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Nathan King Elite Prospects ↗

Position: Defense DOB: 2004-06-11 Country: Canada
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 Victoria Grizzlies BCHL 23 3 5 8 0.348 0.1296 0.1396 0.5068 0.5458
2022-23 Victoria Grizzlies BCHL 50 11 18 29 0.580 0.2160 0.2220 0.8451 0.8688
2023-24 Victoria Grizzlies BCHL 51 15 23 38 0.745 0.2775 0.2725 1.0857 1.0663
■ 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 Merrimack D1 HockeyEast — 31 5 3 8 0.258
2024-25 Merrimack D1 HockeyEast — 11 0 2 2 0.182
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.18
2024-25 · Merrimack
-23.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
2%
NCAA D2/D3
30%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#5383
Defenseman overall
#1372
Defenseman born in 2004
#1446
in BCHL

D1 Comparables

Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.26 Strong D
NCAAe PPG
Niklas Nevalainen
USHL · 2012-13 · 0.55 PPG
→ St. Cloud State (0.23 D1 FR PPG)
0.32 Average D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.26 Average D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.28 Developing D
NCAAe PPG
Mike McKee
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.05 D1 FR PPG)
0.30 Developing D
NCAAe PPG

D2/3 Comparables

Brody Simko
Trine · 2023-24
1.214 Elite
actual D2/3 PPG
Shane Wheeler
St. Norbert · 2005-06
0.903 Strong
actual D2/3 PPG
Joel Covelli
Colby · 2003-04
1.042 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.