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Ty Hipkin Elite Prospects ↗

Position: Forward DOB: 2003-06-21 Country: Canada
No commitment set

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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 Fort McMurray Oil Barons AJHL 51 12 18 30 0.588 0.1952 0.2007 0.5451 0.5604
2022-23 Calgary Canucks AJHL 56 21 19 40 0.714 0.2370 0.2319 0.6620 0.6478
2023-24 Calgary Canucks AJHL 50 25 27 52 1.040 0.3451 0.3214 0.9639 0.8977
■ 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 Lindenwood D1 CCHA SO 17 1 2 3 0.176
2024-25 Lindenwood D1 CCHA — 28 4 3 7 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.25
2024-25 · Lindenwood
+2.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
10%
NCAA D2/D3
50%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#18035
Forward overall
#915
Forward born in 2003
#473
in AJHL

D1 Comparables

Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG

D2/3 Comparables

Andrew Romano
SUNY Geneseo · 2015-16
0.963 Strong
actual D2/3 PPG
Beau Orser
SUNY Oswego · 2012-13
0.714 Strong
actual D2/3 PPG
Chris Duszynski
Norwich · 2009-10
0.731 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.