Teams

BAY CLUB SF TENNIS 18MX9.0A

2025 MIXED 18&Over · 18&Over MX9.0

17 players · average NTRP 4.67 / 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 4.12 estimated across 14 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.

4.75
Lucy Nutting
published
4.54
Elena Pan
usually #1 Doubles 100% · published
4.53
Ryan Sablan
published
4.50
Katharine Dicconson
published
Ali Jafri
published 4.5
4.23
Taylor T Leese
published
4.16
Rob Lamour
published
4.05
Tina Baykaner
published
4.04
Shahand Esmaeili
published
3.95
Peter Stern
published
3.89
Nicholas Benson
published
3.84
Kelemen Papp
published
3.82
Kristen Wong
published
3.81
Sandi Dumas
published
3.57
Todd Lewis
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.

5
Daniela Castillo Contreras
3W–0L career · no lines in 2025
not enough data
Lucy Nutting
4W–2L career · no lines in 2025
no projection at this level
4.75
Elena Pan
9W–3L career · 1 line in 2025
<1%40%60%
4.54
Ryan Sablan
21W–7L career · no lines in 2025
<1%42%58%
4.53
Katharine Dicconson
10W–3L career · no lines in 2025
<1%50%50%
4.50
4.5
Ali Jafri
3W–1L career · no lines in 2025
not enough data
4.5
Christopher Ruiz Chiu
1W–1L career · no lines in 2025
not enough data
Taylor T Leese
10W–5L career · no lines in 2025
5%92%3%
4.23
Rob Lamour
12W–5L career · no lines in 2025
13%86%1%
4.16
Tina Baykaner
24W–6L career · no lines in 2025
37%63%<1%
4.05
Shahand Esmaeili
6W–6L career · no lines in 2025
37%63%<1%
4.04
Peter Stern
11W–1L career · no lines in 2025
<1%64%36%
3.95
Nicholas Benson
6W–10L career · no lines in 2025
79%21%<1%
3.89
Kelemen Papp
8W–2L career · no lines in 2025
1%87%12%
3.84
Kristen Wong
19W–5L career · no lines in 2025
1%89%9%
3.82
Sandi Dumas
9W–7L career · no lines in 2025
1%90%8%
3.81
Todd Lewis
21W–13L career · no lines in 2025
31%69%<1%
3.57

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.