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Nathan Pilling Elite Prospects ↗

Position: Forward DOB: 2004-06-22 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
2021-22 Moose Jaw Warriors WHL 54 5 9 14 0.259 0.1261 0.1326 0.6354 0.6680
2022-23 — WHL 35 10 3 13 0.371 0.1807 0.1815 0.9100 0.9142
2023-24 Edmonton Oil Kings WHL 56 18 14 32 0.571 0.2780 0.2656 1.4001 1.3377
2024-25 Seattle Thunderbirds WHL 61 34 26 60 0.984 0.4785 0.4316 2.4101 2.1738
■ 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 St. Thomas D1 CCHA FR 38 15 14 29 0.763
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.31
before college
→
Actual FR PPG
0.76
2025-26 · St. Thomas
+144.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
0%
NCAA D2/D3
60%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#11862
Forward overall
#520
Forward born in 2004
#644
in WHL

D1 Comparables

Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.50 Developing
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota (0.15 D1 FR PPG)
0.51 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.52 Average
NCAAe PPG
Tim Bonner
USHL · 2012-13 · 0.89 PPG
→ Yale
0.50 No data
NCAAe PPG

D2/3 Comparables

Jon Whitelaw
SUNY Oswego · 2008-09
1.357 Elite
actual D2/3 PPG
Cole Hepler
Lebanon Valley · 2015-16
1.280 Elite
actual D2/3 PPG
Brett Gravelle
St. Thomas · 2015-16
0.923 Strong
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.