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Samuel Groebner Elite Prospects ↗

Position: Defense DOB: 2003-03-03 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
2021-22 Minnesota Magicians NAHL 31 1 3 4 0.129 0.0511 0.0529 0.1354 0.1401
2022-23 Wisconsin Windigo NAHL 45 0 12 12 0.267 0.1057 0.1042 0.2800 0.2760
2023-24 Wisconsin Windigo NAHL 59 0 17 17 0.288 0.1141 0.1070 0.3025 0.2837
■ 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 Army D1 AHA — 35 0 7 7 0.200
2024-25 Army D1 AHA — 38 2 7 9 0.237
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.24
2024-25 · Army
+136.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
20%
NCAA D2/D3
48%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#17493
Defenseman overall
#3131
Defenseman born in 2003
#5438
in NAHL

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota (0.06 D1 FR PPG)
0.05 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Morley Phillips
SUNY Cortland · 2024-25
0.462 Average
actual D2/3 PPG
Timothy Baylis
Southern New Hampshire · 2013-14
0.474 Average
actual D2/3 PPG
Will Rosen
Saint Anselm · 2021-22
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.