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Luke Mountain Elite Prospects ↗

Position: Forward DOB: 2000-02-25 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
2018-19 Maryland Black Bears NAHL 49 18 10 28 0.571 0.2099 0.2165 0.6031 0.6222
2019-20 Maryland Black Bears NAHL 52 9 16 25 0.481 0.1766 0.1766 0.5075 0.5075
2020-21 Maryland Black Bears NAHL 51 17 12 29 0.569 0.2089 0.2089 0.6002 0.6002
■ 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
2024-25 Augsburg D3 MIAC — 15 2 0 2 0.133
2023-24 Augsburg D3 MIAC — 26 3 6 9 0.346
2022-23 Vermont D1 HockeyEast — 13 0 1 1 0.077
2021-22 Vermont D1 HockeyEast — 16 0 2 2 0.125
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.12
2021-22 · Vermont
-32.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
2%
NCAA D2/D3
55%
Pro / Other

NCAAe Rankings

#25717
Forward overall
#1233
Forward born in 2000
#2087
in NAHL

D1 Comparables

Mason Jobst
USHL · 2012-13 · 0.38 PPG
→ Ohio State (0.86 D1 FR PPG)
0.22 Elite
NCAAe PPG
Mackenzie MacEachern
USHL · 2012-13 · 0.42 PPG
→ Michigan State (0.33 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jimmy DeVito
USHL · 2012-13 · 0.35 PPG
→ RPI (0.16 D1 FR PPG)
0.21 Developing
NCAAe PPG
Jeff Kubiak
USHL · 2012-13 · 0.33 PPG
→ Cornell (0.30 D1 FR PPG)
0.19 Developing
NCAAe PPG
Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG

D2/3 Comparables

Devin Panzeca
SUNY Potsdam · 2015-16
0.667 Strong
actual D2/3 PPG
Cadyn Campbell
Saint John's · 2022-23
0.000 No data
actual D2/3 PPG
Dennis Davidson
Tufts · 2023-24
0.522 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.