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Tanner Duncan Elite Prospects ↗

Position: Forward DOB: 2005-07-17 Country: USA
Stonehill
Ind. 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 Trinity-Pawling NE-Prep 22 3 2 5 0.227 0.0457 0.0457 0.1039 0.1039
2023-24 Trinity-Pawling NE-Prep 23 4 10 14 0.609 0.1224 0.1224 0.2784 0.2784
2024-25 Maryland Black Bears NAHL 47 14 12 26 0.553 0.2032 0.2040 0.5847 0.5870
2025-26 Maryland Black Bears NAHL 54 28 47 75 1.389 0.5103 0.4872 1.4679 1.4015
■ 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
2026-27 Stonehill D1 AHA FR 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
5%
NCAA D2/D3
30%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#11466
Forward overall
#522
Forward born in 2005

D1 Comparables

Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.49 Developing
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.46 Developing
NCAAe PPG
Tim Bonner
USHL · 2012-13 · 0.89 PPG
→ Yale
0.48 No data
NCAAe PPG
Jared VanWormer
NAHL · 2012-13 · 1.27 PPG
→ Ferris State (0.19 D1 FR PPG)
0.44 Developing
NCAAe PPG
A.J. Reid
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.41 Developing
NCAAe PPG

Stonehill Alumni similar profiles who attended this school

Hayden Fechner
BCHL 2025-26
0.00
actual FR PPG at Stonehill
Liam Fitzpatrick
BCHL 2025-26
0.00
actual FR PPG at Stonehill
Justin Barker
AJHL 2022-23
0.29
actual FR PPG at Stonehill
Joel Lehtinen
NAHL 2023-24
0.30
actual FR PPG at Stonehill

D2/3 Comparables

Alex Ochterbeck
Curry · 2017-18
0.654 Strong
actual D2/3 PPG
Scott Motz
Wisconsin-Stout · 2005-06
1.286 Elite
actual D2/3 PPG
Randall Smisko
Wisconsin-Superior · 2000-01
1.000 Elite
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.