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Ty Brassington Elite Prospects ↗

Position: Defense DOB: 2004-04-14 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
2021-22 Surrey Eagles BCHL 50 1 7 8 0.160 0.0596 0.0637 0.2331 0.2492
2022-23 Surrey Eagles BCHL 46 3 14 17 0.370 0.1377 0.1405 0.5385 0.5493
2023-24 Surrey Eagles BCHL 39 12 15 27 0.692 0.2579 0.2512 1.0088 0.9828
■ 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 Clarkson D1 ECAC SO 38 4 12 16 0.421
2024-25 Clarkson D1 ECAC — 38 2 5 7 0.184
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.18
2024-25 · Clarkson
-5.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
2%
NCAA D2/D3
32%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#8430
Defenseman overall
#1939
Defenseman born in 2004
#2045
in BCHL

D1 Comparables

Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.28 Developing D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.21 Average D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.26 Average D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.26 Strong D
NCAAe PPG

D2/3 Comparables

Derek Hanson
Wisconsin-Stout · 2004-05
1.000 Elite
actual D2/3 PPG
Omar Mullan
Milwaukee School of Engineering · 2012-13
1.286 Elite
actual D2/3 PPG
Andrew Kolb
Wisconsin-Stevens Point · 2009-10
0.875 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.