Teams

OC Coto De Caza - Roxanne-Sun 10

2023 OC Tri-Level Mixed · WE 5.0 - 4.5 - 4.0

14 players · average NTRP 4.33 / SO.CALIFORNIA

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Schedule4 played
2023-10-28vs OC- LLW NBTC - Christina Sat2Won 10
W#2 DoublesAlyse Mastropolo / Ajay Ahluwalia vs Daniel Tat / Kari Keese2-6, 7-6, 1-0
2023-09-03Lost 01
L#3 DoublesAlyse Mastropolo / Eric Kitei vs Stephanie Tat / Christopher Contreras3-6, 3-6
2023-08-13vs OC- LLW NBTC - Christina Sat2Won 10
W#3 DoublesAlyse Mastropolo / Shawn Braun vs Richard Bennett / Katie Huyen7-6, 3-6, 1-0
2023-07-16vs OC- LLW NBTC - Christina Sat2Split 11
L#2 DoublesShawn Braun / Alexis Braun vs Brian Lee / TRAM LY0-6, 1-6
W#3 DoublesAlyse Mastropolo / Kevin Schwab vs Michael McGee / Lindsay Miller4-6, 6-3, 1-0
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 WE 5.0 - 4.5 - 4.0 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 4.20 estimated across 9 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.

4.74
Roxanne Ellison
published
4.65
Ajay Ahluwalia
published 5
4.48
Alexis Braun
published 4.5
4.34
Andrea Kozak
published 4.5
4.18
Nikki Fermin
published
4.17
Taylor Burke
published
3.95
Alyse Mastropolo
usually #3 Doubles 75%, also #2 Doubles 25% · published 4
3.78
Ulrike Leivici
published
Eric Kitei
published 4
3.52
Amal Fatehi
published 4
Kevin Schwab
published
Peter Wernemar
published
Shawn Braun
usually #2 Doubles 50%, also #3 Doubles 50% · published
William Diaz
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.

Alyse Mastropolo + Shawn Braun5059% 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.

Roxanne Ellison
3W–1L career · no lines in 2023
3%94%2%
4.74
5
Ajay Ahluwalia
7W–3L career · no lines in 2023
13%87%<1%
4.65
4.5
Alexis Braun
7W–1L career · type S · no lines in 2023
<1%55%44%
4.48
4.5
Andrea Kozak
7W–8L career · type S · no lines in 2023
<1%89%11%
4.34
Nikki Fermin
6W–5L career · no lines in 2023
9%91%1%
4.18
Taylor Burke
5W–2L career · no lines in 2023
10%89%1%
4.17
4
Alyse Mastropolo
29W–17L career · 4 lines in 2023
<1%64%36%
3.95
Ulrike Leivici
9W–5L career · no lines in 2023
1%94%5%
3.78
4
Eric Kitei
1W–1L career · no lines in 2023
not enough data
4
Amal Fatehi
0W–4L career · type S · no lines in 2023
45%55%<1%
3.52
Kevin Schwab
1W–0L career · no lines in 2023
not enough data
Peter Wernemar
1W–1L career · no lines in 2023
not enough data
Shawn Braun
33W–26L career · 2 lines in 2023
not enough data
William Diaz
0W–1L 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.