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Adam Scuglia Elite Prospects ↗

Position: Forward DOB: 1990-04-10 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 Aurora Tigers OJHL 4 1 0 1 0.250 0.0613 0.0646 0.1721 0.1815
2008-09 Brampton Capitals OJHL 37 3 3 6 0.162 0.0398 0.0399 0.1117 0.1121
2009-10 Brampton Capitals OJHL 53 20 38 58 1.094 0.2682 0.2550 0.7534 0.7163
2010-11 Brampton Capitals OJHL 44 23 37 60 1.364 0.3342 0.3022 0.9388 0.8489
■ 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
2013-14 SUNY Plattsburgh D3 SUNYAC JR 5 1 1 2 0.400
2012-13 SUNY Plattsburgh D3 SUNYAC SO 2 0 0 0 0.000
2011-12 SUNY Plattsburgh D3 SUNYAC FR 9 1 2 3 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.33
2011-12 · SUNY Plattsburgh
+37.4% vs. projection

NCAAe Rankings

#15970
Forward overall
#635
Forward born in 1990
#529
in OJHL

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

D2/3 Comparables

Brad Carpenter
Wentworth · 2000-01
1.000 Elite
actual D2/3 PPG
Owen Sikich
Saint Mary's (MN) · 2017-18
0.630 Average
actual D2/3 PPG
Mitchell Parsons
SUNY Brockport · 2017-18
0.577 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.