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Nate Misskey Elite Prospects ↗

Position: Defense DOB: 2005-01-12 Country: Canada
2024 · Round 5, Pick #143  ·  San Jose Sharks San Jose Sharks
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 — WHL 7 0 0 0 0.000 — — — —
2022-23 — WHL 65 5 9 14 0.215 0.1048 0.1082 0.5285 0.5457
2023-24 Victoria Royals WHL 44 7 27 34 0.773 0.3759 0.3696 1.8960 1.8644
2024-25 Victoria Royals WHL 63 10 37 47 0.746 0.3629 0.3375 1.8305 1.7022
■ 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 UMass Lowell D1 HockeyEast FR 35 4 6 10 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.29
2025-26 · UMass Lowell
-13.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
0%
NCAA D2/D3
18%
Age-Out / Club
52%
Pro / Other

NCAAe Rankings

#3065
Defenseman overall
#789
Defenseman born in 2005
#563
in WHL

D1 Comparables

Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG

D2/3 Comparables

Connor Powell
Elmira · 2015-16
1.080 Elite
actual D2/3 PPG
Michael Leone
Utica · 2007-08
1.462 Elite
actual D2/3 PPG
Mario Paganini
Franklin Pierce · 2023-24
0.552 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.