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Brandon O'Quinn Elite Prospects ↗

Position: Forward DOB: 1993-11-11 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
2010-11 Trenton Golden Hawks OJHL 47 8 6 14 0.298 0.0895 0.0970 0.2039 0.2210
2011-12 — OJHL 40 4 9 13 0.325 0.0976 0.1015 0.2225 0.2313
2012-13 Collingwood Blues OJHL 46 6 18 24 0.522 0.1567 0.1551 0.3571 0.3534
2013-14 Collingwood Blues OJHL 42 24 21 45 1.071 0.3218 0.3020 0.7334 0.6884
■ 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
2016-17 SUNY Plattsburgh D3 — JR 5 2 1 3 0.600
2015-16 SUNY Plattsburgh D3 — SO 22 6 9 15 0.682
2014-15 SUNY Plattsburgh D3 — FR 26 7 6 13 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.50
2014-15 · SUNY Plattsburgh
+140.2% vs. projection

NCAAe Rankings

#25456
Forward overall
#869
Forward born in 1993
#1494
in OJHL

D1 Comparables

Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.39 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.43 Developing
NCAAe PPG

D2/3 Comparables

Payton Kender
Rivier · 2024-25
0.840 Strong
actual D2/3 PPG
Nick Zilka
Hamline · 2006-07
0.760 Strong
actual D2/3 PPG
Maxwell Reavis
UMass Boston · 2011-12
1.000 Elite
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.