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Landon Parker Elite Prospects ↗

Position: Forward DOB: 2002-09-20 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
2018-19 Sioux City Musketeers USHL 2 0 0 0 0.000 — — — —
2019-20 East Grand Forks USHS-MN 27 24 28 52 1.926 0.2373 0.2373 — —
2020-21 Minnesota Wilderness NAHL 6 0 2 2 0.333 0.1184 0.1184 0.3499 0.3499
2021-22 Wenatchee Wild BCHL 45 9 11 20 0.444 0.1712 0.1696 0.6475 0.6415
2022-23 Aberdeen Wings NAHL 49 13 16 29 0.592 0.2102 0.2024 0.6213 0.5984
■ 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 Augsburg D3 MIAC GR 15 9 11 20 1.333
2024-25 Augsburg D3 MIAC SR 25 10 8 18 0.720
2023-24 Augsburg D3 MIAC JR 26 6 12 18 0.692
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.69
2023-24 · Augsburg
+327.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
18%
NCAA D2/D3
45%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#16641
Forward overall
#887
Forward born in 2002

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.34 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.35 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG

D2/3 Comparables

Trevor Bayda
St. Norbert · 2002-03
0.467 Average
actual D2/3 PPG
Chris Santiago
Utica · 2009-10
0.769 Strong
actual D2/3 PPG
Matt Anastasio
SUNY Brockport · 2021-22
0.533 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.