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Reilly McKinnon Elite Prospects ↗

Position: Defense DOB: 2001-05-22 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
2018-19 Penticton Vees BCHL 1 0 0 0 0.000 — — — —
2019-20 Drayton Valley Thunder AJHL 46 2 6 8 0.174 0.0583 0.0583 0.1612 0.1612
2020-21 Drayton Valley Thunder AJHL 1 0 0 0 0.000 — — — —
2021-22 Humboldt Broncos SJHL 56 3 16 19 0.339 0.0869 0.0816 0.2515 0.2360
■ 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 Canton D3 SUNYAC SR 26 0 7 7 0.269
2024-25 Canton D3 SUNYAC JR 24 5 4 9 0.375
2023-24 Canton D3 — SO 25 1 8 9 0.360
2022-23 Canton D3 — FR 25 1 8 9 0.360
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.36
2022-23 · Canton
+367.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
5%
NCAA D2/D3
62%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#19549
Defenseman overall
#2976
Defenseman born in 2001

D1 Comparables

Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 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
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 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

D2/3 Comparables

Tyler Herzberg
Wisconsin-Eau Claire · 2022-23
0.393 Average
actual D2/3 PPG
Matt Connor
Curry · 2021-22
0.690 Strong
actual D2/3 PPG
Brett Wall
Trine · 2024-25
0.000 No data
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.