IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Matt Viola Elite Prospects ↗

Position: Forward DOB: 1988-10-07 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
2005-06 — OJHL 49 5 6 11 0.225 0.0674 0.0724 0.1537 0.1652
2006-07 Milton Menace OJHL 27 4 5 9 0.333 0.1001 0.1026 0.2281 0.2337
2007-08 — OJHL 46 11 17 28 0.609 0.1829 0.1791 0.4167 0.4081
2008-09 — OJHL 36 8 17 25 0.694 0.2086 0.1936 0.4753 0.4411
■ 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
2012-13 SUNY Potsdam D3 — SR 22 5 15 20 0.909
2011-12 SUNY Potsdam D3 — JR 26 3 14 17 0.654
2010-11 SUNY Potsdam D3 — SO 23 3 3 6 0.261
2009-10 SUNY Potsdam D3 — FR 12 1 1 2 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.17
2009-10 · SUNY Potsdam
+3.7% vs. projection

NCAAe Rankings

#42139
Forward overall
#1396
Forward born in 1988

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG

D2/3 Comparables

Gabriel Filion
SUNY Plattsburgh · 2024-25
0.577 Average
actual D2/3 PPG
Dan Cecka
Wisconsin-Stout · 2009-10
0.556 Average
actual D2/3 PPG
Zach Blake
SUNY Plattsburgh · 2010-11
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.