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Gavin Morrissey Elite Prospects ↗

Position: Forward DOB: 2003-02-16 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 Austin Bruins NAHL 42 5 6 11 0.262 0.1038 0.1072 0.2750 0.2840
2022-23 Austin Bruins NAHL 59 17 44 61 1.034 0.4096 0.4029 1.0855 1.0676
2023-24 Fargo Force USHL 34 10 14 24 0.706 0.4339 0.3863 2.0797 1.8515
■ 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 Wisconsin D1 BigTen SO 36 9 27 36 1.000
2024-25 Wisconsin D1 BigTen — 37 9 23 32 0.865
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.86
2024-25 · Wisconsin
+157.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
2%
NCAA D2/D3
42%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#11604
Forward overall
#525
Forward born in 2003

D1 Comparables

David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Trevor Mingoia
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.49 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG

D2/3 Comparables

Jonathan Schultz
St. Norbert · 2001-02
1.125 Elite
actual D2/3 PPG
Alex Botten
SUNY Oswego · 2012-13
1.133 Elite
actual D2/3 PPG
Michael Padgeon
Anna Maria · 2018-19
0.706 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.