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Luke Mackenzie Elite Prospects ↗

Position: Forward DOB: 2006-08-14 Country: Canada
⚠️ Aging Out 2026-27: Turns 20 before Dec 31, 2026 — final eligible junior season.
Canisius
AHA D1

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
2022-23 Virden Oil Capitals MJHL 1 0 0 0 0.000 — — — —
2023-24 — MJHL 45 9 12 21 0.467 0.0898 0.0981 0.2943 0.3213
2024-25 Niverville Nighthawks MJHL 57 6 14 20 0.351 0.0675 0.0700 0.2213 0.2295
2025-26 Melfort Mustangs SJHL 40 6 11 17 0.425 0.1089 0.1085 0.3204 0.3193
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
8%
NCAA D2/D3
38%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#43088
Forward overall
#2621
Forward born in 2006

D1 Comparables

Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG

Canisius Alumni similar profiles who attended this school

Matteo Giampa
NE-Prep 2019-20
0.97
actual FR PPG at Canisius
Carter Anderson
WHL 2023-24
0.52
actual FR PPG at Canisius
Connor Zilisch
NAHL 2018-19
0.00
actual FR PPG at Canisius
Jackson Nieuwendyk
BCHL 2021-22
0.21
actual FR PPG at Canisius

D2/3 Comparables

Dennis Kubat
St. Scholastica · 2006-07
0.286 Developing
actual D2/3 PPG
Hunter Laslo
SUNY Brockport · 2014-15
0.304 Developing
actual D2/3 PPG
Ryan Lambert
Framingham State · 2018-19
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.