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Brett Merner Elite Prospects ↗

Position: Defense DOB: 2004-01-11 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
2021-22 Nanaimo Clippers BCHL 52 3 5 8 0.154 0.0593 0.0626 0.2238 0.2364
2022-23 Nanaimo Clippers BCHL 52 3 17 20 0.385 0.1482 0.1493 0.5597 0.5637
2023-24 Nanaimo Clippers BCHL 54 5 37 42 0.778 0.2997 0.2881 1.1319 1.0881
■ 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 Colgate D1 ECAC SO 18 2 5 7 0.389
2024-25 Colgate D1 ECAC — 35 3 6 9 0.257
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.26
2024-25 · Colgate
+17.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
2%
NCAA D2/D3
18%
Age-Out / Club
45%
Pro / Other

NCAAe Rankings

#7452
Defenseman overall
#1769
Defenseman born in 2004
#1642
in BCHL

D1 Comparables

Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG

D2/3 Comparables

Simon Boyko
Aurora · 2018-19
1.037 Elite
actual D2/3 PPG
Nick Catanzaro
SUNY Cortland · 2002-03
0.958 Strong
actual D2/3 PPG
Greg Harris
Wisconsin-Eau Claire · 2000-01
0.722 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.