Teams

SUNNYVALE TC/SUNNYVALE MTC 18AM3.5B

2025 ADULT 18&Over · Men's 3.5

20 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 →
Schedule1 played
2025-04-26vs GLTF/SAN FRAN ST U 18AM3.5CWon 10
W#2 DoublesManan Patel / Michael Hsu vs Tony Huynh / Brian Gomola6-2, 6-2
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 Men's 3.5 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.

3.67
Jair Saavedra
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.63
Paul Kwon
published
3.61
Frank Lai
usually #3 Doubles 100% · published
3.58
Sergey Baranov
published
3.53
Benjamin Pool
published 3.5
3.44
Mahesh Vencata
published
3.44
Ranjit Castelino
published
3.42
William Africa
published
3.37
Behshad Farahmand
published 3.5
3.33
Eyal Ron
published
3.31
Manan Patel
usually #2 Doubles 100% · published
3.28
Kiran Ramamurthy
published
3.22
Cory Caouette
published 3.5
3.22
Margabandu Thandavarayan
usually #2 Singles 50%, also #1 Singles 50% · published
3.19
Drew Xia
published
3.18
Dustin Defrank
published
3.18
Matt Brunnings
published
3.13
Xiaotong Sun
usually #1 Singles 40%, also #2 Doubles 20% · published
3.10
David Lucas
published 3.5
3.06
Lou Salvador
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.

Jair Saavedra
16W–16L career · 2 lines in 2025
<1%11%89%
3.67
Paul Kwon
24W–16L career · no lines in 2025
19%81%<1%
3.63
Frank Lai
10W–10L career · 3 lines in 2025
22%78%<1%
3.61
Sergey Baranov
13W–3L career · no lines in 2025
<1%29%71%
3.58
3.5
Benjamin Pool
13W–5L career · no lines in 2025
<1%42%58%
3.53
Mahesh Vencata
4W–0L career · no lines in 2025
<1%66%34%
3.44
Ranjit Castelino
6W–7L career · no lines in 2025
<1%66%34%
3.44
William Africa
16W–14L career · no lines in 2025
<1%70%30%
3.42
3.5
Behshad Farahmand
8W–1L career · no lines in 2025
<1%83%17%
3.37
Eyal Ron
11W–5L career · no lines in 2025
1%88%11%
3.33
Manan Patel
32W–16L career · 1 line in 2025
1%90%9%
3.31
Kiran Ramamurthy
3W–2L career · no lines in 2025
2%92%5%
3.28
3.5
Cory Caouette
11W–7L career · no lines in 2025
6%92%2%
3.22
Margabandu Thandavarayan
5W–9L career · 2 lines in 2025
6%92%2%
3.22
Drew Xia
8W–10L career · no lines in 2025
8%90%1%
3.19
Dustin Defrank
1W–3L career · no lines in 2025
9%89%1%
3.18
Matt Brunnings
2W–1L career · no lines in 2025
10%89%1%
3.18
Xiaotong Sun
9W–2L career · 5 lines in 2025
18%82%<1%
3.13
3.5
David Lucas
6W–10L career · no lines in 2025
23%76%<1%
3.10
Lou Salvador
28W–22L career · no lines in 2025
34%65%<1%
3.06

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.