Teams

FREMONT TC 18MX7.0A

2024 MIXED 18&Over · 18&Over MX7.0

17 players · average NTRP 3.65 / 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
2024-03-04Won 10
W#1 DoublesAlicia Barco / Nimesh Gandhi vs David Ly / Cheri Russell6-2, 7-5
2024-01-27Lost 01
L#3 DoublesAlicia Barco / Edison Barco vs Sam Li / Amy Li0-6, 0-6
2024-01-14Lost 01
L#3 DoublesAlicia Barco / Edison Barco vs Adrianna Lugo / Jesse Wang1-6, 3-6
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 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 3.41 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.

3.92
Ekow Taylor
published 4.5
3.89
3.77
Evan Wong
published 4
3.63
Paul Kwon
published
3.58
Yemia Hashimoto
published
3.57
Mai Pham
published
3.56
Judy Halper
published
3.46
Diem Nguyen
published 3.5
3.36
Nimesh Gandhi
usually #2 Doubles 43%, also #3 Doubles 43% · published 3.5
3.34
Haewon Kwon
published 3.5
3.27
Edison Barco
published 3.5
3.26
Alicia Barco
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.23
Harshal Kulkarni
published 3.5
3.19
Swina Sapkota
published
3.07
Lou Salvador
published
2.94
Audrey Schroeder
published 3
2.89
Maria Debenedetti
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Alicia Barco + Nimesh Gandhi7453% gamesnot enough data
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
Ekow Taylor
3W–3L career · no lines in 2024
72%28%<1%
3.92
4
Balachandra Rangaswamy
33W–12L career · no lines in 2024
<1%81%19%
3.89
4
Evan Wong
20W–14L career · no lines in 2024
2%94%4%
3.77
Paul Kwon
23W–15L career · no lines in 2024
15%85%<1%
3.63
Yemia Hashimoto
35W–35L career · no lines in 2024
<1%26%74%
3.58
Mai Pham
37W–9L career · no lines in 2024
<1%29%71%
3.57
Judy Halper
12W–14L career · no lines in 2024
33%67%<1%
3.56
3.5
Diem Nguyen
25W–15L career · no lines in 2024
<1%61%39%
3.46
3.5
Nimesh Gandhi
147W–82L career · 7 lines in 2024
<1%85%14%
3.36
3.5
Haewon Kwon
44W–9L career · no lines in 2024
<1%89%10%
3.34
3.5
Edison Barco
13W–11L career · no lines in 2024
2%94%4%
3.27
3.5
Alicia Barco
78W–66L career · 3 lines in 2024
2%95%3%
3.26
3.5
Harshal Kulkarni
5W–11L career · no lines in 2024
4%94%2%
3.23
Swina Sapkota
20W–17L career · no lines in 2024
7%92%1%
3.19
Lou Salvador
27W–22L career · no lines in 2024
28%71%<1%
3.07
3
Audrey Schroeder
9W–11L career · no lines in 2024
<1%68%32%
2.94
Maria Debenedetti
29W–10L career · no lines in 2024
<1%80%19%
2.89

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.