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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 0.0512 0.0521 0.1325 0.1349
2023-24 Red River Spartans USPHL-Premier 30 14 20 34 1.133 0.1487 0.1442 0.3848 0.3731
2024-25 Red River Spartans USPHL-Premier 41 30 47 77 1.878 0.2464 0.2245 0.6376 0.5809
■ 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 Morrisville D3 SUNYAC FR 24 0 1 1 0.042
2025-26 SUNY Morrisville D3 SUNYAC FR 24 0 1 1 0.042
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.04
2025-26 · Morrisville
-74.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#8140
Forward overall
#303
Forward born in 2004
#289
in USPHL-Premier

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

D2/3 Comparables

Franco Loparco
Concordia · 2012-13
0.500 Average
actual D2/3 PPG
Dan Sherer
Milwaukee School of Engineering · 2012-13
1.000 Elite
actual D2/3 PPG
Bryden McGhee
Williams · 2009-10
0.550 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.