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Nathan Oickle Elite Prospects ↗

Position: Defense DOB: 2003-02-05 Country: Canada
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
2018-19 Lindsay Muskies OJHL 3 0 0 0 0.000 — — — —
2019-20 Cobourg Cougars OJHL 3 0 0 0 0.000 — — — —
2021-22 Trenton Golden Hawks OJHL 54 10 28 38 0.704 0.2114 0.2126 0.4817 0.4845
2022-23 Trenton Golden Hawks OJHL 47 7 34 41 0.872 0.2620 0.2501 0.5971 0.5700
2023-24 Surrey Eagles BCHL 48 9 22 31 0.646 0.2406 0.2201 0.9410 0.8608
■ 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 Niagara D1 AHA SO 34 2 12 14 0.412
2024-25 Niagara D1 AHA — 37 3 6 9 0.243
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.24
2024-25 · Niagara
+11.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
5%
NCAA D2/D3
55%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#4699
Defenseman overall
#1200
Defenseman born in 2003

D1 Comparables

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

D2/3 Comparables

Mitchell Parsons
SUNY Brockport · 2017-18
0.577 Average
actual D2/3 PPG
Henry McKinney
Nazareth · 2018-19
0.536 Average
actual D2/3 PPG
Mike McPherson
Plymouth State · 2017-18
0.333 Developing
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.