Teams

BENICIA TA/BENICIA HS 40MX8.0A

2023 MIXED 40&Over · 40&Over MX8.0

22 players · average NTRP 3.90 / 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 MX8.0 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 3.75 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.

4.17
Jamille Lee
published
3.98
Maribel Barajas
published
3.95
Ava Ascher
published 4
3.94
Vikram Kadi
published
3.92
Nancy Wilson
published
3.91
Tom Kincaid
published
3.87
Marcelo Nunes
published
3.84
Jonathan Warner
published
3.79
Ariane Sanders
published 4
3.79
Jill Van Slyke
published
3.73
Shay Martin
published
3.69
Lual Lualhati
published
3.59
Val Swan
published
3.59
JoAnn Clark
published
3.54
Darci Nunes
published 4
3.47
3.41
Chamane Ifland
usually #1 Doubles 43%, also #3 Doubles 29% · published 4
3.33
Chris Dao
published 3.5
Guillermo Reyes
published
Mahmood Barakzai
published
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.

Marcelo Nunes + Darci Nunes4159% gamesnot enough data
Ariane Sanders + Ronald Tabtab224 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.

Jamille Lee
19W–9L career · no lines in 2023
11%88%1%
4.17
Maribel Barajas
8W–5L career · no lines in 2023
<1%55%45%
3.98
4
Ava Ascher
16W–9L career · no lines in 2023
<1%63%37%
3.95
Vikram Kadi
15W–20L career · no lines in 2023
66%34%<1%
3.94
Nancy Wilson
21W–28L career · no lines in 2023
72%28%<1%
3.92
Tom Kincaid
9W–6L career · no lines in 2023
73%27%<1%
3.91
Marcelo Nunes
12W–14L career · no lines in 2023
83%17%<1%
3.87
Jonathan Warner
22W–5L career · no lines in 2023
1%87%12%
3.84
4
Ariane Sanders
15W–19L career · no lines in 2023
2%91%7%
3.79
Jill Van Slyke
7W–49L career · no lines in 2023
94%6%<1%
3.79
Shay Martin
20W–17L career · no lines in 2023
5%92%3%
3.73
Lual Lualhati
28W–15L career · no lines in 2023
9%89%1%
3.69
Val Swan
8W–10L career · no lines in 2023
26%74%<1%
3.59
JoAnn Clark
14W–11L career · no lines in 2023
27%73%<1%
3.59
4
Darci Nunes
11W–8L career · type S · no lines in 2023
40%60%<1%
3.54
Hunter Hollingsworth
8W–3L career · no lines in 2023
58%42%<1%
3.47
4
Chamane Ifland
107W–54L career · 7 lines in 2023
74%26%<1%
3.41
3.5
Chris Dao
15W–7L career · no lines in 2023
1%88%11%
3.33
Frederick Crescencio
16W–9L career · no lines in 2023
not enough data
Guillermo Reyes
2W–0L career · no lines in 2023
not enough data
Mahmood Barakzai
0W–3L career · no lines in 2023
not enough data
Ronald Tabtab
6W–8L career · no lines in 2023
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.