Teams

Wukong/He/Palo Alto

2026 Tri-Level 3.0 · 3.5

11 players · average NTRP 3.50 / NO. CALIFORNIA

View scouting list →
Schedule4 played
2026-03-21vs Mishits/Lewis/BurlingameWon 30
W#1 DoublesPing Yu / Sikai Huang vs Evan Lee / James Lin6-0, 3-6, 1-0
W#2 DoublesBrian Deng / Shi Dong vs Craig Quan / Andrew Lok7-6, 6-3
W#3 DoublesGreg Xiong / Jiye Wu vs Sam Mateosian / Vatsal Oza6-7, 6-4, 1-0
2026-03-21vs Slicebro/Sun/SunnyvaleLost 12
L#1 DoublesSikai Huang / Wenxin He vs HAO GAO / Duke Yin5-7, 3-6
L#2 DoublesBrian Deng / Henry Lu vs Sean Liu / JIANWEI GONG1-6, 6-4
W#3 DoublesTianyi Wang / Jiye Wu vs Zhouyang Li / Haoting Chen7-5, 6-2
2026-03-20vs Warriors/Venkitakrishnan/San RamonLost 12
L#1 DoublesSikai Huang / Wenxin He vs Mukundan Swaminathan / Chandra Mouli3-6, 4-6
L#2 DoublesJingfan Sun / Henry Lu vs Amrish Pantvaidya / Anup Katariya3-6, 0-6
W#3 DoublesGreg Xiong / Tianyi Wang vs Moorthi Kothandaraman / JP Kopula6-4, 7-5
2026-03-20vs Thunderbolts/Kudupu/FremontLost 12
L#1 DoublesSikai Huang / Ping Yu vs Sekar Mokachandra / Balachandra Rangaswamy5-7, 6-7
W#2 DoublesShi Dong / Henry Lu vs Aveer Thakur / Kulvinder Singh4-6, 6-4, 1-0
L#3 DoublesJiye Wu / Tianyi Wang vs Udayakumar Thimma Janarthanan / Manoj Selukar3-6, 6-3, 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 standings15 teams · 3.5
TeamWLInd. WInd. LSets lostGames lost
1DPTG/Mangonon/Pleasanton40120182
2Slicebro/Sun/Sunnyvale4093995
3Warriors/Venkitakrishnan/San Ramon408412106
4Thunderbolts/Kudupu/Fremont318410104
5DPTG TFT/Paladugu/Dublin318411111
6Dream Team/Wei/Saratoga317512105
7RoyalFlush/Tjoa/Dublin225715117
8Wukong/He/Palo Alto136615124
9Blackhawk Tennis Villains/Dacayanan/Danville135716125
10DVTC/Dasgupta/Danville135718134
11Mishits/Lewis/Burlingame134818129
12Aces Wild/Alves/San Jose133918119
13Silent Assassins/Santos/San Francisco134819133
14Framers/Hennessy/Walnut Creek134820134
15Pain in the Ace/Austero/Oakley0421021135

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 3.31 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.

3.93
Sikai Huang
usually #1 Doubles 100% · published
3.69
Brian Deng
usually #2 Doubles 100% · published 3.5
3.62
Ping Yu
usually #1 Doubles 100% · published
3.41
Wenxin He
usually #1 Doubles 100% · published
3.37
Shi Dong
usually #2 Doubles 100% · published
3.36
Henry Lu
usually #2 Doubles 100% · published
3.28
Jingfan Sun
usually #2 Doubles 100% · published
3.08
Jiye Wu
usually #3 Doubles 100% · published
2.98
Tianyi Wang
usually #3 Doubles 100% · published
2.89
Jo Zhang
published
2.81
Greg Xiong
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.

Jingfan Sun + Shi Dong2351% games+3.8% vs expected
Jiye Wu + Tianyi Wang123 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.

Sikai Huang
20W–8L career · 4 lines in 2026
<1%<1%>99%
3.93
3.5
Brian Deng
20W–12L career · 2 lines in 2026
<1%8%92%
3.69
Ping Yu
25W–20L career · 2 lines in 2026
<1%19%81%
3.62
Wenxin He
13W–26L career · 2 lines in 2026
<1%74%26%
3.41
Shi Dong
36W–21L career · 2 lines in 2026
<1%82%18%
3.37
Henry Lu
14W–6L career · 3 lines in 2026
<1%83%16%
3.36
Jingfan Sun
10W–12L career · 1 line in 2026
2%92%6%
3.28
Jiye Wu
16W–16L career · 3 lines in 2026
<1%27%73%
3.08
Tianyi Wang
8W–12L career · 3 lines in 2026
<1%55%45%
2.98
Jo Zhang
14W–7L career · no lines in 2026
<1%79%21%
2.89
Greg Xiong
8W–8L career · 2 lines in 2026
1%90%8%
2.81

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.