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

Brett Van Os Elite Prospects ↗

Position: Forward DOB: 1996-02-21 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
2014-15 Sherwood Park Crusaders AJHL 57 7 11 18 0.316 0.1059 0.1067 0.2922 0.2944
2015-16 Sherwood Park Crusaders AJHL 57 16 20 36 0.632 0.2118 0.2035 0.5845 0.5617
2016-17 Calgary Canucks AJHL 59 15 40 55 0.932 0.3127 0.2852 0.8627 0.7869
■ 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
2020-21 Western Michigan D1 NCHC — 24 4 4 8 0.333
2019-20 Western Michigan D1 NCHC — 22 3 5 8 0.364
2018-19 Western Michigan D1 NCHC — 7 0 0 0 0.000
2017-18 Western Michigan D1 NCHC — 27 3 3 6 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.22
2017-18 · Western Michigan
+2.8% vs. projection

NCAAe Rankings

#23933
Forward overall
#957
Forward born in 1996
#643
in AJHL

D1 Comparables

David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Nick Zappia
SUNY Cortland · 2010-11
0.640 Average
actual D2/3 PPG
Caden Pendo
Chatham · 2024-25
1.037 Elite
actual D2/3 PPG
Shawn Metheral
Wentworth · 2000-01
1.069 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.