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Matt Galati Elite Prospects ↗

Position: Forward DOB: 1992-05-20 Country: Canada
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
2009-10 Toronto Patriots OJHL 42 13 10 23 0.548 0.1342 0.1418 0.3769 0.3981
2010-11 — OJHL 50 19 32 51 1.020 0.2500 0.2524 0.7021 0.7089
2011-12 — OJHL 49 12 26 38 0.775 0.1901 0.1836 0.5338 0.5154
2012-13 — OJHL 54 30 21 51 0.944 0.2315 0.2120 0.6500 0.5952
■ 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
2016-17 SUNY Oswego D3 SUNYAC SR 27 13 17 30 1.111
2015-16 SUNY Oswego D3 SUNYAC JR 25 8 14 22 0.880
2014-15 SUNY Oswego D3 SUNYAC SO 28 12 17 29 1.036
2013-14 SUNY Oswego D3 SUNYAC FR 29 24 12 36 1.241
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
1.24
2013-14 · SUNY Oswego
+623.0% vs. projection

NCAAe Rankings

#19158
Forward overall
#717
Forward born in 1992
#729
in OJHL

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)
0.32 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 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.