Teams

SGanesan (Blakeney)

2026 Singles 18 & Over League · 18 & Over Singles 3.0 Women

9 players · average NTRP 2.80 / NORTH CAROLINA

View scouting list →
Schedule11 played
2026-08-04vs MCBrown (Veterans Park)Lost 12
L#1 SinglesLorena Giraldo vs Paige Cardell2-6, 1-6
L#2 SinglesRadhika Jampani vs Mary Claire Brown1-6, 1-6
W#3 SinglesSridevi Ganesan vs Haley Kuyk6-2, 2-6, 1-0
2026-07-21vs KCronin/JJoliet (Piper Glen)Lost 12
W#1 SinglesAna Carolina Abranches vs Amy DeLaat Marbury6-4, 6-1
L#2 SinglesKinnera Angadi vs Carrie Coulson3-6, 1-6
L#3 SinglesCaitlin Bailey vs Joanne Joliet1-6, 1-6
2026-07-14vs SDeVries (PCC)Won 30
W#1 SinglesLorena Giraldo vs Larissa Soto6-2, 6-2
W#2 SinglesSridevi Ganesan vs Kristin Salina2-6, 6-0, 1-0
W#3 SinglesSandra Dickinson vs Allison Geoghegan6-0, 6-2
2026-07-07vs CArevalo/ZMarenic (Park Road)Lost 02
L#1 SinglesAna Carolina Abranches vs Zahide Marenic3-6, 6-7
L#2 SinglesSridevi Ganesan vs Carla Sweeney3-6, 3-6
2026-06-30vs KWagner (Park Road)Lost 12
W#1 SinglesLorena Giraldo vs Linda Jo Mastrangelo7-5, 7-6
L#2 SinglesSandra Dickinson vs Luz Lim3-6, 6-4, 1-0
L#3 SinglesRadhika Jampani vs Milena Valdes Darias0-6, 6-4, 0-1
2026-06-23vs EAnderson (Queens)Lost 12
L#1 SinglesLorena Giraldo vs Emma SEGAL2-6, 0-6
L#2 SinglesCaitlin Bailey vs Madelynn Bates1-6, 1-6
W#3 SinglesRadhika Jampani vs Katherine Epler3-6, 7-5, 1-0
2026-06-16vs KDavis (Queens)Won 21
L#1 SinglesSridevi Ganesan vs Christina Prejean0-6, 2-6
W#2 SinglesAna Carolina Abranches vs Janette Billings6-2, 6-3
W#3 SinglesKinnera Angadi vs Rebecca Musante2-6, 6-1, 1-0
2026-06-09vs RWright (Queens)Won 21
W#1 SinglesSridevi Ganesan vs Brittani Luoni4-6, 6-1, 1-0
L#2 SinglesSandra Dickinson vs Mary Katherine Hardy1-6, 0-6
W#3 SinglesLorena Giraldo vs Grace Keiffer6-2, 6-1
2026-06-02vs JMugnano (Queens)Lost 03
L#1 SinglesSandra Dickinson vs Krisha Blanchard1-6, 1-6
L#2 SinglesCristiane Carani vs Emily Pansa0-6, 2-6
L#3 SinglesRadhika Jampani vs Jen Mugnano2-6, 4-6
2026-05-29vs DCallinan/KGibson (Raintree)Won 21
L#1 SinglesLorena Giraldo vs Krista Gibson5-7, 3-6
W#2 SinglesSridevi Ganesan vs Lucinda Supernavage6-0, 6-2
W#3 SinglesKinnera Angadi vs Marie LeSaint6-3, 6-2
2026-05-19vs ASu (Life Time)Lost 03
L#1 SinglesShikha Agrawal vs Rongrong Wang0-6, 1-6
L#2 SinglesAna Carolina Abranches vs Anait Balasanyan2-6, 2-6
L#3 SinglesCaitlin Bailey vs Alicia Su0-6, 1-6
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 standings9 teams · 18 & Over Singles 3.0 Women
TeamWLInd. WInd. LSets lostGames lost
1ASu (Life Time)11028512145
2AWilliams (Queens)8119819191
3CArevalo/ZMarenic (Park Road)83201328249
4KCronin/JJoliet (Piper Glen)83191429255
5KWagner (Park Road)65181533262
6RWright (Queens)56141939290
7SGanesan (Blakeney)47132045315
8MCBrown (Veterans Park)38141941294
9KGrier (Park Road)1881942289

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 2.49 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.

2.91
Sridevi Ganesan
usually #2 Singles 50%, also #1 Singles 33% · published 3
2.65
Sandra Dickinson
usually #2 Singles 50%, also #1 Singles 25% · published 3
2.64
Kinnera Angadi
usually #3 Singles 67%, also #2 Singles 33% · published
2.53
Ana Carolina Abranches
usually #2 Singles 50%, also #1 Singles 50% · published 2.5
2.52
Shikha Agrawal
usually #1 Singles 100% · published
2.51
Lorena Giraldo
usually #1 Singles 83%, also #3 Singles 17% · published
2.42
Caitlin Bailey
usually #3 Singles 67%, also #2 Singles 33% · published 3
2.24
Radhika Jampani
usually #3 Singles 75%, also #2 Singles 25% · published
1.98
Cristiane Carani
usually #2 Singles 100% · published 2.5
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.

Ana Carolina Abranches + Lorena Giraldo5256% games+14.5% vs expected
Radhika Jampani + Lorena Giraldo1538% games−0.6% vs expected
Radhika Jampani + Kinnera Angadi3247% gamesnot enough data
Ana Carolina Abranches + Kinnera Angadi303 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
Sridevi Ganesan
63W–47L career · 6 lines in 2026
<1%75%25%
2.91
3
Sandra Dickinson
35W–44L career · 4 lines in 2026
12%88%<1%
2.65
Kinnera Angadi
14W–10L career · 3 lines in 2026
0%13%87%
2.64
2.5
Ana Carolina Abranches
16W–11L career · type S · 4 lines in 2026
0%41%59%
2.53
Shikha Agrawal
6W–15L career · 1 line in 2026
45%55%<1%
2.52
Lorena Giraldo
9W–23L career · 6 lines in 2026
0%47%53%
2.51
3
Caitlin Bailey
0W–3L career · 3 lines in 2026
72%28%<1%
2.42
Radhika Jampani
13W–22L career · 4 lines in 2026
0%98%2%
2.24
2.5
Cristiane Carani
1W–7L career · type S · 1 line in 2026
0%>99%<1%
1.98

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.