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Blake Setter Elite Prospects ↗

Position: Forward DOB: 2003-01-31 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 Calgary Canucks AJHL 6 0 0 0 0.000 — — — —
2020-21 Calgary Canucks AJHL 14 2 3 5 0.357 0.1198 0.1198 0.3310 0.3310
2021-22 Calgary Canucks AJHL 47 6 12 18 0.383 0.1285 0.1296 0.3550 0.3581
2022-23 Calgary Canucks AJHL 38 6 11 17 0.447 0.1501 0.1440 0.4147 0.3978
2023-24 Lloydminster Bobcats AJHL 56 24 30 54 0.964 0.3234 0.2950 0.8937 0.8151
■ 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 Wisconsin-Superior D3 WIAC SO 24 5 0 5 0.208
2024-25 Wisconsin-Superior D3 WIAC FR 14 1 1 2 0.143
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.14
2024-25 · Wisconsin-Superior
-28.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
2%
NCAA D2/D3
60%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#19855
Forward overall
#1028
Forward born in 2003
#470
in AJHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG

D2/3 Comparables

Tyler Bullard
Canton · 2015-16
0.957 Strong
actual D2/3 PPG
Tim Kielich
SUNY Brockport · 2014-15
1.192 Elite
actual D2/3 PPG
Derek Hansberry
Wisconsin-River Falls · 2004-05
1.259 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.