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Landon Johnson Elite Prospects ↗

Position: Defense DOB: 1999-10-28 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
2018-19 — MJHL 26 1 8 9 0.346 0.0666 0.0666 0.2183 0.2182
2019-20 Granite City Lumberjacks NA3HL 39 5 14 19 0.487 0.0611 0.0611 0.1538 0.1538
■ 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
2024-25 Gustavus Adolphus D3 MIAC GR 27 0 6 6 0.222
2023-24 Gustavus Adolphus D3 MIAC SR 20 0 4 4 0.200
2022-23 Gustavus Adolphus D3 MIAC JR 14 0 0 0 0.000
2021-22 Gustavus Adolphus D3 MIAC SO 9 0 0 0 0.000
2020-21 Gustavus Adolphus D1 MIAC FR 2 0 0 0 0.000
2020-21 Gustavus Adolphus D3 MIAC FR 2 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
5%
NCAA D2/D3
22%
Age-Out / Club
52%
Pro / Other

NCAAe Rankings

#16377
Defenseman overall
#2655
Defenseman born in 1999

D1 Comparables

Mike Preston
USHL · 2012-13 · 0.07 PPG
→ Army (0.16 D1 FR PPG)
0.04 Average D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Cliff Watson
USHL · 2012-13 · 0.18 PPG
→ Michigan Tech (0.10 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Eric Schurhamer
USHL · 2012-13 · 0.24 PPG
→ Maine (0.37 D1 FR PPG)
0.14 Strong D
NCAAe PPG

D2/3 Comparables

Colin Bernard
Salve Regina · 2016-17
0.000 No data
actual D2/3 PPG
Émile Tremblay
Westfield State · 2022-23
0.440 Average
actual D2/3 PPG
Pat Twombly
UMass Dartmouth · 2016-17
0.000 No data
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.