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Braden Paquette Elite Prospects ↗

Position: Forward DOB: 2000-09-18 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
2016-17 Calgary Mustangs AJHL 4 0 1 1 0.250 0.0838 0.0956 0.2314 0.2640
2017-18 Calgary Mustangs AJHL 47 6 7 13 0.277 0.0928 0.1007 0.2560 0.2777
2018-19 Calgary Canucks AJHL 3 0 2 2 0.667 0.2236 0.2317 0.6170 0.6393
■ 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
2024-25 Salve Regina D3 CNE SR 2 1 0 1 0.500
2023-24 Salve Regina D3 CNE JR 5 0 0 0 0.000
2022-23 Salve Regina D3 CNE SO 23 4 1 5 0.217
2021-22 Salve Regina D3 CNE FR 12 2 2 4 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.33
2021-22 · Salve Regina
+117.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
0%
NCAA D2/D3
57%
Pro / Other

NCAAe Rankings

#48723
Forward overall
#2815
Forward born in 2000
#2038
in AJHL

D1 Comparables

Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan State (0.25 D1 FR PPG)
0.27 Developing
NCAAe PPG
Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.31 Strong
NCAAe PPG
Zach Aston-Reese
USHL · 2012-13 · 0.50 PPG
→ Northeastern (0.54 D1 FR PPG)
0.30 Average
NCAAe PPG
Mitch Hults
USHL · 2012-13 · 0.46 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.28 Average
NCAAe PPG
Jake Horton
USHL · 2012-13 · 0.43 PPG
→ Harvard (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Colby Nichol
Augsburg · 2002-03
0.850 Strong
actual D2/3 PPG
Lucas Culhane
Neumann · 2021-22
1.042 Elite
actual D2/3 PPG
Landry Schmuck
Aurora · 2021-22
1.571 Elite
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.