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Max Rud Elite Prospects ↗

Position: Defense DOB: 2003-09-17 Country: USA
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
2019-20 St. Cloud USHS-MN 26 2 18 20 0.769 0.2071 0.2071 0.2625 0.2625
2020-21 Sioux Falls Stampede USHL 9 0 3 3 0.333 0.2049 0.2049 0.9820 0.9820
2021-22 Sioux Falls Stampede USHL 62 4 18 22 0.355 0.2181 0.2227 1.0453 1.0673
2022-23 Sioux Falls Stampede USHL 60 3 25 28 0.467 0.2869 0.2780 1.3750 1.3324
■ 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 Minnesota D1 BigTen JR 23 1 1 2 0.087
2024-25 Minnesota D1 BigTen — 0 0 0 0 0.000
2023-24 Minnesota D1 BigTen — 20 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

72%
NCAA D1
0%
NCAA D2/D3
15%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#2965
Defenseman overall
#735
Defenseman born in 2003

D1 Comparables

Mike McKee
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.05 D1 FR PPG)
0.30 Developing D
NCAAe PPG
Ryan Murray
WHL · 2012-13 · 0.74 PPG
→ Hamline (0.28 D1 FR PPG)
0.35 Average D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Nelson Armstrong
OHL · 2012-13 · 0.52 PPG
→ St. Lawrence (0.19 D1 FR PPG)
0.30 Average D
NCAAe PPG

D2/3 Comparables

Michael Mania
UMass Dartmouth · 2018-19
0.667 Strong
actual D2/3 PPG
Anthony Marra
SUNY Geneseo · 2013-14
1.161 Elite
actual D2/3 PPG
Justin Joy
SUNY Plattsburgh · 2001-02
0.966 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.