Teams

BAY CLUB SANTA CLARA 40MX9.0A

2022 MIXED 40&Over · 40&Over MX9.0

20 players · average NTRP 4.20 / 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 MX9.0 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 3.99 estimated across 20 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.

4.43
Shiraz Madan
published
4.32
Carol Wang
published 4.5
4.32
Sueyin Wong
published
4.30
Ranjit Narayanan
published
4.29
Christopher Abate
published 4.5
4.24
Kevin Margo
published
4.24
John Rongxiang Hu
published
4.11
Jay Saddler
published
4.05
Jeannine Roberts
published
4.01
Tom Kent
published
4.00
Reena Kishen
published
4.00
Jennifer Yeager
published
3.96
Silvana Gold
published
3.96
Shelly Wallace
published
3.81
Kimi Sato
published
3.63
Fred Li
published 4
3.60
Dorien Africa
published 4
3.57
Rosemary Kent
published
3.56
Donna Wheatley
published 4
3.48
Julie Blaha
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.

John Rongxiang Hu + Carol Wang044 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.

Shiraz Madan
7W–3L career · no lines in 2022
<1%70%30%
4.43
4.5
Carol Wang
5W–20L career · no lines in 2022
1%91%8%
4.32
Sueyin Wong
13W–21L career · no lines in 2022
1%91%8%
4.32
Ranjit Narayanan
12W–9L career · no lines in 2022
1%92%7%
4.30
4.5
Christopher Abate
8W–8L career · no lines in 2022
1%93%6%
4.29
Kevin Margo
19W–19L career · no lines in 2022
3%95%2%
4.24
John Rongxiang Hu
2W–12L career · no lines in 2022
3%94%2%
4.24
Jay Saddler
13W–21L career · no lines in 2022
21%79%<1%
4.11
Jeannine Roberts
13W–8L career · no lines in 2022
34%66%<1%
4.05
Tom Kent
5W–14L career · no lines in 2022
48%52%<1%
4.01
Reena Kishen
5W–3L career · no lines in 2022
<1%51%49%
4.00
Jennifer Yeager
8W–7L career · no lines in 2022
52%48%<1%
4.00
Silvana Gold
45W–23L career · no lines in 2022
<1%61%39%
3.96
Shelly Wallace
10W–12L career · no lines in 2022
62%38%<1%
3.96
Kimi Sato
20W–23L career · no lines in 2022
1%92%7%
3.81
4
Fred Li
7W–13L career · no lines in 2022
16%83%<1%
3.63
4
Dorien Africa
13W–13L career · no lines in 2022
22%78%<1%
3.60
Rosemary Kent
5W–7L career · no lines in 2022
29%71%<1%
3.57
4
Donna Wheatley
6W–9L career · no lines in 2022
33%67%<1%
3.56
Julie Blaha
4W–2L career · no lines in 2022
56%44%<1%
3.48

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.