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Nathan Rickey Elite Prospects ↗

Position: Defense DOB: 2003-11-20 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 Gentry Academy USHS-MN 18 2 15 17 0.944 0.1164 0.1164 0.2294 0.2294
2021-22 Gentry Academy USHS-MN 27 4 15 19 0.704 0.0867 0.0867 0.1709 0.1709
2022-23 Grande Prairie Storm AJHL 59 4 20 24 0.407 0.1364 0.1363 0.3770 0.3767
2023-24 Oklahoma Warriors NAHL 60 8 27 35 0.583 0.2072 0.2017 0.6124 0.5963
■ 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 Alaska Fairbanks D1 WCHA SO 33 3 13 16 0.485
2024-25 Alaska Fairbanks D1 — — 24 1 3 4 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.17
2024-25 · Alaska Fairbanks
0.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

60%
NCAA D1
2%
NCAA D2/D3
35%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#7211
Defenseman overall
#1707
Defenseman born in 2003

D1 Comparables

Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG

D2/3 Comparables

Payton Baldillez
Norwich · 2013-14
0.417 Average
actual D2/3 PPG
Bradley Tierney
Milwaukee School of Engineering · 2008-09
0.963 Strong
actual D2/3 PPG
Gage Dill
Curry · 2021-22
1.000 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.