Teams

SunnyWhale/Jin/Sunnyvale

2026 Tri-Level 4.0 · 4.5

11 players · average NTRP 4.17 / NO. CALIFORNIA

View scouting list →
Schedule4 played
2026-04-18vs SushiFighters/Kim/MoragaLost 12
L#1 DoublesLindsay Huang / Dolores Podesta vs Kristin Ginn / Noa Ramo-Larios3-6, 2-6
W#2 DoublesChristina Ling / Jennifer Jin vs Fenny Widjaja / Alexandra Gunnell6-4, 6-1
L#3 DoublesClaire Gea / Meng-Lun Tsai vs Jennifer Vice / Candace Gee Koo4-6, 1-6
2026-04-18vs Too Much Boba/Chen/SunnyvaleLost 02
L#1 DoublesDolores Podesta / Lindsay Huang vs Nicole YEN / Robin Zhou1-6, 4-6
L#2 DoublesKristine Tan / Christina Ling vs Katherine Wu / Chika Horie3-6, 1-6
2026-04-17vs EarlyBirds/Holm/SunnyvaleLost 12
L#1 DoublesJennifer Jin / Kristine Tan vs Laura Ruben / Cathy Xin1-6, 2-6
L#2 DoublesAnusha Arcalgud / Christina Ling vs Jenny Wang / Daniella Holm2-6, 2-6
W#3 DoublesTien-Hsin Lin / Jiyun Hong vs Yiwen Xie / Rachel Wright6-4, 6-4
W#1 DoublesDolores Podesta / Julie Silveira vs Shelly Bartlett Sweeney / Cynthia Bascara2-6, 7-6, 1-0
W#2 DoublesJennifer Jin / Kristine Tan vs Leora Grimshaw / Jana Chang6-2, 7-5
L#3 DoublesJiyun Hong / Meng-Lun Tsai vs Linda Geballe / Claudia Vlasak4-6, 6-4, 0-1
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 standings12 teams · 4.5
TeamWLInd. WInd. LSets lostGames lost
1Too Much Boba/Chen/Sunnyvale40120158
2Baby Got Backhand/Thomas/San Francisco317510103
3What the heck?/Nicholson/Santa Clara318411101
4EarlyBirds/Holm/Sunnyvale31751185
5Trifecta/Rogers/Santa Rosa31751197
6SushiFighters/Kim/Moraga317512102
7Shoo/Tantiyavarong/Mountain View226612118
8Tri-Angels/Wang/Palo Alto135717127
9SunnyWhale/Jin/Sunnyvale134817127
10Tennismaniac/Steers/Folsom133919123
11Unintended Winners/Tomita/Menlo Park043919123
12Hit Happy/Van Slyke/Pleasanton043920135

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 4.05 estimated across 11 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.

4.40
Dolores Podesta
usually #1 Doubles 100% · published
4.37
Julie Silveira
usually #1 Doubles 100% · published
4.28
Lindsay Huang
usually #1 Doubles 100% · published
4.20
Kristine Tan
usually #2 Doubles 67%, also #1 Doubles 33% · published
4.17
Jennifer Jin
usually #2 Doubles 67%, also #1 Doubles 33% · published
4.13
Anusha Arcalgud
usually #2 Doubles 100% · published 4.5
4.11
Christina Ling
usually #2 Doubles 100% · published 4.5
4.00
Claire Gea
usually #3 Doubles 100% · published 3.5
3.79
Tien-Hsin Lin
usually #3 Doubles 100% · published
3.57
Meng-Lun Tsai
usually #3 Doubles 100% · published
3.49
Jiyun Hong
usually #3 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.

Jennifer Jin + Kristine Tan314 matchesnot enough data
Tien-Hsin Lin + Kristine Tan213 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.

Dolores Podesta
13W–6L career · 3 lines in 2026
<1%76%24%
4.40
Julie Silveira
3W–2L career · 1 line in 2026
<1%83%17%
4.37
Lindsay Huang
3W–4L career · 2 lines in 2026
2%92%6%
4.28
Kristine Tan
18W–19L career · 3 lines in 2026
8%91%2%
4.20
Jennifer Jin
19W–9L career · 3 lines in 2026
11%88%1%
4.17
4.5
Anusha Arcalgud
9W–15L career · 1 line in 2026
17%83%<1%
4.13
4.5
Christina Ling
2W–8L career · 3 lines in 2026
23%77%<1%
4.11
3.5
Claire Gea
17W–7L career · 1 line in 2026
<1%<1%>99%
4.00
Tien-Hsin Lin
19W–17L career · 1 line in 2026
2%91%7%
3.79
Meng-Lun Tsai
4W–5L career · 2 lines in 2026
31%69%<1%
3.57
Jiyun Hong
18W–18L career · 2 lines in 2026
<1%54%46%
3.49

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.