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Jada Habisch Elite Prospects ↗

Position: Forward DOB: ⚠ Missing — add in admin Country: USA
Signed Professionally
Seattle Torrent · PWHL

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
2016-17 Buffalo High USHS-MN-W 25 14 6 20 0.800 0.1208 0.1208
2017-18 Buffalo High USHS-MN-W 25 33 15 48 1.920 0.2899 0.2899
2018-19 Buffalo High USHS-MN-W 25 24 21 45 1.800 0.2718 0.2718
2019-20 Buffalo High USHS-MN-W 25 27 20 47 1.880 0.2839 0.2839
2025-26 Seattle Torrent PWHL 11 1 0 1 0.091
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
2024-25 UConn D1 HEA-W GR 36 16 6 22 0.611
2023-24 UConn D1 HEA-W SR 38 17 11 28 0.737
2022-23 UConn D1 HEA-W JR 35 13 7 20 0.571
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
Actual FR PPG
0.57
2022-23 · UConn
+139.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
0%
NCAA D2/D3
90%
Club / Other

NCAAe Rankings

#2097
Forward overall

D1 Comparables

USHS-MN-W · 2013-14 · 1.84 PPG
→ Ohio State (0.41 D1 FR PPG)
0.28 Average
NCAAe PPG
USHS-MN-W · 2013-14 · 1.76 PPG
→ Merrimack (0.56 D1 FR PPG)
0.27 Strong
NCAAe PPG
USHS-MN-W · 2012-13 · 1.92 PPG
→ Penn State (0.78 D1 FR PPG)
0.26 Strong
NCAAe PPG
USHS-MN-W · 2013-14 · 1.74 PPG
→ Minnesota State (0.07 D1 FR PPG)
0.26 Developing
NCAAe PPG
USHS-MN-W · 2012-13 · 1.71 PPG
→ Lindenwood (0.17 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Ohio State ·
0.410 Average
actual D2/3 PPG
Merrimack ·
0.559 Average
actual D2/3 PPG
Penn State ·
0.784 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.