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Bryan Black Elite Prospects ↗

Position: Forward DOB: 1988-03-27 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
2004-05 — OJHL 15 0 0 0 0.000 — — — —
2005-06 Collingwood Blues OJHL 48 14 19 33 0.688 0.1921 0.2013 0.4744 0.4972
2006-07 Collingwood Blues OJHL 47 11 24 35 0.745 0.2081 0.2077 0.5139 0.5129
2007-08 Markham Waxers OJHL 44 10 21 31 0.705 0.1968 0.1875 0.4862 0.4632
2008-09 — OJHL 43 21 36 57 1.326 0.3704 0.3339 0.9148 0.8246
■ 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
2009-10 SUNY Potsdam D3 — FR 11 3 6 9 0.818
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.82
2009-10 · SUNY Potsdam
+247.1% vs. projection

NCAAe Rankings

#12145
Forward overall
#544
Forward born in 1988
#643
in OJHL

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.40 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.38 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Tim Kielich
SUNY Brockport · 2014-15
1.192 Elite
actual D2/3 PPG
Tyler Bullard
Canton · 2015-16
0.957 Strong
actual D2/3 PPG
Conor Foley
Franklin Pierce · 2018-19
0.710 Strong
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.