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Brayden Goncalves Elite Prospects ↗

Position: Forward DOB: 2004-01-15 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
2022-23 Red River Spartans USPHL-Premier 41 8 8 16 0.390 0.1286 0.1309 0.1327 0.1351
2023-24 Red River Spartans USPHL-Premier 30 14 20 34 1.133 0.3735 0.3622 0.3855 0.3738
2024-25 Red River Spartans USPHL-Premier 41 30 47 77 1.878 0.6190 0.5640 0.6389 0.5821
■ 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 SUNY Morrisville D3 SUNYAC — 24 0 1 1 0.042
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.41
before college
→
Actual FR PPG
0.04
2025-26 · SUNY Morrisville
-89.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D2/D3
0%
Club / ACHA
2%
Other

NCAAe Rankings

#7572
Forward overall
#272
Forward born in 2004
#288
in USPHL-Premier

D1 Comparables

Trevor Mingoia
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.49 Developing
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.52 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota (0.15 D1 FR PPG)
0.51 Developing
NCAAe PPG

D2/3 Comparables

Franco Loparco
Concordia (WI) · 2012-13
0.500 Average
actual D2/3 PPG
Dan Sherer
Milwaukee School of Engineering · 2012-13
1.000 Elite
actual D2/3 PPG
Sean Burke
SUNY Plattsburgh · 2003-04
0.000 No data
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.