Teams

SGV Tennis Addicts-Tsai-Arroyo HS/SU10

2026 Mixed Tri Level - 18 & Over - San Gabriel Valley · SGV 3.0

16 players · average NTRP 3.50 / SO.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 →
Flight standings7 teams · SGV 3.0
TeamWLInd. WInd. LSets lostGames lost
1SGV Dare Doubles-Flores-WN/SU10000000
2SGV Wild Cards-Tang-Arroyo High /SA10000000
3SGV Ball Hogs-R. Yip-Arroyo Seco/SU12000000
4SGV Tennis Addictzz-S.ChangArroyo HS/SA8000000
5SGV Tennis Addicts-Tsai-Arroyo HS/SU10000000
6SGV Silverwood-Locks-La Canada CC/SA4000000
7SGV Enter the Dragon-Wong-Claremont Club/SA2000000

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 3.45 estimated across 15 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.

3.85
3.78
Manoj Parmar
published 4
3.75
Katie Lagen
published 3.5
3.74
Blason Taon
published 4
3.62
Ernie Maldonado
published
3.50
Victoria Rose
published
3.50
Franciz Bragg
published
3.49
Michael Iguidez
published 3.5
3.48
Woo Kim
published
3.40
Tina Gong
published
3.27
Hoan Tiffany Lau
published
3.21
Jimmy Cheng
published
3.17
Stefani Galvagni
published 3
3.16
John Bragg
published
2.89
Amy Soong Tsai
published 3
Anthony Gonzalez
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.

Michael Iguidez + Hoan Tiffany Lau11167% games+15.7% vs expected
Manoj Parmar + Amy Soong Tsai10368% games+1.8% vs expected
Michael Iguidez + Tina Gong404 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
Adrienne Beauvois
152W–119L career · no lines in 2026
1%85%14%
3.85
4
Manoj Parmar
148W–42L career · no lines in 2026
2%92%6%
3.78
3.5
Katie Lagen
68W–18L career · no lines in 2026
<1%4%96%
3.75
4
Blason Taon
84W–56L career · no lines in 2026
5%92%3%
3.74
Ernie Maldonado
3W–7L career · no lines in 2026
20%80%<1%
3.62
Victoria Rose
9W–5L career · no lines in 2026
<1%49%51%
3.50
Franciz Bragg
10W–14L career · no lines in 2026
<1%<1%>99%
3.50
3.5
Michael Iguidez
58W–30L career · no lines in 2026
<1%53%47%
3.49
Woo Kim
15W–10L career · no lines in 2026
<1%<1%>99%
3.48
Tina Gong
9W–3L career · no lines in 2026
0%<1%>99%
3.40
Hoan Tiffany Lau
22W–7L career · no lines in 2026
<1%2%98%
3.27
Jimmy Cheng
19W–23L career · no lines in 2026
<1%7%93%
3.21
3
Stefani Galvagni
129W–81L career · no lines in 2026
<1%12%88%
3.17
John Bragg
24W–13L career · no lines in 2026
<1%12%88%
3.16
3
Amy Soong Tsai
89W–60L career · no lines in 2026
<1%79%21%
2.89
3
Anthony Gonzalez
5W–0L career · no 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.