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Landon Fleming Elite Prospects ↗

Position: Defense DOB: 2004-02-24 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
2020-21 Janesville Jets NAHL 1 1 1 2 2.000 0.7924 0.7924 2.0998 2.0998
2021-22 Madison Capitols USHL 40 0 2 2 0.050 0.0307 0.0320 0.1473 0.1536
2022-23 Bismarck Bobcats NAHL 42 1 5 6 0.143 0.0566 0.0586 0.1500 0.1552
2023-24 Oklahoma Warriors NAHL 56 6 6 12 0.214 0.0849 0.0838 0.2250 0.2220
2024-25 — NAHL 53 8 11 19 0.358 0.1420 0.1327 0.3764 0.3517
■ 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 St. Norbert D3 NCHA FR 21 0 8 8 0.381
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.38
2025-26 · St. Norbert
+256.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
10%
NCAA D2/D3
55%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#16343
Defenseman overall
#3076
Defenseman born in 2004
#5207
in NAHL

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota (0.06 D1 FR PPG)
0.05 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

TJ Christensen
Bethel · 2011-12
0.000 No data
actual D2/3 PPG
Gene Falsetto
Elmira · 2006-07
0.286 Developing
actual D2/3 PPG
Lane Boswell
Marian · 2007-08
0.643 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.