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Landon MacDonald Elite Prospects ↗

Position: Forward DOB: 2004-08-12 Country: USA
No commitment set

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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
2021-22 Muskegon Lumberjacks USHL 11 1 1 2 0.182 0.1118 0.1192 0.5356 0.5711
2022-23 Houston Bulls NAHL 35 3 2 5 0.143 0.0566 0.0599 0.1500 0.1587
2023-24 — NAHL 51 6 11 17 0.333 0.1321 0.1334 0.3499 0.3534
2024-25 Madison Capitols USHL 26 3 6 9 0.346 0.2128 0.1944 1.0200 0.9318
■ 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 Northern Michigan D1 CCHA FR 21 2 0 2 0.095
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.10
2025-26 · Northern Michigan
-34.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
28%
NCAA D2/D3
50%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#25860
Forward overall
#1461
Forward born in 2004
#2538
in USHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG

D2/3 Comparables

Tio D'Addario
SUNY Plattsburgh · 2022-23
0.778 Strong
actual D2/3 PPG
Taurin Haddon-Harris
Curry · 2021-22
0.455 Average
actual D2/3 PPG
Ross Enmark
Curry · 2005-06
1.308 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.