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Jaden Lipinski Elite Prospects ↗

Position: Forward DOB: 2004-12-02 Country: USA
2023 · Round 4, Pick #112  ·  Calgary Flames Calgary Flames
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 — WHL 68 8 9 17 0.250 0.1216 0.1306 0.6134 0.6586
2022-23 — WHL 66 19 32 51 0.773 0.3759 0.3860 1.8960 1.9471
2023-24 Vancouver Giants WHL 67 24 42 66 0.985 0.4793 0.4686 2.4171 2.3632
2024-25 Vancouver Giants WHL 59 17 41 58 0.983 0.4783 0.4421 2.4122 2.2296
■ 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 Maine D1 HockeyEast FR 30 3 9 12 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.39
before college
→
Actual FR PPG
0.40
2025-26 · Maine
+3.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#7080
Forward overall
#242
Forward born in 2004
#225
in WHL

D1 Comparables

Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.41 Strong
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG
A.J. Reid
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Cole Hepler
Lebanon Valley · 2015-16
1.280 Elite
actual D2/3 PPG
Jon Whitelaw
SUNY Oswego · 2008-09
1.357 Elite
actual D2/3 PPG
Jared Goudreau
Southern New Hampshire · 2014-15
0.833 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.