IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Brandon Couto Elite Prospects ↗

Position: Forward DOB: 1989-03-15 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
2006-07 Bowmanville Eagles OJHL 48 20 19 39 0.812 0.2270 0.2375 0.5607 0.5866
2007-08 Bowmanville Eagles OJHL 48 13 21 34 0.708 0.1979 0.1981 0.4888 0.4893
2008-09 Lindsay Muskies OJHL 40 6 18 24 0.600 0.1676 0.1592 0.4141 0.3933
2009-10 — OJHL 49 28 33 61 1.245 0.3478 0.3121 0.8591 0.7708
■ 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
2010-11 SUNY Potsdam D3 — FR 22 5 8 13 0.591
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.59
2010-11 · SUNY Potsdam
+175.1% vs. projection

NCAAe Rankings

#13973
Forward overall
#555
Forward born in 1989
#813
in OJHL

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.38 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.40 No data
NCAAe PPG
Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Robert Clerc
SUNY Potsdam · 2017-18
0.625 Average
actual D2/3 PPG
Jack Johnson
Saint John's · 2018-19
0.957 Strong
actual D2/3 PPG
Arlen Marshall
Manhattanville · 2005-06
0.840 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.