Teams

SoCal/Herrera/Mixed18&Over9.0

2024 Mixed Doubles 18 & Over Winter - SD · SD - 9.0

10 players · average NTRP 4.40 / SAN DIEGO

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Schedule8 played
2024-03-30vs SD 9.0 UCRC/ SeelingerSplit 11
W#1 DoublesNik Speshilov / Ifunanya Aniefuna vs Andrew Tek / Madalyn Moore6-2, 6-3
L#3 DoublesHoang Kim Truong / Sherr Aquino vs Will Garber / Ana Seelinger1-6, 1-6
2024-03-16vs SD 9.0 Mtn View/ YngsonLost 01
L#2 DoublesHoang Kim Truong / Sherr Aquino vs Guadalupe Rendon / Ryan Kiok2-6, 1-6
2024-03-09vs SD 9.0 UCRC/ SeelingerWon 10
W#2 DoublesSeth Kim / Fabiola Flores vs Caroline Emhardt / Andrew Ma6-3, 3-6, 1-0
2024-02-24vs SD 9.0 Peninsula TC/ HagopianWon 10
W#2 DoublesIfunanya Aniefuna / Andrew Hu vs Alison Hagopian / John Simmons6-1, 6-2
2024-02-10vs SD 9.0 Peninsula TC/ HagopianWon 10
W#2 DoublesSeth Kim / Fabiola Flores vs Sarina Lynn / Bryan Barley7-5, 6-1
2024-02-03vs SD 9.0 UCRC/ RidgeWon 10
W#3 DoublesFabiola Flores / Seth Kim vs Beth Sharratt / Eric Jew7-6, 6-2
2024-01-27vs SD 9.0 UCRC/ RidgeLost 01
L#3 DoublesFabiola Flores / Enrique Alvarez vs Beth Sharratt / Donald McLeod1-6, 2-6
2024-01-06vs SD 9.0 Pacific Beach TC/ ParkWon 10
W#3 DoublesLorenzo Herrera / Fabiola Flores vs Caroline Bhupathi / Will Mauriz6-3, 6-4
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 SD - 9.0 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 4.16 estimated across 6 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.

4.40
Ifunanya Aniefuna
usually #2 Doubles 50%, also #1 Doubles 50% · published 4.5
4.29
Cynthia Herrera
published 4.5
4.28
Andrew Hu
published 4.5
4.09
Fabiola Flores
usually #3 Doubles 60%, also #2 Doubles 40% · published 4.5
4.01
Sherr Aquino
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
3.89
Hoang Kim Truong
published
Lorenzo Herrera
published
Nik Speshilov
published
Tommy West
published
Weng Si Leong
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.

Lorenzo Herrera + Cynthia Herrera303 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.

4.5
Ifunanya Aniefuna
31W–14L career · 2 lines in 2024
<1%76%23%
4.40
4.5
Cynthia Herrera
14W–11L career · no lines in 2024
2%91%7%
4.29
4.5
Andrew Hu
3W–2L career · type S · no lines in 2024
2%92%6%
4.28
4.5
Fabiola Flores
125W–102L career · 5 lines in 2024
27%73%<1%
4.09
4
Sherr Aquino
101W–98L career · 2 lines in 2024
<1%46%54%
4.01
Hoang Kim Truong
7W–5L career · no lines in 2024
<1%78%22%
3.89
Lorenzo Herrera
11W–11L career · no lines in 2024
not enough data
Nik Speshilov
2W–1L career · no lines in 2024
not enough data
Tommy West
8W–6L career · no lines in 2024
not enough data
Weng Si Leong
1W–0L career · no lines in 2024
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.