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Landon Adams Elite Prospects ↗

Position: Forward DOB: 2004-02-05 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
2021-22 Totino-Grace USHS-MN 25 9 11 20 0.800 0.1013 0.1013 0.1943 0.1943
2022-23 New Jersey 87's EHL 25 5 8 13 0.520 0.1201 0.1261 0.2544 0.2671
2023-24 New Jersey 87's EHL 41 20 23 43 1.049 0.2423 0.2422 0.5132 0.5129
2024-25 New Jersey 87's EHL 33 22 31 53 1.606 0.3710 0.3517 0.7859 0.7450
■ 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 Beloit D3 WIAC FR 23 1 7 8 0.348
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.35
2025-26 · Beloit
+31.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#13921
Forward overall
#643
Forward born in 2004

D1 Comparables

Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Trevor Mingoia
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.47 Developing
NCAAe PPG

D2/3 Comparables

Samuel Lozinski
Albertus Magnus · 2024-25
0.706 Strong
actual D2/3 PPG
Ben Kemp
SUNY Plattsburgh · 2001-02
0.536 Average
actual D2/3 PPG
Matthew Monreal
Southern New Hampshire · 2018-19
0.450 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.