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Mkyllan Couture Elite Prospects ↗

Position: Defense DOB: 2001-09-05 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
2017-18 Weyburn Red Wings SJHL 1 0 0 0 0.000 — — — —
2018-19 Weyburn Red Wings SJHL 45 0 2 2 0.044 0.0114 0.0126 0.0335 0.0370
2019-20 — SJHL 46 1 6 7 0.152 0.0390 0.0390 0.1147 0.1147
2020-21 Nipawin Hawks SJHL 4 0 2 2 0.500 0.1281 0.1281 0.3769 0.3769
2021-22 — SJHL 38 5 12 17 0.447 0.1146 0.1092 0.3373 0.3215
■ 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
2023-24 Anna Maria D3 MASCAC — 10 0 1 1 0.100
2022-23 Anna Maria D3 MASCAC — 24 2 1 3 0.125
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.12
2022-23 · Anna Maria
+87.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
25%
NCAA D2/D3
30%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#20471
Defenseman overall
#3065
Defenseman born in 2001
#1741
in SJHL

D1 Comparables

William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 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

Brodie Jamieson
Marian · 2012-13
0.518 Average
actual D2/3 PPG
David Becker
Bethel · 2014-15
0.286 Developing
actual D2/3 PPG
Joe Perry
St. Norbert · 2009-10
0.429 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.