Teams

BC - Kramer/ChristopherBall

2022 SOCAL Doubles - Beach Cities · BC Men - 3.5

18 players · average NTRP 3.55 / 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 standings for BC Men - 3.5 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.25 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.

3.96
Steven Chuang
published
Cody Mullenaux
published 4
3.40
Daniel Inukai
published 3.5
3.35
Chris Frantz
published 3.5
3.34
David Cobb
published 3.5
3.32
Chundi Chen
published 3.5
3.27
Alfred Ross
published 3.5
3.26
James Weng
published 3.5
David Bradley
published 3.5
3.23
Vitaliy Rusakov
published
3.17
Estuardo Meza
published 3.5
3.17
AJ Poulin
published 3.5
3.09
Christopher Ball
published 3.5
2.95
Todd Springer
published
2.73
John Abelson
published
Kevin Amaya
published
Nick Palmieri
published
Zhiheng Huang
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.

Steven Chuang
5W–1L career · no lines in 2022
<1%61%39%
3.96
4
Cody Mullenaux
1W–0L career · no lines in 2022
not enough data
3.5
Daniel Inukai
10W–6L career · no lines in 2022
<1%79%21%
3.40
3.5
Chris Frantz
6W–2L career · no lines in 2022
<1%88%12%
3.35
3.5
David Cobb
10W–10L career · no lines in 2022
<1%89%10%
3.34
3.5
Chundi Chen
6W–3L career · no lines in 2022
1%91%8%
3.32
3.5
Alfred Ross
2W–2L career · type M · no lines in 2022
2%94%4%
3.27
3.5
James Weng
7W–9L career · no lines in 2022
2%95%3%
3.26
3.5
David Bradley
1W–1L career · type S · no lines in 2022
not enough data
Vitaliy Rusakov
7W–15L career · no lines in 2022
4%94%2%
3.23
3.5
Estuardo Meza
9W–6L career · no lines in 2022
9%90%1%
3.17
3.5
AJ Poulin
3W–12L career · no lines in 2022
10%90%1%
3.17
3.5
Christopher Ball
2W–8L career · type A · no lines in 2022
24%75%<1%
3.09
Todd Springer
3W–13L career · no lines in 2022
64%36%<1%
2.95
John Abelson
6W–7L career · no lines in 2022
4%94%2%
2.73
Kevin Amaya
1W–2L career · no lines in 2022
not enough data
Nick Palmieri
1W–2L career · no lines in 2022
not enough data
Zhiheng Huang
5W–3L career · no lines in 2022
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.