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Brayden Stannard Elite Prospects ↗

Position: Forward DOB: 2002-11-25 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 Maryland Black Bears NAHL 46 13 22 35 0.761 0.2796 0.2796 0.8031 0.8031
2020-21 — USHL 27 0 6 6 0.222 0.1311 0.1311 0.6674 0.6674
2021-22 — USHL 36 0 7 7 0.194 0.1147 0.1125 0.5839 0.5725
2022-23 Maryland Black Bears NAHL 44 6 21 27 0.614 0.2254 0.2191 0.6477 0.6297
■ 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 Lehigh University ACHA_D1 — — 2 0 0 0 0.000
2024-25 Lehigh University ACHA_D1 — — 2 0 0 0 0.000
2023-24 Lehigh University ACHA_D1 — — 2 0 0 0 0.000
2022-23 Lehigh University ACHA_D1 — — 2 0 0 0 0.000
2021-22 Lehigh University ACHA_D1 — — 2 0 0 0 0.000
2020-21 Lehigh University ACHA_D1 — — 2 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D1
5%
NCAA D2/D3
32%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#31365
Forward overall
#1845
Forward born in 2002
#2912
in NAHL

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Matt Hughes
Finlandia · 2007-08
1.286 Elite
actual D2/3 PPG
Jason Ladzinski
Franklin Pierce · 2018-19
0.387 Average
actual D2/3 PPG
Clayton Boyd
Neumann · 2016-17
0.462 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.