Teams

Kau - Honey Deuce 3.0 Singles

2025 Montgomery Singles · Montgomery Singles 3.0 Women

9 players · average NTRP 3.10 / MARYLAND

View scouting list →
Schedule9 played
2025-09-05Won 10
W#1 SinglesPrashila Dullabh vs Beth Gregory6-1, 7-6
2025-08-20vs Nelson - Smash ForceLost 01
L#3 SinglesKyung Haw Sung vs Tanna Nelson3-6, 5-7
2025-08-16vs Smith - Sets In The CityLost 01
L#3 SinglesKyung Haw Sung vs Mugdha Samant6-4, 1-6, 0-1
W#1 SinglesHrachuhi Babayan vs Emily Schabacker6-3
2025-08-03vs Smith - Sets In The CityWon 10
W#1 SinglesPrashila Dullabh vs Lemin Xiao6-1, 6-1
W#1 SinglesBella Bidzhieva vs Laura Feiveson3-6, 6-2, 1-0
2025-07-25vs Nelson - Smash ForceWon 10
W#1 SinglesBella Bidzhieva vs Caroline Storer7-6, 6-2
2025-07-16Won 10
W#2 SinglesHrachuhi Babayan vs Alison Smith5-7, 5-2
W#1 SinglesBella Bidzhieva vs Margaret Cornelius6-1, 3-6, 1-0
W#2 SinglesHrachuhi Babayan vs Anamaria Berea6-2, 6-1
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for Montgomery Singles 3.0 Women have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.04 estimated across 9 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.38
Bella Bidzhieva
usually #1 Singles 67%, also #3 Singles 33% · published 3.5
3.23
Xuan Du
published
3.11
Prashila Dullabh
usually #1 Singles 60%, also #3 Singles 20% · published 3
3.08
Stacey White
published
2.99
Hrachuhi Babayan
usually #2 Singles 67%, also #1 Singles 33% · published 3
2.95
Kyung Haw Sung
usually #3 Singles 100% · published 3
2.91
Angela Sharma
published 3
2.85
Jonaki Bose
published
2.84
Jennifer Spence
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Hrachuhi Babayan + Bella Bidzhieva10750% gamesnot enough data
Jonaki Bose + Jennifer Spence123 matchesnot enough data
Jonaki Bose + Kyung Haw Sung303 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

3.5
Bella Bidzhieva
79W–61L career · 6 lines in 2025
<1%80%20%
3.38
Xuan Du
20W–10L career · no lines in 2025
5%92%3%
3.23
3
Prashila Dullabh
91W–60L career · 5 lines in 2025
<1%21%79%
3.11
Stacey White
17W–12L career · no lines in 2025
<1%28%72%
3.08
3
Hrachuhi Babayan
43W–44L career · 3 lines in 2025
<1%54%46%
2.99
3
Kyung Haw Sung
52W–37L career · 2 lines in 2025
<1%63%37%
2.95
3
Angela Sharma
57W–78L career · no lines in 2025
<1%73%27%
2.91
Jonaki Bose
12W–3L career · no lines in 2025
1%86%13%
2.85
Jennifer Spence
9W–7L career · no lines in 2025
1%86%13%
2.84

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.