Teams

BENICIA TA/BENICIA HS 40MX7.0A

2022 MIXED 40&Over · 40&Over MX7.0

19 players · average NTRP 3.44 / NO. 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 40&Over MX7.0 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 3.28 estimated across 18 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
Jonathan Warner
published
3.71
Robert Duong
published
3.59
JoAnn Clark
published
3.54
Wayne Spencer
published
3.44
Diana Babayan
published 3.5
3.44
Daniel Satake
published 3.5
3.43
Gina Chen
published 4
3.36
Francisco Barajas
published 3.5
3.35
Zora Voss
published
3.30
Christeta Gonzalez
published 3.5
3.23
Ronald Orellana
published
3.21
Stacie Maa
published
3.20
Gloria Spencer
published 3.5
3.19
Guru Prasad Acharya
published 3.5
3.16
Nancy Orellana
published
2.93
Meilan Liu
published
2.85
Malou Matthew
published
2.25
Catalina Barajas
published 2.5
Ronald Tabtab
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.

Wayne Spencer + Gloria Spencer10262% games+3.4% vs expected
Catalina Barajas + Francisco Barajas213 matchesnot enough data
JoAnn Clark + Jonathan Warner123 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.

Jonathan Warner
22W–5L career · no lines in 2022
<1%88%12%
3.85
Robert Duong
31W–41L career · no lines in 2022
5%93%1%
3.71
JoAnn Clark
14W–10L career · no lines in 2022
25%75%<1%
3.59
Wayne Spencer
34W–9L career · no lines in 2022
<1%39%61%
3.54
3.5
Diana Babayan
26W–21L career · no lines in 2022
<1%68%32%
3.44
3.5
Daniel Satake
8W–1L career · no lines in 2022
<1%69%31%
3.44
4
Gina Chen
27W–19L career · no lines in 2022
69%31%<1%
3.43
3.5
Francisco Barajas
15W–11L career · no lines in 2022
<1%86%14%
3.36
Zora Voss
13W–6L career · no lines in 2022
<1%88%12%
3.35
3.5
Christeta Gonzalez
2W–2L career · no lines in 2022
1%93%6%
3.30
Ronald Orellana
5W–10L career · no lines in 2022
4%94%2%
3.23
Stacie Maa
8W–2L career · no lines in 2022
5%93%1%
3.21
3.5
Gloria Spencer
18W–15L career · no lines in 2022
6%93%1%
3.20
3.5
Guru Prasad Acharya
11W–10L career · no lines in 2022
7%92%1%
3.19
Nancy Orellana
5W–9L career · no lines in 2022
11%89%<1%
3.16
Meilan Liu
10W–22L career · no lines in 2022
<1%71%28%
2.93
Malou Matthew
7W–15L career · no lines in 2022
<1%87%12%
2.85
2.5
Catalina Barajas
3W–2L career · no lines in 2022
0%97%3%
2.25
Ronald Tabtab
4W–7L 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.