Teams

BAY CLUB SANTA CLARA 18MX9.0A

2025 MIXED 18&Over · 18&Over MX9.0

19 players · average NTRP 4.50 / 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 18&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 4.13 estimated across 17 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.

Cameron Tehrani
published 5
4.74
Jon Teel
published
4.41
Adeeti Ullal
published 4.5
4.36
Sueyin Wong
published
4.29
Ranjit Narayanan
published
4.28
Christopher Abate
published 4.5
Aditya Sanghani
usually #3 Doubles 50%, also #2 Doubles 50% · published 4.5
4.24
Kevin Margo
published
4.20
Tula Kraiser
published
4.14
Sumeeta Vasishta
published
4.11
Max Bunag
published
4.11
Jay Saddler
published
4.04
Jeannine Roberts
published
4.01
Nicole Stephens
published
3.94
Silvana Gold
published
3.89
Shelly Wallace
published
3.85
Michelle Nicholson
published
3.83
Kimi Sato
published
3.79
Christy Ma
published 4
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.

5
Cameron Tehrani
2W–0L career · type M · no lines in 2025
not enough data
Jon Teel
7W–5L career · no lines in 2025
no projection at this level
4.74
4.5
Adeeti Ullal
14W–11L career · no lines in 2025
<1%73%26%
4.41
Sueyin Wong
13W–21L career · no lines in 2025
<1%83%16%
4.36
Ranjit Narayanan
12W–9L career · no lines in 2025
2%91%7%
4.29
4.5
Christopher Abate
8W–8L career · no lines in 2025
2%92%6%
4.28
4.5
Aditya Sanghani
1W–3L career · 2 lines in 2025
not enough data
Kevin Margo
19W–19L career · no lines in 2025
4%93%3%
4.24
Tula Kraiser
10W–9L career · no lines in 2025
7%91%2%
4.20
Sumeeta Vasishta
24W–6L career · no lines in 2025
16%84%1%
4.14
Max Bunag
2W–1L career · no lines in 2025
21%79%<1%
4.11
Jay Saddler
13W–21L career · no lines in 2025
22%78%<1%
4.11
Jeannine Roberts
14W–8L career · no lines in 2025
38%62%<1%
4.04
Nicole Stephens
29W–36L career · no lines in 2025
48%52%<1%
4.01
Silvana Gold
45W–23L career · no lines in 2025
<1%67%33%
3.94
Shelly Wallace
10W–12L career · no lines in 2025
79%21%<1%
3.89
Michelle Nicholson
45W–22L career · no lines in 2025
1%84%15%
3.85
Kimi Sato
22W–23L career · no lines in 2025
1%88%11%
3.83
4
Christy Ma
25W–23L career · no lines in 2025
2%91%7%
3.79

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.