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Brandon Scanlin Elite Prospects ↗

Position: Defense DOB: 1999-06-02 Country: Canada
Signed Professionally

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 — AJHL 58 8 33 41 0.707 0.2371 0.2418 0.6542 0.6671
2018-19 — AJHL 40 16 27 43 1.075 0.3606 0.3502 0.9948 0.9662
■ 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
2021-22 Nebraska Omaha D1 NCHC — 38 6 25 31 0.816
2020-21 Nebraska Omaha D1 NCHC SO 24 2 15 17 0.708
2019-20 Nebraska Omaha D1 NCHC FR 36 3 11 14 0.389
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.39
2019-20 · Nebraska Omaha
+34.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
5%
NCAA D2/D3
15%
Age-Out / Club
45%
Pro / Other

NCAAe Rankings

D1 Comparables

Niklas Nevalainen
USHL · 2012-13 · 0.55 PPG
→ St. Cloud State (0.23 D1 FR PPG)
0.31 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG

D2/3 Comparables

Matt Galati
SUNY Oswego · 2011-12
1.241 Elite
actual D2/3 PPG
Filip Jakobsson
Canton · 2018-19
1.000 Elite
actual D2/3 PPG
JC Humphreys
SUNY Cortland · 2023-24
0.481 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.