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Brandon MacKinnon Elite Prospects ↗

Position: Forward DOB: 1997-02-02 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
2016-17 Aurora Tigers OJHL 42 8 7 15 0.357 0.0998 0.0946 0.2464 0.2337
2017-18 Stouffville Spirit OJHL 24 7 10 17 0.708 0.1979 0.1781 0.4888 0.4400
■ 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
2020-21 Concordia D3 MIAC GR 21 3 5 8 0.381
2020-21 Concordia Wisconsin D3 — JR 21 3 5 8 0.381
2019-20 Concordia D3 MIAC SR 20 2 4 6 0.300
2019-20 Concordia Wisconsin D3 — SO 20 2 4 6 0.300
2018-19 Concordia D3 MIAC JR 23 7 4 11 0.478
2018-19 Concordia Wisconsin D3 — FR 23 7 4 11 0.478
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.48
2018-19 · Concordia
+286.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D1
32%
NCAA D2/D3
57%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#26384
Forward overall
#1152
Forward born in 1997
#2247
in OJHL

D1 Comparables

Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG
Aidan Cavallini
NAHL · 2012-13 · 0.65 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Andrew McCann
SUNY Cortland · 2017-18
0.680 Strong
actual D2/3 PPG
Gavin Bloder
Fredonia · 2023-24
0.750 Strong
actual D2/3 PPG
Brandon Ingraham
Milwaukee School of Engineering · 2007-08
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.