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Brayden Goddard Elite Prospects ↗

Position: Defense DOB: 2003-03-26 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
2021-22 Midwest Blackbirds USPHL-Premier 25 4 8 12 0.480 0.0628 0.0645 0.1629 0.1673
2022-23 Florida Eels USPHL-Premier 42 5 17 22 0.524 0.0685 0.0670 0.1778 0.1738
2023-24 Florida Eels USPHL-Premier 43 13 30 43 1.000 0.1308 0.1216 0.3394 0.3154
■ 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 Cleary University ACHA_D1 — — 24 1 9 10 0.417
2024-25 Cleary University ACHA_D1 — — 24 1 9 10 0.417
2023-24 Cleary University ACHA_D1 — — 24 1 9 10 0.417
2022-23 Cleary University ACHA_D1 — — 24 1 9 10 0.417
2021-22 Cleary University ACHA_D1 — — 24 1 9 10 0.417
2020-21 Cleary University ACHA_D1 — — 24 1 9 10 0.417

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#4916
Defenseman overall
#1211
Defenseman born in 2003
#1577
in USPHL-Premier

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Zachary Feldman
Lake Forest · 2015-16
0.500 Average
actual D2/3 PPG
Stephen Kyrkostas
Albertus Magnus · 2021-22
0.375 Average
actual D2/3 PPG
Valentin Sverdlov
Castleton · 2017-18
0.364 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.