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Max Hamstad Elite Prospects ↗

Position: Forward DOB: 2003-03-18 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 Centennial USHS-MN 27 1 3 4 0.148 0.0182 0.0182 0.0360 0.0360
2020-21 White Bear Lake USHS-MN 21 15 14 29 1.381 0.1701 0.1701 0.3354 0.3354
2021-22 Philadelphia Rebels NAHL 60 12 13 25 0.417 0.1480 0.1534 0.4375 0.4536
2022-23 Philadelphia Rebels NAHL 54 16 28 44 0.815 0.2894 0.2858 0.8555 0.8449
2023-24 NAHL 55 7 20 27 0.491 0.1744 0.1639 0.5154 0.4844
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 Bethel D3 MIAC 26 3 5 8 0.308
2024-25 Bethel D3 MIAC 23 2 3 5 0.217
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
Actual FR PPG
0.22
2024-25 · Bethel
+19.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
8%
NCAA D2/D3
52%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#23937
Forward overall
#1317
Forward born in 2003

D1 Comparables

USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Skidmore · 2016-17
0.478 Average
actual D2/3 PPG
Wisconsin-Stevens Point · 2008-09
0.474 Average
actual D2/3 PPG
Lake Forest · 2000-01
0.000 No data
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.