Teams

SUNNYVALE TC/SUNNYVALE MTC 18MX9.0A

2026 MIXED 18&Over · 18&Over MX9.0

17 players · average NTRP 4.38 / 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 →
Schedule1 played
2026-03-11Lost 01
L#1 DoublesVelislava Balin / Kuan Chang vs Lily Huang / Kevin Margo4-6, 2-6
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 4.12 estimated across 16 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.

4.46
Chris Bernt
usually #2 Doubles 50%, also #1 Doubles 33% · published 4.5
4.38
Joshua Duong
usually #1 Doubles 44%, also #2 Doubles 33% · published
4.34
Wendy Cheng
usually #3 Doubles 50%, also #1 Doubles 25% · published
4.23
Daniella Holm
usually #2 Doubles 56%, also #1 Doubles 33% · published 4.5
4.22
Veeraya Pupatwibul
usually #3 Doubles 50%, also #1 Doubles 38% · published
4.20
Kristine Tan
usually #1 Doubles 71%, also #2 Doubles 14% · published
4.17
Jennifer Jin
usually #2 Doubles 40%, also #3 Doubles 40% · published
4.13
Anusha Arcalgud
usually #1 Doubles 44%, also #3 Doubles 33% · published 4.5
4.12
Theo Novak
usually #1 Doubles 60%, also #2 Doubles 30% · published
4.11
Stephen Li
usually #1 Doubles 86%, also #2 Doubles 14% · published
4.10
Velislava Balin
usually #1 Doubles 100% · published
4.02
Elani Phan
usually #3 Doubles 44%, also #2 Doubles 33% · published
3.96
Kuan Chang
usually #1 Doubles 44%, also #3 Doubles 33% · published
3.84
Daniel Lloyd Pias
usually #2 Doubles 75%, also #1 Doubles 13% · published 4
3.80
Joseph Huang
usually #2 Doubles 48%, also #1 Doubles 43% · published
3.78
Vladan Popovic
usually #3 Doubles 38%, also #2 Doubles 38% · published
May Chee
usually #3 Doubles 38%, also #2 Doubles 38% · 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.

Vladan Popovic + May Chee3254% gamesnot enough data
Kristine Tan + Stephen Li123 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.

4.5
Chris Bernt
8W–5L career · 6 lines in 2026
<1%60%40%
4.46
Joshua Duong
13W–11L career · 9 lines in 2026
no projection at this level
4.38
Wendy Cheng
23W–7L career · 4 lines in 2026
1%87%12%
4.34
4.5
Daniella Holm
26W–15L career · 9 lines in 2026
5%92%3%
4.23
Veeraya Pupatwibul
23W–16L career · 8 lines in 2026
6%92%2%
4.22
Kristine Tan
18W–19L career · 7 lines in 2026
8%91%2%
4.20
Jennifer Jin
19W–9L career · 5 lines in 2026
11%88%1%
4.17
4.5
Anusha Arcalgud
9W–15L career · 9 lines in 2026
17%83%<1%
4.13
Theo Novak
21W–10L career · 10 lines in 2026
20%80%<1%
4.12
Stephen Li
10W–9L career · 7 lines in 2026
21%78%<1%
4.11
Velislava Balin
3W–15L career · 1 line in 2026
23%77%<1%
4.10
Elani Phan
13W–21L career · 9 lines in 2026
45%55%<1%
4.02
Kuan Chang
15W–17L career · 9 lines in 2026
62%38%<1%
3.96
4
Daniel Lloyd Pias
12W–14L career · type A · 8 lines in 2026
1%86%13%
3.84
Joseph Huang
30W–8L career · 21 lines in 2026
1%90%8%
3.80
Vladan Popovic
23W–20L career · 8 lines in 2026
2%92%6%
3.78
May Chee
10W–7L career · 8 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.