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Nathan Mackie Elite Prospects ↗

Position: Forward DOB: 2004-06-03 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
2020-21 Salmon Arm Silverbacks BCHL 1 0 0 0 0.000 — — — —
2021-22 Salmon Arm Silverbacks BCHL 45 6 11 17 0.378 0.1407 0.1514 0.5505 0.5923
2022-23 Salmon Arm Silverbacks BCHL 54 27 23 50 0.926 0.3449 0.3542 1.3491 1.3854
2023-24 Salmon Arm Silverbacks BCHL 47 10 12 22 0.468 0.1744 0.1711 0.6821 0.6692
■ 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 Michigan D1 BigTen — 11 0 0 0 0.000
2025-26 Michigan State D1 BigTen SO 11 0 0 0 0.000
2024-25 Michigan D1 BigTen — 9 0 1 1 0.111
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.11
2024-25 · Michigan
-46.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
8%
NCAA D2/D3
40%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#25051
Forward overall
#1410
Forward born in 2004
#1486
in BCHL

D1 Comparables

Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.15 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Mathieu MacMillan
Utica · 2023-24
0.474 Average
actual D2/3 PPG
Austin Marini
Southern Maine · 2018-19
0.000 No data
actual D2/3 PPG
Steve Schroeder
Norwich · 2007-08
0.742 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.