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Dorottya Gengeliczky Elite Prospects ↗

Position: Defense DOB: 2004-03-15 Country: Hungary
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
2021-22 OHA Mavericks Tardiff U22 OWHL-U22 24 1 7 8 0.333 0.1167 0.1167 — —
2022-23 OHA Mavericks Tardiff U22 OWHL-U22 65 3 15 18 0.277 0.0970 0.0970 — —
■ 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 Trine D3 — — 27 2 7 9 0.333
2024-25 Trine D3 — — 21 2 3 5 0.238
2023-24 Trine D3 — — 27 0 10 10 0.370
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.37
2023-24 · Trine
+273.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#2673
Defenseman overall
#371
Defenseman born in 2004
#529
in OWHL-U22

D1 Comparables

Cheyenne Harris
USHS-MN-W · 2012-13 · 0.64 PPG
→ Union (0.32 D1 FR PPG)
0.10 Strong D
NCAAe PPG
Taylor Turnquist
USHS-MN-W · 2012-13 · 0.64 PPG
→ Clarkson (0.17 D1 FR PPG)
0.10 Average D
NCAAe PPG
Briana Jorde
USHS-MN-W · 2012-13 · 0.68 PPG
→ Bemidji State (0.08 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Amanda Kimmerle
USHS-MN-W · 2012-13 · 0.60 PPG
→ RPI (0.06 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Megan Hinze
USHS-MN-W · 2012-13 · 0.60 PPG
→ Minnesota State (0.18 D1 FR PPG)
0.09 Average D
NCAAe PPG

D2/3 Comparables

Cheyenne Harris
Union ·
0.324 Average D
actual D2/3 PPG
Taylor Turnquist
Clarkson ·
0.171 Developing D
actual D2/3 PPG
Briana Jorde
Bemidji State ·
0.077 Developing 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.