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Brendan Wang Elite Prospects ↗

Position: Defense DOB: 2002-02-08 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
2018-19 Prince George Spruce Kings BCHL 1 0 0 0 0.000 — — — —
2019-20 Prince George Spruce Kings BCHL 4 0 0 0 0.000 — — — —
2020-21 Fort McMurray Oil Barons AJHL 15 1 12 13 0.867 0.2876 0.2876 0.8033 0.8033
2021-22 Fort McMurray Oil Barons AJHL 55 7 30 37 0.673 0.2232 0.2142 0.6235 0.5985
■ 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
2025-26 Princeton D1 ECAC SR 9 0 1 1 0.111
2024-25 Princeton D1 ECAC JR 25 1 1 2 0.080
2023-24 Princeton D1 ECAC SO 25 0 1 1 0.040
2022-23 Princeton D1 ECAC FR 18 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
0%
NCAA D2/D3
28%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#4376
Defenseman overall
#1157
Defenseman born in 2002

D1 Comparables

Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.27 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.27 Developing D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.17 Elite D
NCAAe PPG

D2/3 Comparables

Garrett Alberti
Saint Anselm · 2021-22
0.625 Average
actual D2/3 PPG
Mark Kishko
Lebanon Valley · 2017-18
0.250 Developing
actual D2/3 PPG
Bradley Tierney
Milwaukee School of Engineering · 2008-09
0.963 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.