Teams

Sweet Warriors

Adult 18 & Over Spring · 2.5 Women Central - Day NJD

8 players · average NTRP 3.50 / NEW JERSEY

View scouting list →
Schedule4 played
2022-06-10vs SPRING CENTRAL/Nassau Alley CatsLost 12
L#1 DoublesMarion Coleman / Pragya Sahay vs Dana Butunoi / Chloris Li0-6, 3-6
L#1 SinglesAmy Koymen vs Lynne Buchman7-6, 6-7, 0-1
W#2 DoublesFrancesca Corrias / Jennifer Giblin vs Katherine Thomas / Carrie Cowit5-7, 6-4, 1-0
2022-05-27vs CVCCWon 10
W#1 DoublesFrancesca Corrias / Jennifer Giblin vs Alexandra Clark / Janie Barth6-0, 6-2
2022-05-20vs SPRING CENTRAL/Nassau Alley CatsLost 12
L#1 DoublesHeidi Khong / Richa Singh vs Dana Butunoi / Chloris Li0-6, 1-6
W#1 SinglesAmy Koymen vs Yuan Li6-2, 6-3
L#2 DoublesFrancesca Corrias / Jennifer Giblin vs Katherine Thomas / Lori Gotzis2-6, 4-6
2022-04-29vs SPRING CENTRAL/Nassau Alley CatsWon 20
W#1 SinglesAmy Koymen vs Ildiko Szabo-Zitany6-2, 6-3
W#2 DoublesFrancesca Corrias / Jennifer Giblin vs Renee Mancuso / Mary Guilfoyle6-0, 6-3
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 standings2 teams · 2.5 Women Central - Day NJD
TeamWLInd. WInd. LSets lostGames lost
1NATIONAL NJD/VVS Stars073237190
2Sweet Warriors08192143319

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.28 estimated across 4 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.

3.79
Mansour Rismanchi
published
3.67
Amy Koymen
usually #1 Singles 80%, also #2 Doubles 20% · published 4
2.99
Jennifer Giblin
usually #2 Doubles 100% · published
2.67
Francesca Corrias
usually #2 Doubles 50%, also #3 Doubles 33% · published 3
Heidi Khong
usually #1 Doubles 100% · published
Marion Coleman
usually #1 Doubles 100% · published
Pragya Sahay
usually #1 Doubles 100% · published
Richa Singh
usually #1 Doubles 100% · 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.

Francesca Corrias + Jennifer Giblin31040% games+2.3% vs expected
Marion Coleman + Francesca Corrias134 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.

Mansour Rismanchi
78W–71L career · no lines in 2022
1%94%5%
3.79
4
Amy Koymen
109W–70L career · 10 lines in 2022
10%90%1%
3.67
Jennifer Giblin
53W–43L career · 3 lines in 2022
<1%53%47%
2.99
3
Francesca Corrias
56W–93L career · 6 lines in 2022
9%90%1%
2.67
Heidi Khong
0W–1L career · 1 line in 2022
not enough data
Marion Coleman
5W–31L career · 1 line in 2022
not enough data
Pragya Sahay
0W–1L career · 1 line in 2022
not enough data
Richa Singh
3W–5L career · 1 line in 2022
not enough data

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.