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Max Giblin Elite Prospects ↗

Position: Defense DOB: 2004-05-10 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 Hudson (Wis.) USHS-MN 6 3 4 7 1.167 0.3141 0.3141 0.2834 0.2834
2021-22 Hudson (Wis.) USHS-MN 4 2 4 6 1.500 0.4038 0.4038 0.3644 0.3644
2022-23 — NAHL 56 2 8 10 0.179 0.0708 0.0740 0.1875 0.1959
2023-24 El Paso Rhinos NAHL 22 1 2 3 0.136 0.0540 0.0538 0.1432 0.1428
■ 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 Augsburg D3 MIAC — 25 2 2 4 0.160
2024-25 Wisconsin-Eau Claire D3 WIAC SO 9 0 1 1 0.111
2023-24 Wisconsin-Eau Claire D3 WIAC FR 1 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
15%
NCAA D2/D3
30%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#23910
Defenseman overall
#3887
Defenseman born in 2004

D1 Comparables

Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.14 Average D
NCAAe PPG
James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.13 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.09 No data
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.14 Average D
NCAAe PPG

D2/3 Comparables

Isaac Barrett
Utica · 2023-24
0.000 No data
actual D2/3 PPG
Critter Nagurski
Augsburg · 2002-03
0.545 Average
actual D2/3 PPG
Andrew Ray
Southern New Hampshire · 2018-19
0.250 Developing
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.