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Easton Inglis Elite Prospects ↗

Position: Forward DOB: 2003-08-01 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 Calgary Canucks AJHL 53 6 7 13 0.245 0.0823 0.0851 0.2273 0.2349
2022-23 Calgary Canucks AJHL 48 1 5 6 0.125 0.0419 0.0412 0.1158 0.1140
2023-24 Kindersley Klippers SJHL 49 11 13 24 0.490 0.1255 0.1193 0.3630 0.3451
■ 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 Wisconsin-Eau Claire D3 WIAC SO 26 8 10 18 0.692
2024-25 Alvernia D3 MAC — 25 7 10 17 0.680
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.68
2024-25 · Alvernia
+801.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
22%
NCAA D2/D3
42%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#46675
Forward overall
#3081
Forward born in 2003
#1919
in AJHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Cam Symons
SUNY Oswego · 2022-23
0.444 Average
actual D2/3 PPG
Justin Scott
Finlandia · 2010-11
0.786 Strong
actual D2/3 PPG
Brian Lange
Bryn Athyn · 2017-18
0.273 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.