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Gunnar Williams Elite Prospects ↗

Position: Defense DOB: 2003-06-11 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 Janesville Jets NAHL 1 0 0 0 0.000 — — — —
2020-21 Janesville Jets NAHL 14 0 2 2 0.143 0.0508 0.0508 0.1500 0.1500
2021-22 Janesville Jets NAHL 46 1 13 14 0.304 0.1081 0.1133 0.3195 0.3350
2022-23 Janesville Jets NAHL 51 5 9 14 0.275 0.0975 0.0974 0.2882 0.2880
2023-24 — NAHL 10 0 0 0 0.000 — — — —
■ 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 Augsburg D3 MIAC SR 20 0 4 4 0.200
2024-25 Augsburg D3 MIAC JR 23 3 2 5 0.217
2023-24 Augsburg D3 MIAC SO 12 1 7 8 0.667
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.67
2023-24 · Augsburg
+581.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
12%
NCAA D2/D3
35%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#23651
Defenseman overall
#3792
Defenseman born in 2003
#6355
in NAHL

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Van Sullivan
Gustavus Adolphus · 2013-14
0.652 Strong
actual D2/3 PPG
Corey Domenico
SUNY Oswego · 2008-09
0.000 No data
actual D2/3 PPG
Tim Larocque
Plymouth State · 2015-16
0.391 Average
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.