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Brice Cooke Elite Prospects ↗

Position: Forward DOB: 2004-03-23 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 Niagara IceDogs OHL 64 18 10 28 0.438 0.2539 0.2630 1.1211 1.1613
2022-23 Brampton Steelheads OHL 66 6 5 11 0.167 0.0967 0.0960 0.4272 0.4241
2023-24 North Bay Battalion OHL 63 13 12 25 0.397 0.2303 0.2176 1.0168 0.9606
2024-25 Toronto Patriots OJHL 52 36 33 69 1.327 0.3986 0.3618 0.9083 0.8245
■ 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 Canisius D1 AHA FR 11 0 2 2 0.182
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.18
2025-26 · Canisius
-30.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
5%
NCAA D2/D3
48%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#18059
Forward overall
#922
Forward born in 2004

D1 Comparables

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)
0.37 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG

D2/3 Comparables

Tim Kielich
SUNY Brockport · 2014-15
1.192 Elite
actual D2/3 PPG
Tyler Bullard
Canton · 2015-16
0.957 Strong
actual D2/3 PPG
Nicholas Bennett
Elmira · 2024-25
0.739 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.