Teams

SUNNYVALE TC/SUNNYVALE MTC 18MX8.0E

2025 MIXED 18&Over · 18&Over MX8.0

20 players · average NTRP 3.94 / 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 →
Schedule2 played
2025-02-16vs SUNNYVALE TC/SUNNYVALE MTC 18MX8.0ASplit 11
W#1 DoublesOctavio Farfan / Janet Lum vs Joany Gao / Kuan Chang7-6, 6-1
L#3 DoublesWanda Soon / Deepak Chotrani vs Joanne Lofthouse / Chris Ling7-6, 5-7, 1-0
2025-02-02Lost 01
L#2 DoublesAbhinav Rana / Wanda Soon vs Veeraya Pupatwibul / Andrew Liu0-6, 4-6
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 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 3.56 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.

Aditya Sanghani
usually #3 Doubles 50%, also #2 Doubles 50% · published 4.5
4.01
Bin Feng
usually #2 Doubles 100% · published 4
3.86
Abhinav Rana
usually #2 Doubles 100% · published 4
3.81
Deepak Chotrani
usually #3 Doubles 100% · published 4
Arren Smoot
usually #1 Doubles 100% · published 4
3.65
Susan Gibson
published
3.64
Anna Fung
published 4
3.63
Wei Han
published
3.61
Jahyong Kuh
published
3.60
Raghu Bhat
published
3.58
Katja Gagen
published
3.56
Octavio Farfan
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.53
Maria Vegas
usually #1 Doubles 100% · published
3.48
Max Kwok
published
3.48
Wanda Soon
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.41
Janet Lum
usually #1 Doubles 100% · published
3.34
Lora Saarnio
published
3.22
Claudia Chang
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.13
Barbara Westergren
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 · 2 lines in 2025
not enough data
4
Bin Feng
37W–12L career · 1 line in 2025
<1%46%54%
4.01
4
Abhinav Rana
2W–2L career · 1 line in 2025
<1%83%16%
3.86
4
Deepak Chotrani
6W–5L career · 1 line in 2025
1%90%9%
3.81
4
Arren Smoot
1W–2L career · 1 line in 2025
not enough data
Susan Gibson
4W–5L career · no lines in 2025
14%85%1%
3.65
4
Anna Fung
2W–7L career · no lines in 2025
17%83%<1%
3.64
Wei Han
11W–30L career · no lines in 2025
18%81%<1%
3.63
Jahyong Kuh
9W–15L career · no lines in 2025
22%78%<1%
3.61
Raghu Bhat
18W–21L career · no lines in 2025
23%77%<1%
3.60
Katja Gagen
36W–11L career · no lines in 2025
<1%27%73%
3.58
Octavio Farfan
19W–18L career · 3 lines in 2025
34%66%<1%
3.56
Maria Vegas
27W–36L career · 1 line in 2025
41%59%<1%
3.53
Max Kwok
11W–12L career · no lines in 2025
<1%56%43%
3.48
Wanda Soon
0W–9L career · 2 lines in 2025
57%43%<1%
3.48
Janet Lum
5W–14L career · 1 line in 2025
<1%73%27%
3.41
Lora Saarnio
3W–9L career · no lines in 2025
88%12%<1%
3.34
3.5
Claudia Chang
0W–6L career · type M · 2 lines in 2025
6%92%2%
3.22
3.5
Barbara Westergren
6W–17L career · no lines in 2025
17%83%<1%
3.13
Maribel Trees
0W–2L 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.