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Jenessa Gazdik Elite Prospects ↗

Position: Defense DOB: 2004-10-19 Country: USA
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
2020-21 Gentry Academy (women) USHS-MN-W 22 9 20 29 1.318 0.2117 0.2117 — —
2021-22 Gentry Academy (women) USHS-MN-W 31 12 18 30 0.968 0.1554 0.1554 — —
2022-23 Gentry Academy (women) USHS-MN-W 29 21 28 49 1.690 0.2714 0.2714 — —
■ 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 St. Thomas D1 CHA-W JR 36 2 12 14 0.389
2024-25 Minnesota D1 WCHA-W — 37 1 11 12 0.324
2024-25 Minnesota State D1 CHA-W SO 37 1 11 12 0.324
2023-24 Minnesota D1 WCHA-W — 33 3 4 7 0.212
2023-24 Minnesota State D1 CHA-W FR 33 3 4 7 0.212
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.21
2023-24 · Minnesota
-0.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#733
Defenseman overall
#144
Defenseman born in 2004
#475
in USHS-MN-W

D1 Comparables

Anna Kilponen
SMLIIGA-W · 2012-13 · 0.79 PPG
→ North Dakota (0.26 D1 FR PPG)
0.30 Average D
NCAAe PPG
Dani Sadek
USHS-MN-W · 2012-13 · 1.46 PPG
→ Ohio State (0.61 D1 FR PPG)
0.23 Elite D
NCAAe PPG
Christa Vuglar
USHS-W · 2013-14 · 1.00 PPG
→ RIT (0.21 D1 FR PPG)
0.26 Average D
NCAAe PPG
Lauren Kelly
NE-Prep-Girls · 2012-13 · 0.73 PPG
→ Dartmouth (0.21 D1 FR PPG)
0.34 Average D
NCAAe PPG
Taylor Marchin
NE-Prep-Girls · 2012-13 · 0.77 PPG
→ Yale (0.21 D1 FR PPG)
0.35 Average D
NCAAe PPG

D2/3 Comparables

Anna Kilponen
North Dakota ·
0.257 Average D
actual D2/3 PPG
Dani Sadek
Ohio State ·
0.611 Strong D
actual D2/3 PPG
Christa Vuglar
RIT ·
0.205 Average D
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.