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Landon Steffen Elite Prospects ↗

Position: Forward DOB: 2004-10-20 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 Blaine USHS-MN 26 0 0 0 0.000 — — — —
2020-21 Blaine USHS-MN 20 16 13 29 1.450 0.1786 0.1786 0.3522 0.3522
2021-22 Blaine USHS-MN 26 14 13 27 1.038 0.1279 0.1279 0.2523 0.2523
2022-23 Aberdeen Wings NAHL 10 0 1 1 0.100 0.0355 0.0379 0.1050 0.1121
2023-24 New Hampshire Mountain Kings NAHL 21 2 11 13 0.619 0.2199 0.2242 0.6499 0.6626
2024-25 Minnesota Mallards NAHL 21 2 4 6 0.286 0.1015 0.0982 0.3000 0.2901
■ 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 Hamline D3 MIAC — 16 3 0 3 0.188
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.19
2025-26 · Hamline
+47.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
20%
NCAA D2/D3
48%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#29257
Forward overall
#1724
Forward born in 2004

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Jude Kurtas
UMass Boston · 2021-22
0.500 Average
actual D2/3 PPG
Ryan Olson
Finlandia · 2003-04
0.625 Average
actual D2/3 PPG
Johnny Ramoundos
Fredonia · 2022-23
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.