univ. · USports-M

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
2019-20 Haliburton County Huskies OJHL 8 1 0 1 0.125 0.0306 0.0306 0.0861 0.0861
2020-21 Blind River Beavers NOJHL 13 7 4 11 0.846 0.1413 0.1413 0.3523 0.3523
2021-22 Trenton Golden Hawks OJHL 54 22 23 45 0.833 0.2042 0.2116 0.5737 0.5945
2022-23 Trenton Golden Hawks OJHL 47 36 34 70 1.489 0.3651 0.3597 1.0255 1.0102
2025-26 St. Francis Xavier Univ. USports-M 27 9 5 14 0.518 0.2736 0.2847 1.5197 1.5811
■ 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 Vermont D1 HockeyEast — 2 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D1
0%
NCAA D2/D3
92%
Pro / Other

NCAAe Rankings

#13730
Forward overall
#656
Forward born in 2003

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
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Ryan Bloom
University of New England · 2016-17
1.654 Elite
actual D2/3 PPG
Tanner Dalton
Milwaukee School of Engineering · 2017-18
0.000 No data
actual D2/3 PPG
Hunter Scanlon
UMass Dartmouth · 2023-24
0.611 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.