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Brett Meerman Elite Prospects ↗

Position: Forward DOB: 2002-02-04 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
2019-20 Grande Prairie Storm AJHL 43 8 11 19 0.442 0.1482 0.1482 0.4089 0.4089
2020-21 Grande Prairie Storm AJHL 18 4 5 9 0.500 0.1677 0.1677 0.4627 0.4627
2021-22 Blackfalds Bulldogs AJHL 60 25 37 62 1.033 0.3466 0.3325 0.9562 0.9173
2022-23 Blackfalds Bulldogs AJHL 60 30 64 94 1.567 0.5255 0.4781 1.4498 1.3190
■ 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 Augustana D1 CCHA JR 36 13 15 28 0.778
2024-25 Augustana D1 CCHA SR 35 7 16 23 0.657
2023-24 Augustana D1 CCHA JR 29 3 10 13 0.448
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.36
before college
→
Actual FR PPG
0.45
2023-24 · Augustana
+24.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
0%
NCAA D2/D3
48%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#10203
Forward overall
#495
Forward born in 2002
#117
in AJHL

D1 Comparables

Trevor Mingoia
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.47 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG

D2/3 Comparables

Kelly Wosnack
St. Norbert · 2001-02
0.909 Strong
actual D2/3 PPG
Chad Anderson
Norwich · 2006-07
1.000 Elite
actual D2/3 PPG
Trent Flory
Utica · 2000-01
0.920 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.