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Blake Cotton Elite Prospects ↗

Position: Forward DOB: 2004-02-07 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 Surrey Eagles BCHL 3 0 0 0 0.000 — — — —
2022-23 — BCHL 48 8 14 22 0.458 0.1766 0.1785 0.6678 0.6750
2023-24 Cranbrook Bucks BCHL 53 13 7 20 0.377 0.1454 0.1403 0.5499 0.5307
2024-25 Cranbrook Bucks BCHL 42 15 14 29 0.691 0.2660 0.2433 1.0061 0.9203
■ 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 Trinity D3 NESCAC — 20 7 6 13 0.650
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.65
2025-26 · Trinity
+275.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
8%
NCAA D2/D3
45%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#28044
Forward overall
#1632
Forward born in 2004
#1539
in BCHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Reid Bibb
Buffalo State · 2016-17
0.963 Strong
actual D2/3 PPG
Travis Broughman
SUNY Oswego · 2017-18
0.852 Strong
actual D2/3 PPG
Drew Iannucci
Arcadia · 2021-22
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.