Teams

SD LT Balboa TC/ Tan

2026 Mixed Doubles Tri-Level Fall - SD · SD (8.0

15 players · average NTRP 3.46 / SAN DIEGO

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 · SD (8.0
TeamWLInd. WInd. LSets lostGames lost
1SD LT SDTRC/ Adams000000
2SD LT ECCTA/ Rozo- Runde000000
3SD LT Balboa TC/ Tan000000
4SD LT Balboa M&M's/ Afifi000000
5SD LT Peninsula TC/ Miller000000
6SD LT Mtn View/ Cortez000000
7SD LT SDTRC/ Dube000000

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 3.42 estimated across 14 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.

3.92
ANGIE CRAWFORD
published 4
3.85
Jeffrey Wolpert
published 4
3.83
Gregory Gerardo
published 4
3.80
Wesley Kong
published
3.62
Joel Corrales
published
3.52
Alex Trejo
published 3.5
3.46
James Doan
published
3.44
Suzanne Pham
published 3.5
3.40
Kaili Ghio
published 3.5
Amy Tran
published 3.5
3.24
Clara Tan
published 3.5
3.09
Matt Halpin
published 3
3.01
Candace Gyure
published 3
2.94
Marisa Alvarado
published 3
2.72
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.

Kaili Ghio + James Doan6070% gamesnot enough data
Matt Halpin + Suzanne Pham213 matchesnot enough data
Kaili Ghio + Alex Trejo303 matchesnot enough data
ANGIE CRAWFORD + Wesley Kong033 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
ANGIE CRAWFORD
23W–13L career · no lines in 2026
<1%71%29%
3.92
4
Jeffrey Wolpert
24W–16L career · no lines in 2026
1%85%14%
3.85
4
Gregory Gerardo
41W–43L career · no lines in 2026
1%88%11%
3.83
Wesley Kong
6W–8L career · no lines in 2026
2%91%7%
3.80
Joel Corrales
17W–1L career · no lines in 2026
<1%20%80%
3.62
3.5
Alex Trejo
13W–4L career · no lines in 2026
<1%44%56%
3.52
James Doan
24W–4L career · no lines in 2026
<1%61%39%
3.46
3.5
Suzanne Pham
49W–28L career · no lines in 2026
<1%67%33%
3.44
3.5
Kaili Ghio
59W–22L career · no lines in 2026
<1%76%24%
3.40
3.5
Amy Tran
1W–0L career · no lines in 2026
not enough data
3.5
Clara Tan
53W–43L career · no lines in 2026
4%93%3%
3.24
3
Matt Halpin
78W–39L career · no lines in 2026
<1%27%73%
3.09
3
Candace Gyure
128W–86L career · no lines in 2026
<1%46%54%
3.01
3
Marisa Alvarado
49W–36L career · no lines in 2026
<1%67%33%
2.94
3
Michael Chaiwimol
45W–51L career · no lines in 2026
6%92%2%
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.