Teams

SUNNYVALE MTC 18MX9.0C

2026 MIXED 18&Over · 18&Over MX9.0

21 players · average NTRP 4.25 / NO. CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule9 played
2026-03-08Won 20
W#1 DoublesSruthi Subramanyan / Vignesh Subramanyan vs Kevin Margo / Lily Huang6-4, 6-2
W#2 DoublesJoyce Chou / HsiaoTing Ko vs Shelly Wallace / Jay Saddler6-2, 6-3
2026-03-01Won 10
W#3 DoublesNikhil Pandit / Jiayi Shen vs Manasa Gadde / Jonathan Trinh4-6, 6-2, 1-0
2026-02-26Won 10
W#2 DoublesJason Ah Chuen Jahchuen / Nicole Schnabel vs Juan Castillo / Daniella Holm7-5, 7-5
2026-02-21vs SUNNYVALE MTC 18MX9.0BLost 01
L#1 DoublesHsiaoTing Ko / Chunguang He vs Daniela Leal / Edwin Pham1-6, 1-6
2026-02-14Won 10
W#3 DoublesSruthi Subramanyan / Vignesh Subramanyan vs May Chee / Juan Castillo6-2, 6-1
2026-02-06Won 10
W#2 DoublesNicole Schnabel / Jason Ah Chuen Jahchuen vs Juan Castillo / Anusha Arcalgud7-6, 6-7, 1-0
2026-01-24vs BAY CLUB SANTA CLARA 18MX9.0AWon 30
W#1 DoublesNikhil Pandit / Jiayi Shen vs Philipp Wehn / Renata Quintini6-3, 6-1
W#2 DoublesNicole Schnabel / Kenny Gea vs Ranjit Narayanan / Adlina Paramarta6-4, 2-6, 1-0
W#3 DoublesHsiaoTing Ko / Joyce Chou vs Jay Saddler / Sueyin Wong6-4, 6-1
2026-01-21Won 10
W#2 DoublesSruthi Subramanyan / Vignesh Subramanyan vs Deepak Srikanth / Yui Tantiyavarong6-2, 7-6
2026-01-12Split 11
W#1 DoublesNikhil Pandit / Chunguang He vs Catherine Puzon / Joshua Kaye7-5, 6-1
L#3 DoublesHsiaoTing Ko / Nicole Schnabel vs Maiko Yano / Jeffrey Huang3-6, 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 standings27 teams · 18&Over MX9.0
TeamWLInd. WInd. LSets lostGames lost
1GOLDMAN TC 18MX9.0A10027311185
2RINCONADA PK 18MX9.0A9123716217
3SAN PABLO PK 18MX9.0A9124619193
4SUNNYVALE MTC 18MX9.0B9122821214
5SUNNYVALE MTC 18MX9.0C8224618225
6PLEASANTON 18MX9.0A82201027266
7SEASCAPE SC 18MX9.0A8221928251
8JOHNSON RANCH 18MX9.0A73181226258
9ALMADEN SR 18MX9.0A73181231293
10ST MARY 18MX9.0A73191131265
11SHELDON PK 18MX9.0A64201025237
12BAY TREES PK 18MX9.0A64181227232
13RIO DEL ORO 18MX9.0A64131740315
14FREMONT TC 18MX9.0A46131738296
15LOS GATOS SR 18MX9.0A46131741304
16BAY CLUB SANTA CLARA 18MX9.0A46121841293
17SUNNYVALE TC/SUNNYVALE MTC 18MX9.0A46111942278
18MENLO ATHERTON HS 18MX9.0A37131741321
19CUESTA TC 18MX9.0A3792143307
20WALNUT CREEK RC/Walnut Creek TC 18MX9.0A37111944311
21OLYMPIC 18MX9.0A2561531202
22PLEASANTON 18MX9.0B2892142310
23BAY CLUB COURTSIDE 18MX9.0A1982245304
24GOLD RIVER RC 18MX9.0A1992147321
25SAN PABLO PK 18MX9.0B1962450330
26MARIN TC 18MX9.0A0731837228
27PINEWOOD PK 18MX9.0A01062451328

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 4.31 estimated across 17 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.

4.77
Nikhil Pandit
usually #1 Doubles 67%, also #3 Doubles 33% · published
4.73
Vignesh Subramanyan
usually #1 Doubles 33%, also #2 Doubles 33% · published
4.68
Joyce Chou
usually #1 Doubles 50%, also #2 Doubles 33% · published
4.68
Timothy Tan
usually #2 Doubles 50%, also #1 Doubles 25% · published
4.62
Kenny Gea
usually #2 Doubles 57%, also #1 Doubles 43% · published
4.52
Alexander Loh
usually #2 Doubles 50%, also #1 Doubles 50% · published 4.5
4.43
Qingqing Zong
published
4.38
Nicole Schnabel
usually #2 Doubles 75%, also #3 Doubles 25% · published
4.37
Jerry Liang
usually #3 Doubles 67%, also #2 Doubles 33% · published
4.27
Jason Ah Chuen Jahchuen
usually #2 Doubles 50%, also #3 Doubles 33% · published
4.14
Kehan Li
usually #1 Doubles 50%, also #3 Doubles 33% · published
4.13
HsiaoTing Ko
usually #3 Doubles 50%, also #1 Doubles 25% · published
4.11
Jiayi Shen
usually #3 Doubles 44%, also #1 Doubles 33% · published
4.05
Tina Baykaner
usually #2 Doubles 40%, also #1 Doubles 30% · published
3.97
Chunguang He
usually #3 Doubles 60%, also #1 Doubles 30% · published 4
3.82
Kristen Wong
usually #1 Doubles 89%, also #2 Doubles 11% · published
3.64
JZ Zhong
usually #1 Doubles 33%, also #3 Doubles 33% · published
Dylan Zhou
usually #2 Doubles 50%, also #3 Doubles 50% · published
Garrett Chun
usually #1 Doubles 100% · published
Helen Jiao
usually #2 Doubles 57%, also #1 Doubles 29% · published
Sruthi Subramanyan
usually #1 Doubles 33%, also #2 Doubles 33% · 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.

Vignesh Subramanyan + Sruthi Subramanyan303 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.

Nikhil Pandit
9W–3L career · 3 lines in 2026
no projection at this level
4.77
Vignesh Subramanyan
6W–0L career · 3 lines in 2026
no projection at this level
4.73
Joyce Chou
7W–2L career · 6 lines in 2026
no projection at this level
4.68
Timothy Tan
7W–2L career · 4 lines in 2026
no projection at this level
4.68
Kenny Gea
13W–3L career · 7 lines in 2026
<1%19%81%
4.62
4.5
Alexander Loh
10W–3L career · 6 lines in 2026
<1%45%55%
4.52
Qingqing Zong
12W–4L career · no lines in 2026
no projection at this level
4.43
Nicole Schnabel
10W–7L career · 4 lines in 2026
no projection at this level
4.38
Jerry Liang
17W–1L career · 6 lines in 2026
<1%81%18%
4.37
Jason Ah Chuen Jahchuen
15W–0L career · 6 lines in 2026
3%92%5%
4.27
Kehan Li
8W–6L career · 6 lines in 2026
17%83%<1%
4.14
HsiaoTing Ko
9W–6L career · 4 lines in 2026
17%82%<1%
4.13
Jiayi Shen
12W–2L career · 9 lines in 2026
<1%22%78%
4.11
Tina Baykaner
24W–6L career · 10 lines in 2026
37%63%<1%
4.05
4
Chunguang He
17W–4L career · 10 lines in 2026
<1%59%41%
3.97
Kristen Wong
19W–5L career · 9 lines in 2026
1%89%9%
3.82
JZ Zhong
21W–20L career · 12 lines in 2026
<1%16%84%
3.64
Dylan Zhou
1W–3L career · 4 lines in 2026
not enough data
Garrett Chun
7W–0L career · 5 lines in 2026
not enough data
Helen Jiao
2W–5L career · 7 lines in 2026
not enough data
Sruthi Subramanyan
3W–0L career · 3 lines in 2026
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.