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Grady Gallatin Elite Prospects ↗

Position: Defense DOB: 2004-06-07 Country: USA
No commitment set

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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 White Bear Lake USHS-MN 20 0 0 0 0.000 — — — —
2020-21 White Bear Lake USHS-MN 21 1 11 12 0.571 0.1538 0.1538 0.1388 0.1388
2021-22 White Bear Lake USHS-MN 27 4 14 18 0.667 0.1795 0.1795 0.1619 0.1619
2022-23 White Bear Lake USHS-MN 25 6 9 15 0.600 0.1615 0.1615 0.1457 0.1457
2023-24 Janesville Jets NAHL 51 3 17 20 0.392 0.1554 0.1556 0.4118 0.4122
■ 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 Western Michigan D1 NCHC SO 11 1 1 2 0.182
2024-25 Western Michigan D1 NCHC — 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
10%
NCAA D2/D3
30%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#9441
Defenseman overall
#2088
Defenseman born in 2004

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.13 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.14 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.26 Strong D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.26 Average D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.21 Average D
NCAAe PPG

D2/3 Comparables

Kyle Gallegos
Tufts · 2009-10
1.150 Elite
actual D2/3 PPG
Eric Holland
Utica · 2017-18
0.524 Average
actual D2/3 PPG
Johnny Duco
SUNY Oswego · 2003-04
0.280 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.