Teams

SFV-Spin-Offs 3.0-Tesoro-CSUN

2025 Team Singles 18 SFV Fall · SFV 18+ Women 3.0 Singles

14 players · average NTRP 3.12 / 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
2025-12-14vs SFV Ace High-Kim-Scholl/KimWon 20
W#1 SinglesShani Maymon vs Jane Shin6-0, 6-0
W#2 SinglesTisha San Miguel vs Claire Torok7-5, 6-3
2025-12-07vs SFV Talmadge-ElCaballeroWon 20
W#1 SinglesCecilia Lam vs Alik Apelian6-1, 6-1
W#2 SinglesTisha San Miguel vs Rebecca Kogen6-1, 6-1
W#1 SinglesAmy Chozick vs Cindy Emanuel6-2, 6-3
L#2 SinglesAngie Wu vs Tressa M Dhiab3-6, 4-6
W#3 SinglesWendy Magdlen vs Rona Steinberg6-3, 4-6, 1-0
2025-10-26vs SFV Love All-Bowen-Toluca LakeWon 20
W#1 SinglesShani Maymon vs Anna Bowen6-2, 6-3
W#2 SinglesSusanna Lovell vs Ann Garrett6-1, 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 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 3.00 estimated across 12 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.

3.27
Angelina Snyder
usually #1 Singles 100% · published 3.5
3.24
Michelle Tesoro
published
3.22
Kay Cannon
published
3.16
Kathleen Hipps
usually #1 Singles 50%, also #2 Singles 50% · published 3.5
3.13
Shani Maymon
usually #1 Singles 100% · published
3.06
Nichole Burston
usually #3 Singles 50%, also #1 Singles 50% · published 3
2.91
Doree Shafrir
usually #2 Singles 67%, also #1 Singles 33% · published 3
2.89
Amy Chozick
usually #1 Singles 100% · published 3
2.86
Tisha San Miguel
usually #2 Singles 100% · published
2.83
Susanna Lovell
usually #2 Singles 100% · published
Cecilia Lam
usually #1 Singles 100% · published 3
2.74
Angie Wu
usually #2 Singles 100% · published 3
2.73
Andrea Bardack
published 3
Wendy Magdlen
usually #3 Singles 100% · 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
Angelina Snyder
123W–68L career · 1 line in 2025
3%92%5%
3.27
Michelle Tesoro
25W–17L career · no lines in 2025
<1%4%96%
3.24
Kay Cannon
12W–7L career · no lines in 2025
6%92%2%
3.22
3.5
Kathleen Hipps
78W–38L career · 2 lines in 2025
12%87%1%
3.16
Shani Maymon
27W–10L career · 2 lines in 2025
<1%17%83%
3.13
3
Nichole Burston
44W–38L career · 2 lines in 2025
<1%33%67%
3.06
3
Doree Shafrir
93W–72L career · 3 lines in 2025
<1%74%26%
2.91
3
Amy Chozick
12W–9L career · 1 line in 2025
<1%78%22%
2.89
Tisha San Miguel
9W–7L career · 2 lines in 2025
1%84%16%
2.86
Susanna Lovell
14W–12L career · 1 line in 2025
1%88%11%
2.83
3
Cecilia Lam
3W–0L career · 1 line in 2025
not enough data
3
Angie Wu
7W–26L career · 1 line in 2025
4%93%3%
2.74
3
Andrea Bardack
8W–12L career · no lines in 2025
5%92%3%
2.73
Wendy Magdlen
2W–2L career · 1 line 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.