Teams

FREMONT TC 18MX6.0A

2025 MIXED 18&Over · 18&Over MX6.0

22 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
W#2 DoublesKulvinder Singh / Renisa Satrijo vs Vikas Mahajan / Ellen Zapalac6-1, 6-2
W#2 DoublesKulvinder Singh / Rosemary Go vs Ryan Rosete / Jaclyn Rosete6-3, 6-3
2025-01-07vs DIABLO CC 18MX6.0AWon 10
W#2 DoublesKulvinder Singh / Renisa Satrijo vs Richard Forgham / Sara Parr7-6, 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 MX6.0 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 3.14 estimated across 19 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.

3.91
Nand Jha
published
3.45
Kulvinder Singh
usually #2 Doubles 100% · published 3.5
3.44
Padmakiran K S
published
3.44
Arun Ramani
published 3.5
3.36
Richard Zhao
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.26
Prathap Kudupu
published
Govind Duddi
published 3.5
3.24
Kausik Misra
published
3.22
Mimi Fichter
published
3.20
Kanchan Patalay
published
3.07
You Li
published
3.06
Gulshan Kharbanda
published 3.5
3.04
Yang Yang
published
3.00
Ann Kerdchonphet
published 3
2.98
Maryam Sanaei
published
2.97
Renisa Satrijo
published
2.86
Rosemary Go
published
2.83
Sandra Ballestrasse
published
2.80
Molly Nam
published
2.59
Kim Bespaly
published
Vikas Shah
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.

Nand Jha
33W–5L career · no lines in 2025
<1%76%24%
3.91
4
ARUNKUMAR VIJAYAKUMAR
1W–2L career · no lines in 2025
not enough data
3.5
Kulvinder Singh
107W–33L career · 3 lines in 2025
<1%64%36%
3.45
Padmakiran K S
18W–14L career · no lines in 2025
<1%67%33%
3.44
3.5
Arun Ramani
12W–3L career · no lines in 2025
<1%68%32%
3.44
Richard Zhao
15W–11L career · 2 lines in 2025
<1%86%14%
3.36
Prathap Kudupu
21W–25L career · no lines in 2025
2%95%3%
3.26
3.5
Govind Duddi
3W–0L career · no lines in 2025
not enough data
Kausik Misra
7W–6L career · no lines in 2025
3%95%2%
3.24
Mimi Fichter
36W–18L career · no lines in 2025
5%94%2%
3.22
Kanchan Patalay
9W–17L career · no lines in 2025
6%93%1%
3.20
You Li
10W–6L career · no lines in 2025
<1%28%72%
3.07
3.5
Gulshan Kharbanda
7W–9L career · type A · no lines in 2025
32%68%<1%
3.06
Yang Yang
23W–7L career · no lines in 2025
<1%36%64%
3.04
3
Ann Kerdchonphet
35W–11L career · no lines in 2025
<1%48%52%
3.00
Maryam Sanaei
29W–28L career · no lines in 2025
<1%55%45%
2.98
Renisa Satrijo
8W–21L career · no lines in 2025
59%41%<1%
2.97
Rosemary Go
24W–9L career · no lines in 2025
<1%85%14%
2.86
Sandra Ballestrasse
16W–21L career · no lines in 2025
1%90%9%
2.83
Molly Nam
13W–15L career · no lines in 2025
1%93%6%
2.80
Kim Bespaly
28W–23L career · no lines in 2025
0%23%77%
2.59
Vikas Shah
5W–11L 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.