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Brett Bannister Elite Prospects ↗

Position: Forward DOB: 1998-11-11 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
2015-16 Caledon Admirals OJHL 20 3 3 6 0.300 0.0735 0.0795 0.2065 0.2234
2016-17 Toronto Patriots OJHL 49 9 13 22 0.449 0.1100 0.1141 0.3091 0.3205
2017-18 Toronto Patriots OJHL 53 21 39 60 1.132 0.2775 0.2744 0.7795 0.7707
2018-19 — OJHL 59 32 36 68 1.153 0.2825 0.2655 0.7935 0.7457
■ 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
2019-20 Canton D1 SUNYAC FR 24 7 4 11 0.458
2019-20 Canton D3 SUNYAC FR 24 7 4 11 0.458
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.46
2019-20 · Canton
+99.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
5%
NCAA D2/D3
45%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#16517
Forward overall
#766
Forward born in 1998
#560
in OJHL

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

Zach Smith
Neumann · 2021-22
0.962 Strong
actual D2/3 PPG
George Thurston
Southern New Hampshire · 2017-18
0.909 Strong
actual D2/3 PPG
Tanner Hartman
Hobart · 2021-22
0.655 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.