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Landon Cottingham Elite Prospects ↗

Position: Defense DOB: 2007-04-03 Country: USA
Alaska Fairbanks
Ind. D1

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 Hill-Murray USHS-MN 31 8 13 21 0.677 0.0858 0.0858 0.1645 0.1645
2023-24 Hill-Murray USHS-MN 28 10 20 30 1.071 0.1356 0.1356 0.2601 0.2601
2024-25 — NAHL 22 2 2 4 0.182 0.0668 0.0728 0.1921 0.2093
2025-26 Des Moines Buccaneers USHL 6 0 1 1 0.167 0.0983 0.0980 0.5002 0.4988
2026-27 Minnesota Wilderness NAHL 4 0 1 1 0.250 0.0919 0.0926 0.2642 0.2662
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
18%
NCAA D2/D3
20%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

#12809
Defenseman overall
#1733
Defenseman born in 2007

D1 Comparables

Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.16 Elite D
NCAAe PPG

Alaska Fairbanks Alumni similar profiles who attended this school

Jackson Anderson
USHS-MN 2020-21
0.25
actual FR PPG at Alaska Fairbanks
Nathan Rickey
USHS-MN 2021-22
0.17
actual FR PPG at Alaska Fairbanks
Carson Reed
USHS-MN 2019-20
0.06
actual FR PPG at Alaska Fairbanks
Antti Virtanen
USHL 2017-18
0.18
actual FR PPG at Alaska Fairbanks

D2/3 Comparables

Curtis Harvey
St. Olaf · 2014-15
0.000 No data
actual D2/3 PPG
Adam Moody
Utica · 2012-13
0.000 No data
actual D2/3 PPG
Luke Rivera
Fredonia · 2013-14
0.611 Average
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.