Teams

SGV Dare Doubles-Shen-WN/SU2

2026 Winter Team Singles · SGV - Men 3.0

5 players · average NTRP 3.00 / SO.CALIFORNIA

View scouting list →
Schedule8 played
L#2 SinglesGongqin Shen vs Ted Randall1-6, 4-6
2026-03-08vs SGV GT Team-Xiang-WN/ SA2Split 11
W#1 SinglesDi Meng vs Fanhao Meng6-2, 6-2
L#3 SinglesGongqin Shen vs Hanxiang Ji6-4, 3-6, 1-0
W#1 SinglesChristopher Taus vs Andres Romero3-6, 6-3, 1-0
L#2 SinglesGongqin Shen vs Alejandro Sanchez5-7, 4-6
W#1 SinglesDi Meng vs Jason Wojciechowski7-5, 6-7, 1-0
W#2 SinglesChristopher Taus vs Changlin Wu4-6, 6-3, 1-0
W#3 SinglesAfonso Miu vs Ted Chi6-3, 6-3
W#1 SinglesDi Meng vs Alexander Maguire6-1, 6-3
L#2 SinglesChristopher Taus vs Shunkou Kinoshita4-6, 4-6
L#3 SinglesAfonso Miu vs Paul Getto1-6, 2-6
2026-01-24vs SGV GT Team-Xiang-WN/ SA2Won 20
W#1 SinglesPatrick Chu vs Sum He7-6, 4-6, 1-0
W#3 SinglesAfonso Miu vs Lantian Xiang6-4, 3-6, 1-0
L#1 SinglesChristopher Taus vs Changlin Wu3-6, 6-7
W#1 SinglesPatrick Chu vs Giovanni Leguizamon6-1, 7-5
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 standings5 teams · SGV - Men 3.0
TeamWLInd. WInd. LSets lostGames lost
1SGV LLW Heavy Hitters-Tse-Arcadia/SA115316816166
2SGV GT Team-Xiang-WN/ SA253121227209
3SGV Super Servers-Schiffman- Scholl/SU1144121225225
4SGV HFA -Salas-Downey High School/SA1044101430231
5SGV Dare Doubles-Shen-WN/SU226101433244

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 2.81 estimated across 5 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.

3.01
Patrick Chu
usually #1 Singles 100% · published
2.91
Di Meng
usually #1 Singles 100% · published 3
2.88
Christopher Taus
usually #1 Singles 50%, also #2 Singles 50% · published 3
2.65
Gongqin Shen
usually #2 Singles 67%, also #3 Singles 33% · published
2.59
Afonso Miu
usually #3 Singles 100% · published 3
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.

Afonso Miu + Gongqin Shen033 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.

Patrick Chu
17W–10L career · 2 lines in 2026
<1%46%54%
3.01
3
Di Meng
4W–3L career · type S · 3 lines in 2026
<1%74%26%
2.91
3
Christopher Taus
25W–11L career · 4 lines in 2026
<1%80%20%
2.88
Gongqin Shen
6W–19L career · 3 lines in 2026
14%86%1%
2.65
3
Afonso Miu
13W–14L career · 3 lines in 2026
27%73%<1%
2.59

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.