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Levi Gauerke Elite Prospects ↗

Position: Defense DOB: 2003-01-01 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
2022-23 Provo Predators USPHL-Premier 34 0 3 3 0.088 0.0115 0.0111 0.0299 0.0289
2023-24 Columbia Infantry USPHL-Premier 41 2 4 6 0.146 0.0191 0.0175 0.0497 0.0456
■ 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 Waldorf University ACHA_D1 — — 9 0 0 0 0.000
2024-25 Waldorf University ACHA_D1 — — 9 0 0 0 0.000
2023-24 Waldorf University ACHA_D1 — — 9 0 0 0 0.000
2022-23 Waldorf University ACHA_D1 — — 9 0 0 0 0.000
2021-22 Waldorf University ACHA_D1 — — 9 0 0 0 0.000
2020-21 Waldorf University ACHA_D1 — — 9 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#27937
Defenseman overall
#4206
Defenseman born in 2003
#7003
in USPHL-Premier

D1 Comparables

Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

T.J. Wees
St. Norbert · 2010-11
0.091 Developing
actual D2/3 PPG
Brent Lafayette
Elmira · 2014-15
0.105 Developing
actual D2/3 PPG
Mark Snarr
St. Norbert · 2021-22
0.091 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.