Teams

SGV LLW Heavy Hitters-Tse-Arcadia/SA11

2026 Winter Team Singles · SGV - Men 3.0

8 players · average NTRP 3.00 / SO.CALIFORNIA

View scouting list →
Schedule8 played
L#1 SinglesChanglin Wu vs Sergio Salas1-6, 3-6
L#2 SinglesIan Kaufman vs Sebastian Perez5-7, 6-7
L#3 SinglesSammy Tse vs Calvin Maniago6-3, 2-6, 0-1
W#1 SinglesGunho Kim vs Alexander Maguire6-1, 7-5
W#2 SinglesJason Wojciechowski vs Tyler Tharp6-2, 6-2
2026-02-21vs SGV GT Team-Xiang-WN/ SA2Lost 12
L#1 SinglesJason Wojciechowski vs Sum He4-6, 6-2, 0-1
W#2 SinglesChanglin Wu vs Hanxiang Ji6-4, 7-6
L#3 SinglesSammy Tse vs Lantian Xiang2-6, 1-6
2026-02-15vs SGV Dare Doubles-Shen-WN/SU2Lost 03
L#1 SinglesJason Wojciechowski vs Di Meng5-7, 7-6, 0-1
L#2 SinglesChanglin Wu vs Christopher Taus6-4, 3-6, 0-1
L#3 SinglesTed Chi vs Afonso Miu3-6, 3-6
W#1 SinglesGunho Kim vs Alejandro Sanchez6-1, 6-1
W#2 SinglesIan Kaufman vs Andres Romero6-4, 7-5
W#1 SinglesGunho Kim vs Shunkou Kinoshita6-0, 6-1
W#3 SinglesTed Chi vs Paul Getto5-4
2026-01-17vs SGV Dare Doubles-Shen-WN/SU2Won 20
W#1 SinglesChanglin Wu vs Christopher Taus6-3, 7-6
W#2 SinglesSammy Tse vs Jeffrey Chen6-2, 6-2
2026-01-10vs SGV GT Team-Xiang-WN/ SA2Won 20
W#1 SinglesGunho Kim vs Hanxiang Ji6-1, 6-0
W#2 SinglesJason Wojciechowski vs Shawn Huang6-2, 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 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 2.75 estimated across 7 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.

3.02
Gunho Kim
usually #1 Singles 100% · published
2.89
Jason Wojciechowski
usually #1 Singles 50%, also #2 Singles 50% · published
2.82
Ian Kaufman
usually #2 Singles 100% · published
Anthony Gonzalez
published 3
2.75
Sammy Tse
usually #3 Singles 67%, also #2 Singles 33% · published
2.70
Changlin Wu
usually #2 Singles 50%, also #1 Singles 50% · published 3
2.62
Ted Chi
usually #3 Singles 100% · published
2.47
Giao Vo
published
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.

Gunho Kim
17W–9L career · 4 lines in 2026
<1%44%56%
3.02
Jason Wojciechowski
13W–15L career · 4 lines in 2026
<1%78%22%
2.89
Ian Kaufman
11W–9L career · 2 lines in 2026
1%89%10%
2.82
3
Anthony Gonzalez
5W–0L career · no lines in 2026
not enough data
Sammy Tse
16W–29L career · 3 lines in 2026
4%93%3%
2.75
3
Changlin Wu
17W–27L career · 4 lines in 2026
8%91%2%
2.70
Ted Chi
4W–9L career · 2 lines in 2026
20%80%<1%
2.62
Giao Vo
6W–11L career · no lines in 2026
59%41%<1%
2.47

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.