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David Klee Elite Prospects ↗

Position: Forward DOB: 2005-05-10 Country: USA
2023 NHL Draft Round 7, Pick #196  ·  San Jose Sharks San Jose Sharks
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
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 — USHL 6 0 0 0 0.000 — — — —
2022-23 — USHL 57 3 10 13 0.228 0.1402 0.1474 0.6720 0.7065
2023-24 Muskegon Lumberjacks USHL 62 15 25 40 0.645 0.3966 0.3973 1.9009 1.9040
2024-25 Muskegon Lumberjacks USHL 58 19 26 45 0.776 0.4769 0.4534 2.2860 2.1731
■ 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 North Dakota D1 NCHC FR 24 3 3 6 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.37
before college
→
Actual FR PPG
0.25
2025-26 · North Dakota
-32.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
5%
NCAA D2/D3
12%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#10110
Forward overall
#454
Forward born in 2005
#932
in USHL

D1 Comparables

Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.44 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.43 Developing
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.49 Average
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.45 Developing
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.42 Developing
NCAAe PPG

D2/3 Comparables

Nolan Redler
UMass Boston · 2015-16
1.125 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2003-04
1.704 Elite
actual D2/3 PPG
Jon Whitelaw
SUNY Oswego · 2008-09
1.357 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.