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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 0.2019 0.2019 0.1822 0.1822
2020-21 Benilde-St. Margaret's USHS-MN 19 4 11 15 0.789 0.2125 0.2125 0.1918 0.1918
2021-22 Chippewa Steel NAHL 7 2 2 4 0.571 0.2264 0.2403 0.5999 0.6368
2022-23 — USHL 57 2 13 15 0.263 0.1618 0.1568 0.7754 0.7512
2023-24 — BCHL 51 4 21 25 0.490 0.1826 0.1726 0.7143 0.6751
■ 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
-32.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
12%
NCAA D2/D3
45%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#5506
Defenseman overall
#1388
Defenseman born in 2003

D1 Comparables

Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.25 Elite D
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.23 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.18 No data
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG

D2/3 Comparables

Zac Boyle
Neumann · 2016-17
0.389 Average
actual D2/3 PPG
Cody Pisarczyk
Wisconsin-Stevens Point · 2024-25
0.462 Average
actual D2/3 PPG
Brendan Hull
Marian · 2006-07
0.852 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.