Teams

LA - Shadow's Aces

2023 USTA MxD 18 & Over - LA · LA - 7.0 Mixed Doubles

15 players · average NTRP 3.70 / 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
2023-02-26vs LA - Perfect 10sLost 01
L#1 DoublesAlexandra Miller / Keane Tarrosa vs VICKY TRINH / Bijan Pourhamzeh7-6, 2-6, 0-1
2023-02-18vs LA - LATCWon 10
W#2 DoublesAllison Langus / Keane Tarrosa vs Denise Gocke / Vincent Carolan-Foster6-4, 6-4
2023-02-04vs LA - Mulholland MixedWon 10
W#1 DoublesAllison Langus / Keane Tarrosa vs Heidi Wettenhall / Seth Rubin6-4, 6-4
2023-01-21vs LA - Over ServedLost 01
L#3 DoublesAlexandra Miller / Keane Tarrosa vs Jenny Ratkovich / Matt Orlando4-6, 1-6
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 - 7.0 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 3.33 estimated across 10 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.

3.81
Keane Tarrosa
usually #1 Doubles 50%, also #3 Doubles 25% · published 4
3.65
Daniel Kanemoto
published 4
3.45
Michelle Crossman
published
3.32
Stacey Zhao
published
3.29
Ashley Louie
published 3.5
3.26
Simon Lim
published
Cheryl Wei
published 3.5
3.20
James Shin
published
3.15
Allison Langus
published 3.5
3.09
Maria Starn
published
3.05
Mia Babilonia
published
Kaleigh Malloy
published
Lloyd Liang
published
Nicholas Ortega
published
Tina Jackson
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.

Nicholas Ortega + Mia Babilonia033 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.

4
Keane Tarrosa
95W–59L career · 4 lines in 2023
1%90%8%
3.81
4
Daniel Kanemoto
22W–13L career · no lines in 2023
14%85%1%
3.65
Michelle Crossman
6W–2L career · no lines in 2023
<1%<1%>99%
3.45
Stacey Zhao
2W–2L career · no lines in 2023
<1%1%99%
3.32
3.5
Ashley Louie
18W–19L career · no lines in 2023
2%92%6%
3.29
Simon Lim
11W–6L career · no lines in 2023
3%92%4%
3.26
3.5
Cheryl Wei
2W–0L career · no lines in 2023
not enough data
James Shin
4W–2L career · no lines in 2023
7%91%2%
3.20
3.5
Allison Langus
4W–5L career · no lines in 2023
14%85%1%
3.15
Maria Starn
3W–6L career · no lines in 2023
27%73%<1%
3.09
Mia Babilonia
6W–15L career · no lines in 2023
0%<1%>99%
3.05
Kaleigh Malloy
1W–4L career · no lines in 2023
not enough data
Lloyd Liang
1W–3L career · no lines in 2023
not enough data
Nicholas Ortega
1W–6L career · no lines in 2023
not enough data
Tina Jackson
1W–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.