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Ty Halaburda Elite Prospects ↗

Position: Forward DOB: 2005-04-22 Country: Canada
Colorado College
NCHC D1

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 Vancouver Giants WHL 45 5 11 16 0.356 0.1730 0.1891 0.8725 0.9536
2022-23 Vancouver Giants WHL 66 21 16 37 0.561 0.2727 0.2853 1.3755 1.4391
2023-24 Vancouver Giants WHL 68 21 45 66 0.971 0.4722 0.4708 2.3816 2.3745
2024-25 Vancouver Giants WHL 64 29 33 62 0.969 0.4713 0.4447 2.3771 2.2430
2025-26 Kelowna Rockets WHL 72 29 35 64 0.889 0.4324 0.3880 2.1811 1.9570
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
2%
NCAA D2/D3
18%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#7139
Forward overall
#249
Forward born in 2005
#228
in WHL

D1 Comparables

Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
T.J. Sarcona
NAHL · 2012-13 · 1.06 PPG
→ Niagara (0.58 D1 FR PPG)
0.36 Strong
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG

Colorado College Alumni similar profiles who attended this school

Matthew Gleason
USHS-MN 2019-20
0.14
actual FR PPG at Colorado College
Patrick Cozzi
BCHL 2018-19
0.12
actual FR PPG at Colorado College
Sam Renlund
USHL 2020-21
0.19
actual FR PPG at Colorado College
Marc Pasemko
AJHL 2019-20
0.00
actual FR PPG at Colorado College

D2/3 Comparables

Jake McAlpine
Wisconsin-Stout · 2022-23
0.542 Average
actual D2/3 PPG
Dylan Clarke
SUNY Plattsburgh · 2006-07
1.267 Elite
actual D2/3 PPG
Lee Stubbs
Manhattanville · 2000-01
1.115 Elite
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.