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Paul Minnehan Elite Prospects ↗

Position: Forward DOB: 2003-04-09 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 Muskegon Lumberjacks USHL 2 0 0 0 0.000 — — — —
2020-21 — NAHL 36 6 14 20 0.556 0.2201 0.2201 0.5833 0.5833
2021-22 Northeast Generals NAHL 57 23 41 64 1.123 0.4449 0.4626 1.1788 1.2257
2022-23 Northeast Generals NAHL 48 26 40 66 1.375 0.5448 0.5397 1.4436 1.4301
2023-24 Des Moines Buccaneers USHL 51 12 16 28 0.549 0.3375 0.3029 1.6175 1.4515
■ 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 Sacred Heart D1 AHA SO 12 2 0 2 0.167
2024-25 Sacred Heart D1 AHA — 14 1 3 4 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.29
2024-25 · Sacred Heart
-16.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
8%
NCAA D2/D3
52%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#7638
Forward overall
#294
Forward born in 2003
#626
in USHL

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Devin Panzeca
SUNY Potsdam · 2017-18
0.667 Strong
actual D2/3 PPG
Richard McCartney
SUNY Plattsburgh · 2016-17
0.923 Strong
actual D2/3 PPG
Connor Inger
New England College · 2017-18
0.692 Strong
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.