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Landen Gunderson Elite Prospects ↗

Position: Forward DOB: 2004-11-28 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
2019-20 Maple Grove USHS-MN 31 3 17 20 0.645 0.0817 0.0817 0.1567 0.1567
2020-21 Maple Grove USHS-MN 23 21 26 47 2.043 0.2587 0.2587 0.4964 0.4964
2021-22 Maple Grove USHS-MN 30 21 59 80 2.667 0.3376 0.3376 — —
2022-23 Madison Capitols USHL 33 1 11 12 0.364 0.2145 0.2207 1.0920 1.1237
2023-24 Green Bay Gamblers USHL 48 5 13 18 0.375 0.2212 0.2166 1.1263 1.1030
2024-25 Sioux City Musketeers USHL 62 28 45 73 1.177 0.6945 0.6447 3.5362 3.2827
■ 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 Ohio State D1 BigTen FR 6 0 1 1 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.41
before college
→
Actual FR PPG
0.17
2025-26 · Ohio State
-58.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

95%
NCAA D1
0%
NCAA D2/D3
5%
Pro / Other

NCAAe Rankings

#7165
Forward overall
#245
Forward born in 2004

D1 Comparables

Kyle Novak
USHL · 2012-13 · 1.20 PPG
→ Western Michigan (0.19 D1 FR PPG)
0.65 Developing
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.53 Elite
NCAAe PPG
Mike Szmatula
USHL · 2012-13 · 1.21 PPG
→ Northeastern (1.05 D1 FR PPG)
0.65 Elite
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.56 Developing
NCAAe PPG

D2/3 Comparables

Neil Trimm
Neumann · 2003-04
1.800 Elite
actual D2/3 PPG
Arkhip Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2018-19
1.448 Elite
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.