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Lukas Klemm Elite Prospects ↗

Position: Defense DOB: 2004-04-20 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
2020-21 Youngstown Phantoms USHL 3 0 0 0 0.000 — — — —
2021-22 Philadelphia Rebels NAHL 56 8 10 18 0.321 0.1273 0.1389 0.3374 0.3682
2022-23 Nanaimo Clippers BCHL 54 2 9 11 0.204 0.0759 0.0775 0.2968 0.3030
2023-24 Johnstown Tomahawks NAHL 60 11 30 41 0.683 0.2707 0.2692 0.7174 0.7134
2024-25 Johnstown Tomahawks NAHL 58 8 22 30 0.517 0.2049 0.1930 0.5430 0.5115
■ 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 Mercyhurst D1 AHA — 29 1 7 8 0.276
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.28
2025-26 · Mercyhurst
+30.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
8%
NCAA D2/D3
45%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#6873
Defenseman overall
#1687
Defenseman born in 2004

D1 Comparables

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
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG

D2/3 Comparables

Nick Perruccio
Neumann · 2012-13
0.545 Average
actual D2/3 PPG
Jeff Thompson
Connecticut College · 2015-16
0.636 Average
actual D2/3 PPG
Curtis Hammond
St. Norbert · 2021-22
0.577 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.