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Gunnar Goodmanson Elite Prospects ↗

Position: Forward DOB: 1996-08-28 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
2014-15 Buffalo High USHS-MN 21 23 27 50 2.381 0.3014 0.2784 — —
2015-16 Kenai River Brown Bears NAHL 58 7 13 20 0.345 0.1267 0.1274 0.3639 0.3659
2016-17 — NAHL 49 4 9 13 0.265 0.0975 0.0927 0.2800 0.2663
■ 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
2020-21 Augsburg D1 MIAC SR 5 1 3 4 0.800
2020-21 Augsburg D3 MIAC SR 5 1 3 4 0.800
2019-20 Augsburg D1 MIAC JR 20 6 8 14 0.700
2019-20 Augsburg D3 MIAC JR 20 6 8 14 0.700
2018-19 Augsburg D1 MIAC SO 16 1 6 7 0.438
2018-19 Augsburg D3 MIAC SO 16 1 6 7 0.438
2017-18 Augsburg D3 MIAC FR 24 3 7 10 0.417
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.42
2017-18 · Augsburg
+356.9% vs. projection

NCAAe Rankings

#22913
Forward overall
#917
Forward born in 1996

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
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

D2/3 Comparables

Tanner Skaja
Wisconsin-Superior · 2015-16
0.240 Developing
actual D2/3 PPG
Livio Azevedo
SUNY Brockport · 2023-24
0.227 Developing
actual D2/3 PPG
Jonathan Lush
Misericordia · 2022-23
0.320 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.