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Carter Wilkie Elite Prospects ↗

Position: Forward DOB: 2000-04-03 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
2017-18 Calgary Mustangs AJHL 5 0 2 2 0.400 0.1342 0.1425 0.3702 0.3930
2018-19 Chilliwack Chiefs BCHL 53 12 24 36 0.679 0.2617 0.2664 0.9884 1.0063
2019-20 — BCHL 54 12 21 33 0.611 0.2355 0.2355 0.8893 0.8893
2020-21 West Kelowna Warriors BCHL 20 11 7 18 0.900 0.3468 0.3468 1.3098 1.3098
■ 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
2024-25 North Dakota D1 NCHC — 38 9 9 18 0.474
2023-24 RIT D1 AHA GR 40 16 25 41 1.025
2022-23 RIT D1 AHA SR 39 14 26 40 1.026
2021-22 RIT D1 AHA JR 38 13 17 30 0.789
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.79
2021-22 · RIT
+325.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
2%
NCAA D2/D3
50%
Pro / Other

NCAAe Rankings

#17796
Forward overall
#795
Forward born in 2000

D1 Comparables

Brian Morgan
USHL · 2012-13 · 0.53 PPG
→ Maine (0.35 D1 FR PPG)
0.31 Average
NCAAe PPG
Jack Rowe
USHL · 2012-13 · 0.53 PPG
→ Arizona State (0.21 D1 FR PPG)
0.31 Developing
NCAAe PPG
Max Coatta
USHL · 2012-13 · 0.50 PPG
→ Minnesota State (0.36 D1 FR PPG)
0.29 Average
NCAAe PPG
Mackenzie MacEachern
USHL · 2012-13 · 0.42 PPG
→ Michigan State (0.33 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jimmy DeVito
USHL · 2012-13 · 0.35 PPG
→ RPI (0.16 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Max Resnick
Tufts · 2020-21
0.720 Strong
actual D2/3 PPG
Hayden Johnson
Lawrence · 2021-22
0.364 Average
actual D2/3 PPG
Graham Harris
Augsburg · 2020-21
0.880 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.