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Carson Buydens Elite Prospects ↗

Position: Forward DOB: 2004-03-10 Country: Canada
No commitment set

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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 Virden Oil Capitals MJHL 54 27 26 53 0.982 0.2669 0.2855 0.6185 0.6615
2022-23 — USHL 30 1 1 2 0.067 0.0410 0.0407 0.1965 0.1951
■ 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 Princeton D1 ECAC JR 15 0 2 2 0.133
2024-25 Princeton D1 ECAC SO 29 1 3 4 0.138
2023-24 Princeton D1 ECAC FR 22 2 1 3 0.136
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.14
2023-24 · Princeton
+14.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
5%
NCAA D2/D3
12%
Age-Out / Club
57%
Pro / Other

NCAAe Rankings

#44835
Forward overall
#2994
Forward born in 2004

D1 Comparables

David Parrottino
USHL · 2012-13 · 0.14 PPG
→ Canisius
0.09 No data
NCAAe PPG
Ryan McMurphy
USHL · 2012-13 · 0.14 PPG
→ Bentley (0.39 D1 FR PPG)
0.08 Average
NCAAe PPG
Jordan Boucher
USHL · 2012-13 · 0.23 PPG
→ Clarkson (0.28 D1 FR PPG)
0.14 Developing
NCAAe PPG
Ben Storm
USHL · 2012-13 · 0.23 PPG
→ St. Cloud State (0.03 D1 FR PPG)
0.14 Developing
NCAAe PPG
Tim Lappin
USHL · 2012-13 · 0.24 PPG
→ Brown (0.50 D1 FR PPG)
0.14 Average
NCAAe PPG

D2/3 Comparables

Cody Ganchar
Milwaukee School of Engineering · 2009-10
0.862 Strong
actual D2/3 PPG
J.J. Berdal
Albertus Magnus · 2018-19
0.000 No data
actual D2/3 PPG
Tristan Shewchuk
St. Scholastica · 2017-18
0.783 Strong
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.