Teams

SFV Singles Ladies

2023 Team Singles 18+ SFV Winter · SFV 18+ Women 3.0 Singles

7 players · average NTRP 3.50 / SO.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 →
Schedule4 played
2023-03-04Won 10
W#3 SinglesMargie Englis vs Sophie Chopra6-0, 6-1
2023-02-04vs SFV The LOBstersWon 10
W#2 SinglesMargie Englis vs Keum Ko6-2, 4-6, 1-0
2023-01-29Lost 01
L#1 SinglesMargie Englis vs Jennifer Williams6-4, 4-6, 0-1
2023-01-07vs SFV The LOBstersWon 10
W#2 SinglesMargie Englis vs Keum Ko6-3, 6-1
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 SFV 18+ Women 3.0 Singles 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 3.01 estimated across 7 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.

3.36
Margie Englis
usually #2 Singles 50%, also #1 Singles 25% · published 3.5
3.27
Mia Babilonia
published
3.15
Sanja Morris
published
3.13
Shani Maymon
published
2.83
Larissa Kazantsev
usually #3 Singles 50%, also #1 Singles 50% · published
2.66
Molly Jackson
published
2.65
Zenaida Siojo
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.

3.5
Margie Englis
169W–111L career · 4 lines in 2023
<1%86%14%
3.36
Mia Babilonia
6W–15L career · no lines in 2023
2%94%4%
3.27
Sanja Morris
2W–1L career · no lines in 2023
12%87%<1%
3.15
Shani Maymon
27W–10L career · no lines in 2023
<1%16%84%
3.13
Larissa Kazantsev
74W–65L career · 2 lines in 2023
1%90%9%
2.83
Molly Jackson
14W–16L career · no lines in 2023
11%88%<1%
2.66
Zenaida Siojo
9W–17L career · no lines in 2023
12%88%<1%
2.65

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.