Teams

LA - Canyon Coyotes 3.5

2023 SoCal Doubles - LA · LA - Women 3.5

18 players · average NTRP 3.43 / SO.CALIFORNIA

View scouting list →
Schedule2 played
2023-12-02vs LA - Wise AcesLost 01
L#3 DoublesNataliya Padilla / Patricia Francisco vs Ralitsa Davis / Sanaz Ossanloo0-6, 2-6
2023-11-19Won 10
W#3 DoublesNataliya Padilla / Patricia Francisco vs N/A6-0, 6-0
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 LA - Women 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 3.15 estimated across 15 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.

3.70
Yasmina Mekouar
published
3.59
Christine Russell
published 3.5
3.51
Shelly Cohen
published
3.36
Joy Cho
published
3.31
Catie Langston
published 3.5
Cat Krudy
published 3.5
3.22
Jessica Abroms
published
3.21
Nadine Ellman
published
3.17
Jasmin Miller
published
3.17
Nataliya Padilla
usually #3 Doubles 100% · published 3.5
3.03
Andrea Hutchman
published 3.5
3.03
Jenny Yoo
published
2.95
Michelle Fowler
published
2.77
Carolyn Sims
published 3
2.68
Susan Mondt
published
2.50
Patricia Francisco
published
Margarita Frame
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.

Joy Cho + Jasmin Miller9359% games+5.5% vs expected
Jasmin Miller + Catie Langston123 matchesnot 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.

Yasmina Mekouar
2W–4L career · no lines in 2023
6%93%1%
3.70
3.5
Christine Russell
51W–20L career · no lines in 2023
<1%24%76%
3.59
Shelly Cohen
28W–10L career · no lines in 2023
<1%46%54%
3.51
Joy Cho
37W–17L career · no lines in 2023
<1%86%14%
3.36
3.5
Catie Langston
10W–6L career · no lines in 2023
1%92%7%
3.31
3.5
Ashley-Brooke Sandall
1W–1L career · no lines in 2023
not enough data
3.5
Cat Krudy
7W–1L career · no lines in 2023
not enough data
Jessica Abroms
14W–13L career · no lines in 2023
4%94%2%
3.22
Nadine Ellman
5W–5L career · no lines in 2023
5%94%1%
3.21
Jasmin Miller
27W–15L career · no lines in 2023
9%90%1%
3.17
3.5
Nataliya Padilla
60W–77L career · 2 lines in 2023
9%90%1%
3.17
3.5
Andrea Hutchman
3W–14L career · no lines in 2023
40%60%<1%
3.03
Jenny Yoo
1W–5L career · no lines in 2023
40%60%<1%
3.03
Michelle Fowler
3W–13L career · no lines in 2023
65%35%<1%
2.95
3
Carolyn Sims
5W–2L career · no lines in 2023
2%94%4%
2.77
Susan Mondt
10W–13L career · no lines in 2023
8%91%1%
2.68
Patricia Francisco
8W–9L career · no lines in 2023
50%50%<1%
2.50
Margarita Frame
2W–0L career · no lines in 2023
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.