Teams

BC-WestEnd/RogerKodani4.5

2026 SoCal Doubles - Beach Cities · BC Men - 4.5

15 players · average NTRP 4.40 / 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 · BC Men - 4.5
TeamWLInd. WInd. LSets lostGames lost
1BC-WestEnd/JustinDeMattos4.5000000
2BC-MCC/EricSmith4.5000000
3BC-PVTC/ChadMacAllister4.5000000
4BC-WestEnd/RogerKodani4.5000000
5BC-MiraCosta/VenkTatineni4.5000000
6BC-Kramer/KevinEscobar4.5000000
7BC-Lakewood/TonyHsu4.5000000

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 3.98 estimated across 13 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.

4.31
Dalton Coon
published 4.5
4.25
4.11
Philip Kenney
published
4.10
Ronald Nam
published
4.06
Paul Gibbs
published
4.05
Martin Chi
published
4.04
Ivan Chang
published
4.03
Juan Tueros
published 4.5
4.00
Matin Davari
published
3.86
Thomas Browne
published
3.83
Adam Geiger
published 4.5
3.62
Bob Parsi
published 4
3.47
Roger Kodani
published
Tony Yang
published
Tung Le
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.

Adam Geiger + Bob Parsi1637% games+0.3% vs expected
Juan Tueros + Alejo Ramos-Ariansen2741% gamesnot enough data
Adam Geiger + Roger Kodani0830% gamesnot enough data
Dalton Coon + Paul Gibbs3250% gamesnot enough data
Roger Kodani + Bob Parsi0524% gamesnot enough data
Dalton Coon + Roger Kodani044 matchesnot enough data
Juan Tueros + Paul Gibbs044 matchesnot enough data
Roger Kodani + Tony Yang033 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.

4.5
Dalton Coon
3W–15L career · no lines in 2026
1%90%8%
4.31
4.5
Alejo Ramos-Ariansen
27W–38L career · no lines in 2026
4%93%4%
4.25
Philip Kenney
3W–7L career · no lines in 2026
22%78%<1%
4.11
Ronald Nam
2W–4L career · no lines in 2026
24%76%<1%
4.10
Paul Gibbs
4W–9L career · no lines in 2026
32%68%<1%
4.06
Martin Chi
19W–13L career · no lines in 2026
<1%36%64%
4.05
Ivan Chang
1W–2L career · no lines in 2026
37%63%<1%
4.04
4.5
Juan Tueros
66W–70L career · no lines in 2026
41%59%<1%
4.03
Matin Davari
2W–9L career · no lines in 2026
49%51%<1%
4.00
Thomas Browne
36W–13L career · no lines in 2026
1%84%16%
3.86
4.5
Adam Geiger
36W–61L career · no lines in 2026
89%11%<1%
3.83
4
Bob Parsi
91W–156L career · no lines in 2026
20%80%<1%
3.62
Roger Kodani
61W–157L career · no lines in 2026
58%42%<1%
3.47
Tony Yang
0W–2L career · no lines in 2026
not enough data
Tung Le
66W–42L 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.