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Brady Yakesh Elite Prospects ↗

Position: Defense DOB: 2003-09-15 Country: USA
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 Benilde-St. Margaret's USHS-MN 16 2 10 12 0.750 0.0949 0.0949 0.1822 0.1822
2020-21 Benilde-St. Margaret's USHS-MN 19 4 11 15 0.789 0.1000 0.1000 0.1918 0.1918
2021-22 Chippewa Steel NAHL 7 2 2 4 0.571 0.2099 0.2228 0.6031 0.6402
2022-23 — USHL 57 2 13 15 0.263 0.1553 0.1505 0.7905 0.7658
2023-24 — BCHL 51 4 21 25 0.490 0.1889 0.1785 0.7134 0.6743
■ 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 Lindenwood D1 CCHA SO 19 0 2 2 0.105
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.11
2025-26 · Lindenwood
-33.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
12%
NCAA D2/D3
25%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#5725
Defenseman overall
#1401
Defenseman born in 2003

D1 Comparables

Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

Zac Boyle
Neumann · 2016-17
0.389 Average
actual D2/3 PPG
Roman Cherniak
Lawrence · 2024-25
0.842 Strong
actual D2/3 PPG
Brady Harroun
Norwich · 2022-23
0.400 Average
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.