Teams

SushiFighters/Kim/Moraga

2026 Tri-Level 4.0 · 4.5

11 players · average NTRP 4.25 / NO. CALIFORNIA

View scouting list →
Schedule4 played
2026-04-18vs SunnyWhale/Jin/SunnyvaleWon 21
W#1 DoublesKristin Ginn / Noa Ramo-Larios vs Lindsay Huang / Dolores Podesta6-3, 6-2
L#2 DoublesFenny Widjaja / Alexandra Gunnell vs Christina Ling / Jennifer Jin4-6, 1-6
W#3 DoublesJennifer Vice / Candace Gee Koo vs Claire Gea / Meng-Lun Tsai6-4, 6-1
L#1 DoublesStephanie Tolosa / Kristin Ginn vs Stephanie Alexander / Cristina Tudor4-6, 2-6
W#2 DoublesAlexandra Gunnell / Fenny Widjaja vs Emily Parento / Elizabeth Shalev6-4, 4-6, 1-0
W#3 DoublesJanell Mollenhauer / Angela Merola vs Maddie Thomas / Margaret Harrison6-2, 7-6
2026-04-17vs Tennismaniac/Steers/FolsomWon 21
W#1 DoublesStephanie Tolosa / Noa Ramo-Larios vs Keri Mills / Michelle Chapple6-3, 2-6, 1-0
L#2 DoublesJessica Kim / Chandra Thomas vs Kimberly Lewis / Daisy Lewis6-4, 4-6, 0-1
W#3 DoublesAngela Merola / Janell Mollenhauer vs Lanie Steers / Jennifer Mattos6-3, 6-0
L#1 DoublesStephanie Tolosa / Noa Ramo-Larios vs Elena Pan / Katharine Dicconson1-6, 1-6
L#2 DoublesChandra Thomas / Jessica Kim vs Adeeti Ullal / Elaine Smith3-6, 4-6
W#3 DoublesCandace Gee Koo / Jennifer Vice vs Karissa Watanabe / Kristen Wong6-4, 6-4
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 4.14 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.

4.41
Stephanie Tolosa
usually #1 Doubles 100% · published
4.31
Noa Ramo-Larios
usually #1 Doubles 100% · published
4.29
Chandra Thomas
usually #2 Doubles 100% · published 4.5
4.25
Kristin Ginn
usually #1 Doubles 100% · published
4.25
Jessica Kim
usually #2 Doubles 100% · published
4.19
Fenny Widjaja
usually #2 Doubles 100% · published
4.12
Alexandra Gunnell
usually #2 Doubles 100% · published 4.5
3.99
Candace Gee Koo
usually #3 Doubles 100% · published 4
3.96
Jennifer Vice
usually #3 Doubles 100% · published
3.92
Angela Merola
published 4
3.89
Janell Mollenhauer
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.

Angela Merola + Janell Mollenhauer5167% games+12.4% vs expected
Jessica Kim + Chandra Thomas6357% games+5.0% vs expected
Stephanie Tolosa + Noa Ramo-Larios4256% games+4.1% vs expected
Jennifer Vice + Candace Gee Koo8168% games+4.0% vs expected
Chandra Thomas + Noa Ramo-Larios3346% games+3.8% vs expected
Alexandra Gunnell + Fenny Widjaja6550% games−3.9% vs expected
Jessica Kim + Angela Merola213 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.

Stephanie Tolosa
7W–4L career · 3 lines in 2026
<1%75%25%
4.41
Noa Ramo-Larios
17W–13L career · 3 lines in 2026
1%90%9%
4.31
4.5
Chandra Thomas
27W–14L career · type A · 2 lines in 2026
2%91%7%
4.29
Kristin Ginn
5W–10L career · 2 lines in 2026
4%93%3%
4.25
Jessica Kim
32W–15L career · 2 lines in 2026
4%93%3%
4.25
Fenny Widjaja
23W–27L career · 2 lines in 2026
9%90%1%
4.19
4.5
Alexandra Gunnell
29W–16L career · 2 lines in 2026
20%80%<1%
4.12
4
Candace Gee Koo
33W–17L career · 2 lines in 2026
<1%54%46%
3.99
Jennifer Vice
15W–3L career · 2 lines in 2026
<1%61%39%
3.96
4
Angela Merola
46W–18L career · no lines in 2026
<1%71%28%
3.92
Janell Mollenhauer
22W–20L career · 2 lines in 2026
<1%78%22%
3.89

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.