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Landon Fandel Elite Prospects ↗

Position: Defense DOB: 2005-05-24 Country: USA
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
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
2022-23 Bismarck Bobcats NAHL 42 2 4 6 0.143 0.0566 0.0621 0.1500 0.1645
2023-24 Bismarck Bobcats NAHL 57 12 12 24 0.421 0.1668 0.1750 0.4421 0.4638
2024-25 Tri-City Storm USHL 48 5 3 8 0.167 0.1025 0.0976 0.4911 0.4678
■ 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 Augustana D1 CCHA FR 18 3 2 5 0.278
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.28
2025-26 · Augustana
+128.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
8%
NCAA D2/D3
40%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#15138
Defenseman overall
#2875
Defenseman born in 2005

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.13 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.14 Average D
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)
0.14 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.09 No data
NCAAe PPG

D2/3 Comparables

Trevor Coykendall
Adrian · 2016-17
0.500 Average
actual D2/3 PPG
Matt Lamirande
Wisconsin-Superior · 2004-05
0.381 Average
actual D2/3 PPG
Matt Coleman
Manhattanville · 2010-11
0.929 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.