Teams

SAN CARLOS TC/ARGUELLO PK 18MX7.0C

2025 MIXED 18&Over · 18&Over MX7.0

21 players · average NTRP 3.50 / 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 →
Schedule3 played
2025-02-16vs SAN CARLOS TC/ARGUELLO PK 18MX7.0ALost 01
L#3 DoublesGail Fong / Patrick Harshman vs Nancy Miyasaki / John Spottiswood1-6, 5-7
W#1 DoublesGail Fong / Alistair Jeffs vs Kelly Huber / Prithwiraj Mitra6-2, 6-4
W#3 DoublesGail Fong / Patrick Harshman vs Daphne Zenk / Raymond Choye7-6, 6-3
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for 18&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 3.34 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.

3.86
Sandeep Bangera
published
3.54
Aj Jain
published 3.5
3.51
Tom Chiang
published
3.47
Rebecca Luong
published
3.44
Fay Toolami
published
3.42
Alistair Barr
published 3.5
3.41
Wenxin He
usually #1 Doubles 50%, also #3 Doubles 50% · published
3.37
Shi Dong
published
3.37
Matthew Spuller
published
3.36
Debbie Schechter
published 3.5
3.33
Gail Fong
usually #3 Doubles 67%, also #1 Doubles 33% · published
3.30
Alistair Jeffs
usually #3 Doubles 100% · published 3.5
3.25
Rohan Agarwal
published
3.24
Patrick Harshman
published
3.22
Tiffany Truong
published
3.21
Bob Whitaker
published 3.5
3.15
Amy Clifford
published 3.5
3.13
Judy Tanita
published
2.91
Xi Xia
published
Suzanne Nick
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.

Sandeep Bangera
19W–8L career · no lines in 2025
1%84%15%
3.86
3.5
Aj Jain
6W–1L career · no lines in 2025
<1%38%62%
3.54
Tom Chiang
8W–6L career · no lines in 2025
47%53%<1%
3.51
Rebecca Luong
21W–12L career · no lines in 2025
<1%58%42%
3.47
Fay Toolami
1W–6L career · no lines in 2025
66%34%<1%
3.44
3.5
Alistair Barr
9W–5L career · no lines in 2025
<1%71%29%
3.42
Wenxin He
13W–26L career · 2 lines in 2025
<1%74%26%
3.41
Shi Dong
36W–21L career · no lines in 2025
<1%82%18%
3.37
Matthew Spuller
3W–2L career · no lines in 2025
<1%82%17%
3.37
3.5
Debbie Schechter
28W–12L career · no lines in 2025
<1%83%16%
3.36
Gail Fong
100W–56L career · 3 lines in 2025
1%87%12%
3.33
3.5
Claudia Dotson San Vicente
3W–2L career · no lines in 2025
1%88%11%
3.33
3.5
Alistair Jeffs
22W–9L career · 1 line in 2025
2%91%8%
3.30
Rohan Agarwal
3W–3L career · no lines in 2025
4%93%4%
3.25
Patrick Harshman
3W–6L career · no lines in 2025
4%93%3%
3.24
Tiffany Truong
5W–26L career · no lines in 2025
6%92%2%
3.22
3.5
Bob Whitaker
15W–30L career · no lines in 2025
7%91%2%
3.21
3.5
Amy Clifford
18W–16L career · no lines in 2025
15%85%1%
3.15
Judy Tanita
8W–13L career · no lines in 2025
17%83%<1%
3.13
Xi Xia
11W–7L career · no lines in 2025
<1%74%26%
2.91
Suzanne Nick
0W–3L career · no lines in 2025
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.