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Stanley Hubbard Elite Prospects ↗

Position: Forward DOB: 2005-06-04 Country: USA
Robert Morris
AHA D1

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 New Mexico Ice Wolves NA3HL 45 6 17 23 0.511 0.0641 0.0696 0.1614 0.1752
2023-24 New Mexico Ice Wolves NA3HL 38 10 10 20 0.526 0.0661 0.0686 0.1662 0.1724
2024-25 New Mexico Ice Wolves NAHL 49 6 8 14 0.286 0.1050 0.1048 0.3016 0.3010
2025-26 New Mexico Ice Wolves NAHL 57 11 12 23 0.404 0.1482 0.1406 0.4259 0.4041
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
12%
NCAA D2/D3
57%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#39127
Forward overall
#2463
Forward born in 2005

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

Robert Morris Alumni similar profiles who attended this school

Matthew Boczar
NAHL 2021-22
0.18
actual FR PPG at Robert Morris
Charles Merkley
NAHL 2021-22
0.00
actual FR PPG at Robert Morris
Ryley Risling
BCHL 2016-17
0.30
actual FR PPG at Robert Morris
Patrick Johnson
NAHL 2023-24
0.24
actual FR PPG at Robert Morris

D2/3 Comparables

Taylor Gauld
Concordia · 2014-15
0.520 Average
actual D2/3 PPG
Derek Mecrones
University of New England · 2016-17
0.483 Average
actual D2/3 PPG
Jake Watchorn
Finlandia · 2009-10
0.333 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.