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Mitch Wilkie Elite Prospects ↗

Position: Defense DOB: 2002-02-05 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 Calgary Mustangs AJHL 2 0 0 0 0.000 — — — —
2020-21 Trail Smoke Eaters BCHL 11 0 1 1 0.091 0.0350 0.0350 0.1322 0.1322
2021-22 Weyburn Red Wings SJHL 23 0 2 2 0.087 0.0223 0.0217 0.0655 0.0638
2022-23 Powassan VooDoos NOJHL 52 9 33 42 0.808 0.1376 0.1248 0.3423 0.3105
■ 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 Salem State D3 MASCAC GR 24 3 6 9 0.375
2024-25 Salem State D3 MASCAC SR 26 2 6 8 0.308
2023-24 Salem State D3 MASCAC JR 25 3 2 5 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.20
2023-24 · Salem State
+153.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
12%
NCAA D2/D3
35%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#16630
Defenseman overall
#2971
Defenseman born in 2002

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 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

D2/3 Comparables

Luke Richards
Stonehill · 2021-22
0.000 No data
actual D2/3 PPG
Eric Bertelsen
Elmira · 2023-24
0.304 Developing
actual D2/3 PPG
Nick Minerva
Aurora · 2016-17
0.500 Average
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.