Teams

V - LLW Nice Aces-Lee Tsai

2023 SoCal Mixed Tri-Level 18 &Over · Ventura - Mixed 4.0

9 players · average NTRP 3.75 / 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
2023-10-29Won 10
W#3 DoublesSara Miller / Artin Davodian vs Marie Robinson / David Gallacher6-0, 6-0
2023-10-22vs V - Pepperdine WavesWon 20
W#1 DoublesStefanie Wah / Stephen Nettelhorst vs Lisa Cislo / JJ Lask6-0, 6-0
W#2 DoublesSanaz Ossanloo / Lee Tsai vs Nancy Kong / Yang Hao6-1, 6-0
2023-10-09vs V - Sunset Tri Your BestWon 10
W#1 DoublesJanet Fang-Putinier / Stephen Nettelhorst vs Deanna Romero / Cory Rodrigues6-3, 6-1
2023-10-07vs V - Pepperdine WavesWon 20
W#1 DoublesJanet Fang-Putinier / Stephen Nettelhorst vs Lisa Cislo / Louis Werman6-0, 6-2
W#3 DoublesSara Miller / Artin Davodian vs Wendy Nickerson / David Gallacher6-1, 6-0
2023-09-20vs V - Sunset Tri Your BestWon 20
W#1 DoublesJanet Fang-Putinier / Stephen Nettelhorst vs Emily Hickey / Cory Rodrigues6-2, 7-6
W#2 DoublesAnnik Bogharian / Lee Tsai vs Dana Lawrence / Fuat Doymaz6-1, 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 Ventura - Mixed 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 3.66 estimated across 7 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.

4.06
Janet Fang-Putinier
usually #1 Doubles 100% · published 4
4.03
Stephen Nettelhorst
usually #1 Doubles 57%, also #2 Doubles 43% · published 4
3.73
Annik Bogharian
published 4
3.64
Artin Davodian
usually #3 Doubles 100% · published 3.5
3.45
Michelle Halpern
published
3.39
Stefanie Wah
published 3.5
3.31
Lee Tsai
usually #2 Doubles 100% · published 3.5
RUBEN SIMON
published
Sanaz Ossanloo
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.

Stefanie Wah + Stephen Nettelhorst8355% gamesnot enough data
Lee Tsai + Sanaz Ossanloo134 matchesnot enough data
Janet Fang-Putinier + Stephen Nettelhorst303 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
Janet Fang-Putinier
144W–70L career · 3 lines in 2023
<1%33%67%
4.06
4
Stephen Nettelhorst
157W–52L career · 7 lines in 2023
<1%41%59%
4.03
4
Annik Bogharian
4W–1L career · no lines in 2023
4%94%2%
3.73
3.5
Artin Davodian
167W–59L career · 2 lines in 2023
<1%14%86%
3.64
Michelle Halpern
25W–9L career · no lines in 2023
<1%65%35%
3.45
3.5
Stefanie Wah
149W–129L career · no lines in 2023
<1%80%20%
3.39
3.5
Lee Tsai
212W–155L career · 2 lines in 2023
1%92%7%
3.31
RUBEN SIMON
0W–1L career · no lines in 2023
not enough data
Sanaz Ossanloo
2W–4L 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.