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Maxwell Chakrabarti Elite Prospects ↗

Position: Defense DOB: 2005-06-21 Country: Canada
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
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 Cranbrook Bucks BCHL 1 0 0 0 0.000 — — — —
2024-25 Weyburn Red Wings SJHL 56 14 36 50 0.893 0.2720 0.2697 0.6617 0.6561
■ 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 Augustana D1 CCHA — 37 1 5 6 0.162
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.16
2025-26 · Augustana
-36.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
5%
NCAA D2/D3
28%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#3714
Defenseman overall
#994
Defenseman born in 2005

D1 Comparables

Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.26 Strong D
NCAAe PPG
Niklas Nevalainen
USHL · 2012-13 · 0.55 PPG
→ St. Cloud State (0.23 D1 FR PPG)
0.32 Average D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.26 Average D
NCAAe PPG
Mike McKee
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.05 D1 FR PPG)
0.30 Developing D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.28 Developing D
NCAAe PPG

D2/3 Comparables

Roman Uchyn
St. Norbert · 2013-14
0.690 Strong
actual D2/3 PPG
Cameron Weitzman
Albertus Magnus · 2018-19
0.750 Strong
actual D2/3 PPG
Larry Jungwirth
Aurora · 2016-17
0.778 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.