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Justin DeVincentis Elite Prospects ↗

Position: Defense DOB: 1992-11-11 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
2007-08 King Rebellion OJHL 5 0 0 0 0.000 — — — —
2008-09 King Rebellion OJHL 47 2 15 17 0.362 0.0887 0.1005 0.2490 0.2821
2009-10 Toronto Patriots OJHL 10 0 4 4 0.400 0.0980 0.1059 0.2754 0.2975
2010-11 Toronto Dixie Beehives OJHL 27 3 9 12 0.444 0.1089 0.1126 0.3060 0.3163
2011-12 King Rebellion OJHL 42 7 25 32 0.762 0.1867 0.1847 0.5246 0.5191
2012-13 King Rebellion OJHL 47 4 29 33 0.702 0.1721 0.1617 0.4834 0.4543
■ 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
2014-15 Westfield State D3 MASCAC — 24 1 4 5 0.208
2013-14 Westfield State D3 MASCAC — 24 2 7 9 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.38
2013-14 · Westfield State
+132.5% vs. projection

NCAAe Rankings

#6943
Defenseman overall
#1064
Defenseman born in 1992
#1436
in OJHL

D1 Comparables

Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG

D2/3 Comparables

Todd Jackson
Norwich · 2015-16
0.379 Average
actual D2/3 PPG
Mario Tropea
Neumann · 2017-18
0.583 Average
actual D2/3 PPG
Noah Lafleur
Johnson & Wales · 2023-24
0.333 Developing
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.