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Barry Roytman Elite Prospects ↗

Position: Defense DOB: 1989-10-13 Country: USA
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 Kanata Stallions CCHL 47 1 6 7 0.149 0.0475 0.0492 0.1153 0.1195
2008-09 Kanata Stallions CCHL 60 2 21 23 0.383 0.1224 0.1197 0.2967 0.2901
2009-10 Kanata Stallions CCHL 60 3 30 33 0.550 0.1756 0.1636 0.4258 0.3968
■ 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 — SR 24 5 9 14 0.583
2012-13 SUNY Plattsburgh D3 — JR 26 1 7 8 0.308
2011-12 SUNY Plattsburgh D3 — SO 28 3 9 12 0.429
2010-11 SUNY Plattsburgh D3 — FR 24 1 5 6 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.25
2010-11 · SUNY Plattsburgh
+81.3% vs. projection

NCAAe Rankings

#12902
Defenseman overall
#1340
Defenseman born in 1989
#1328
in CCHL

D1 Comparables

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

D2/3 Comparables

Alex Kromm
Wisconsin-Stevens Point · 2011-12
0.500 Average
actual D2/3 PPG
James Albrecht
Wesleyan · 2010-11
0.583 Average
actual D2/3 PPG
Sean Roadhouse
Wisconsin-River Falls · 2007-08
0.480 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.