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Brody Waters Elite Prospects ↗

Position: Forward DOB: 2002-04-09 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
2020-21 Nanaimo Clippers BCHL 20 5 5 10 0.500 0.1926 0.1926 0.7266 0.7266
2021-22 Nanaimo Clippers BCHL 49 11 15 26 0.531 0.2044 0.1979 0.7710 0.7465
2022-23 Nanaimo Clippers BCHL 51 22 39 61 1.196 0.4609 0.4237 1.7381 1.5978
■ 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 Bowling Green D1 CCHA JR 36 7 8 15 0.417
2024-25 Bowling Green D1 CCHA SR 36 16 6 22 0.611
2023-24 Bowling Green D1 CCHA JR 34 6 9 15 0.441
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.44
2023-24 · Bowling Green
+54.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
2%
NCAA D2/D3
38%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#15285
Forward overall
#777
Forward born in 2002
#597
in BCHL

D1 Comparables

Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

D2/3 Comparables

Tanner Dalton
Milwaukee School of Engineering · 2017-18
0.000 No data
actual D2/3 PPG
Braden Desmet
Wisconsin-Superior · 2005-06
1.391 Elite
actual D2/3 PPG
Boyd Stahlbaum
Wisconsin-Stout · 2022-23
1.111 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.