Teams

LA-LLW- Acing Gracefully-David Castillo

2021 USTA MxD 40 & Over - LA · LA - 9.0 Mixed Doubles

12 players · average NTRP 4.33 / 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 →
Schedule5 played
2021-06-13vs LA - Tennis AcademyLost 02
L#1 DoublesLeticia Alcala / Shao Chen vs Brigitte Champion / Daniel Soto4-6, 3-6
L#3 DoublesDavid Castillo / Lorna Kim vs Victor Champion / Serena Davis5-7, 3-6
2021-06-06vs LA - Tennis AcademySplit 11
W#1 DoublesApril Hartstein / Robert Birmingham vs Christine Lee / Corey Evett6-3, 6-1
L#2 DoublesLorna Kim / Ivan Salazar vs Brigitte Champion / Daniel Soto4-6, 7-5, 0-1
2021-05-16vs LA - Tennis AcademyLost 01
L#2 DoublesApril Hartstein / David Castillo vs Darcy Simon / Edward Wedding3-1
2021-05-08vs LA - Tennis AcademyWon 10
W#2 DoublesLeticia Alcala / Shao Chen vs Geraldine Brantley / Tom Rettenmaier6-2, 6-3
2021-05-02Won 10
W#2 DoublesApril Hartstein / David Castillo vs Dee Williams-Horne / Tom Rettenmaier7-5, 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 LA - 9.0 Mixed Doubles 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 4.08 estimated across 8 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.

4.62
Leticia Alcala
usually #2 Doubles 50%, also #1 Doubles 50% · published 5
4.35
JB Bauersfeld
published 4.5
4.30
April Hartstein
usually #2 Doubles 67%, also #1 Doubles 33% · published 4.5
4.24
Ivan Salazar
published 4.5
4.20
Jennifer Day
published
4.04
Mary Soto
published
3.70
Lorna Kim
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
3.16
Gus Batista
published 3.5
Lori Pedraza
published
Robert Birmingham
published
Shao Chen
published
Thomas Hill
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.

April Hartstein + Leticia Alcala6459% games+3.8% vs expected
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.

5
Leticia Alcala
160W–102L career · 2 lines in 2021
19%81%<1%
4.62
4.5
JB Bauersfeld
2W–8L career · type S · no lines in 2021
<1%88%12%
4.35
4.5
April Hartstein
227W–139L career · 3 lines in 2021
1%93%6%
4.30
4.5
Ivan Salazar
3W–3L career · no lines in 2021
3%95%2%
4.24
Jennifer Day
23W–14L career · no lines in 2021
6%93%1%
4.20
Mary Soto
3W–5L career · no lines in 2021
37%63%<1%
4.04
4
Lorna Kim
210W–162L career · 2 lines in 2021
6%93%1%
3.70
3.5
Gus Batista
2W–2L career · type A · no lines in 2021
10%89%<1%
3.16
Lori Pedraza
2W–0L career · no lines in 2021
not enough data
Robert Birmingham
4W–4L career · no lines in 2021
not enough data
Shao Chen
2W–0L career · no lines in 2021
not enough data
Thomas Hill
0W–1L career · no lines in 2021
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.