Teams

SGV Ball Hogs-R. Yip-Arroyo Seco/SU12

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

20 players · average NTRP 3.57 / 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 3.22 estimated across 20 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.

4.07
Ming-Ming Peng
published 4
3.93
David Lui
published 4
3.58
Nick Leonard
published
3.54
Umaa Rebbapragada
published
3.39
Nancy Tran
published
3.38
Andy Tromans
published 4
3.30
Elik Alvarez
published
3.27
Jordan Curiel
published
3.25
Kristelle Yale
published
3.21
Annemarie Schnedler
published 3.5
3.14
Ronald Yip
published
3.11
Carl Compton
published 3.5
3.04
Mei Wong
published
3.00
Maree Lingao
published
2.97
Florence Chen
published
2.92
April Mutuc
published 3
2.91
Charles Do
published 3
2.90
Eileen Yip
published
2.82
Ian Kaufman
published
2.72
Steve Luu
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.

Carl Compton + Nancy Tran123 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
Ming-Ming Peng
52W–34L career · no lines in 2026
<1%31%69%
4.07
4
David Lui
7W–3L career · no lines in 2026
<1%70%30%
3.93
Nick Leonard
11W–6L career · no lines in 2026
27%73%<1%
3.58
Umaa Rebbapragada
13W–3L career · no lines in 2026
<1%<1%>99%
3.54
Nancy Tran
6W–7L career · no lines in 2026
<1%<1%>99%
3.39
4
Andy Tromans
10W–6L career · no lines in 2026
80%20%<1%
3.38
Elik Alvarez
9W–8L career · no lines in 2026
<1%1%99%
3.30
Jordan Curiel
16W–9L career · no lines in 2026
<1%3%97%
3.27
Kristelle Yale
1W–4L career · no lines in 2026
4%93%4%
3.25
3.5
Annemarie Schnedler
6W–13L career · no lines in 2026
7%91%2%
3.21
Ronald Yip
16W–13L career · no lines in 2026
<1%17%83%
3.14
3.5
Carl Compton
5W–7L career · no lines in 2026
21%79%<1%
3.11
Mei Wong
6W–5L career · no lines in 2026
<1%39%61%
3.04
Maree Lingao
13W–10L career · no lines in 2026
0%<1%>99%
3.00
Florence Chen
1W–3L career · no lines in 2026
<1%59%41%
2.97
3
April Mutuc
6W–2L career · type S · no lines in 2026
<1%71%29%
2.92
3
Charles Do
13W–16L career · no lines in 2026
<1%73%27%
2.91
Eileen Yip
6W–10L career · no lines in 2026
<1%75%25%
2.90
Ian Kaufman
11W–9L career · no lines in 2026
1%89%10%
2.82
Steve Luu
0W–8L career · no lines in 2026
98%2%<1%
2.72

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.