Teams

SUNNYVALE MTC 18MX8.0F

2023 MIXED 18&Over · 18&Over MX8.0

17 players · average NTRP 4.12 / 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 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 3.64 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.

Aditya Sanghani
published 4.5
Eric Choksi
published 4.5
4.24
Kristine Tan
published
4.05
Matthew Weaver
published
3.87
Wade Conklin
published
3.77
Felicia Tsai
published 4
3.77
Jierong Xue
published
3.66
Raghu Bhat
published
3.62
Wei Han
published
3.56
Wanda Soon
published
3.56
Pegah Seddighian
published
3.52
Max Kwok
published
3.52
Maria Vegas
published
3.40
Janet Lum
published
3.25
Rohan Agarwal
published
3.22
Claudia Chang
published 3.5
Maribel Trees
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.

4.5
Aditya Sanghani
1W–3L career · no lines in 2023
not enough data
4.5
Eric Choksi
0W–1L career · no lines in 2023
not enough data
Kristine Tan
17W–19L career · no lines in 2023
3%94%2%
4.24
Matthew Weaver
10W–7L career · no lines in 2023
<1%35%65%
4.05
Wade Conklin
19W–19L career · no lines in 2023
<1%85%15%
3.87
4
Felicia Tsai
10W–11L career · no lines in 2023
2%94%4%
3.77
Jierong Xue
2W–3L career · no lines in 2023
2%94%4%
3.77
Raghu Bhat
17W–20L career · no lines in 2023
10%89%<1%
3.66
Wei Han
11W–30L career · no lines in 2023
19%81%<1%
3.62
Wanda Soon
0W–9L career · no lines in 2023
31%69%<1%
3.56
Pegah Seddighian
11W–13L career · no lines in 2023
33%67%<1%
3.56
Max Kwok
11W–12L career · no lines in 2023
<1%44%56%
3.52
Maria Vegas
26W–35L career · no lines in 2023
44%55%<1%
3.52
Janet Lum
5W–14L career · no lines in 2023
<1%78%22%
3.40
Rohan Agarwal
3W–3L career · no lines in 2023
3%95%3%
3.25
3.5
Claudia Chang
0W–5L career · type M · no lines in 2023
5%94%2%
3.22
Maribel Trees
0W–2L 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.