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Lincoln Kuehne Elite Prospects ↗

Position: Defense DOB: 2007-11-28 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
2023-24 U.S. National U17 Team NTDP-U18 53 2 9 11 0.207 0.1609 0.1694 0.7723 0.8130
2024-25 U.S. National U18 Team NTDP-U18 61 2 8 10 0.164 0.1271 0.1278 0.6100 0.6135
2025-26 U.S. National U18 Team NTDP-U18 2 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 Arizona State D1 NCHC FR 30 1 1 2 0.067
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.07
2025-26 · Arizona State
-51.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
8%
NCAA D2/D3
20%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#16471
Defenseman overall
#2100
Defenseman born in 2007
#45
in NTDP-U18

D1 Comparables

Kale Bennett
USHL · 2012-13 · 0.07 PPG
→ Western Michigan
0.05 No data
NCAAe PPG
Tyler Morrison
WHL · 2012-13 · 0.33 PPG
→ Northland
0.17 No data
NCAAe PPG
R.J. Gicewicz
USHL · 2012-13 · 0.33 PPG
→ St. Lawrence (0.22 D1 FR PPG)
0.22 Average D
NCAAe PPG
Jake Linhart
USHL · 2012-13 · 0.12 PPG
→ Wisconsin (0.18 D1 FR PPG)
0.08 Average D
NCAAe PPG
Anthony Walsh
USHL · 2012-13 · 0.08 PPG
→ Yale (0.07 D1 FR PPG)
0.05 Developing D
NCAAe PPG

D2/3 Comparables

Jared Pedersen
St. Olaf · 2014-15
0.000 No data
actual D2/3 PPG
Tyler Scott
Williams · 2014-15
0.538 Average
actual D2/3 PPG
Peter Magagna
SUNY Oswego · 2000-01
0.926 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.