Teams

SGV Padawans-GAMEZ-WN/SA12

2026 Winter Team Singles · SGV - Men 3.5

7 players · average NTRP 3.50 / SO.CALIFORNIA

View scouting list →
Schedule6 played
W#1 SinglesPengfei Chen vs Thai Nguyen7-6, 6-7
L#2 SinglesSergio Navarro vs Allen Chang3-6, 1-6
W#3 SinglesKirby Xu vs Daniel Espeseth7-6, 6-3
2026-03-08vs SGV Team Lee-WN/SU2Won 30
W#1 SinglesHank Cheng vs Sangho Kim6-0, 6-2
W#2 SinglesGustavo Diaz Gamez vs Ho Joon Kwon6-4, 7-6
W#3 SinglesSergio Navarro vs Jay Lee6-2, 6-3
2026-02-08vs SGV Busy Beavers-Lin-CalTech/SU10Won 20
W#1 SinglesNeil Nieh vs Han Xu5-7, 6-1, 1-0
W#2 SinglesPengfei Chen vs Steven Lin6-7, 6-3, 1-0
L#1 SinglesAndy Zang vs Richard Lie2-6, 0-6
L#2 SinglesKirby Xu vs Daniel Herman0-6, 1-6
L#3 SinglesSergio Navarro vs Wilson Tran2-6, 2-6
W#1 SinglesGustavo Diaz Gamez vs Sandeep Kamalon6-4, 7-5
L#2 SinglesSergio Navarro vs Manish Anand2-6, 0-6
W#3 SinglesKirby Xu vs Basudev Thoppai Vidyasankar0-6, 6-2, 1-0
W#2 SinglesKirby Xu vs Aditya Kajla6-3, 6-1
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 standings7 teams · SGV - Men 3.5
TeamWLInd. WInd. LSets lostGames lost
1SGV LLW Heavy Hitters-St Clair-Arcadia/SA14211716140
2SGV Hot Shots Redemption-Nguyen-Palm Park/SA24211718153
3SGV Padawans-GAMEZ-WN/SA124211718167
4SGV Underdogs Titans-Bandaru-Diamond Bar HS/SA10:30339919162
5SGV Underdogs Aces-Ponnaganti/Diamond Bar HS/SA10:3310820167
6SGV Busy Beavers-Lin-CalTech/SU103381023181
7SGV Team Lee-WN/SU20631532201

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 3.26 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.

3.50
Hank Cheng
usually #1 Singles 100% · published 3.5
3.30
Neil Nieh
usually #1 Singles 100% · published
3.26
Kirby Xu
usually #3 Singles 50%, also #2 Singles 50% · published
Gustavo Diaz Gamez
usually #2 Singles 50%, also #1 Singles 50% · published 3.5
3.16
Andy Zang
usually #1 Singles 100% · published 3.5
3.08
Sergio Navarro
usually #2 Singles 50%, also #3 Singles 50% · published
Pengfei Chen
usually #1 Singles 50%, also #2 Singles 50% · 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.

3.5
Hank Cheng
7W–3L career · type S · 1 line in 2026
<1%48%52%
3.50
Neil Nieh
6W–5L career · 1 line in 2026
1%93%6%
3.30
Kirby Xu
14W–16L career · 4 lines in 2026
2%94%3%
3.26
3.5
Gustavo Diaz Gamez
8W–2L career · 2 lines in 2026
not enough data
3.5
Andy Zang
33W–21L career · 1 line in 2026
11%88%<1%
3.16
Sergio Navarro
2W–6L career · 4 lines in 2026
27%73%<1%
3.08
Pengfei Chen
4W–2L career · 2 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.