Teams

SFV LLW - Nice Aces - Lee Tsai

2022 Mixed Tri-Level 18+ SFV · SFV Tri-Level Mixed 3.0-4.0

14 players · average NTRP 3.58 / 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 →
Schedule6 played
2022-11-19vs SFV - Pure DriveWon 10
W#1 DoublesStefanie Wah / Stephen Nettelhorst vs Wangie Pineda / Marcos Sevilla6-3, 6-1
2022-11-05vs SFV - Get A GripWon 21
W#1 DoublesAni Aratounians / RIO NINO GOMEZ vs Robin Hittelman / David Hittelman6-2, 6-2
L#2 DoublesSanaz Ossanloo / Lee Tsai vs Jennifer Lerner / Danny Lerner4-6, 4-6
W#3 DoublesMelissa Jansson / Ali Tofighi vs Kelly Fredrickson / John Valentine6-3, 7-5
2022-10-30vs SFV - Paseo RanchersWon 30
W#1 DoublesAni Aratounians / RIO NINO GOMEZ vs Julianne Wood / David Chang6-0, 6-3
W#2 DoublesMichelle Halpern / Lee Tsai vs Miriam Golbert / Jeffrey Pollard7-5, 6-2
W#3 DoublesMelissa Jansson / Artin Davodian vs Lina Gomez / Oscar Golbert6-1, 6-1
2022-10-23vs SFV - Triple TroubleWon 20
W#1 DoublesStefanie Wah / Jared Mano vs Kathrina Cruz / Edmond Avedisian6-3, 3-6, 1-0
W#3 DoublesVeronica Garcia / Artin Davodian vs Molly Jackson / Ola Heum6-1, 6-1
2022-10-02vs SFV - Tri Purple WarriorsSplit 11
W#1 DoublesAni Aratounians / Jared Mano vs Danielle Newman / Gabe Wainfeld6-2, 6-1
L#3 DoublesMelissa Jansson / Manny Kreitenberg vs Nichole Burston / Roger Hance1-6, 7-6, 0-1
2022-09-10vs SFV - Love HandlesWon 20
W#1 DoublesStefanie Wah / Stephen Nettelhorst vs Ellie Wingo / Terry Wingo6-3, 6-0
W#3 DoublesVeronica Garcia / Artin Davodian vs Grace Gillham / David Gillham6-0, 7-5
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 SFV Tri-Level Mixed 3.0-4.0 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 3.45 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.

4.03
Stephen Nettelhorst
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.97
Jared Mano
usually #1 Doubles 100% · published
3.64
Artin Davodian
usually #3 Doubles 100% · published 3.5
3.45
Michelle Halpern
published
3.42
Jose MacKinney
published
3.39
Stefanie Wah
usually #1 Doubles 57%, also #2 Doubles 43% · published 3.5
3.35
Ani Aratounians
usually #1 Doubles 100% · published 4
3.31
Lee Tsai
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.08
Tammy Scher
published
2.84
Melissa Jansson
usually #3 Doubles 100% · published 3
RIO NINO GOMEZ
published
RUBEN SIMON
published
Sanaz Ossanloo
published
Veronica Garcia
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
Ani Aratounians + Stephen Nettelhorst314 matchesnot enough data
Lee Tsai + Sanaz Ossanloo134 matchesnot enough data
Melissa Jansson + Artin Davodian404 matchesnot enough data
Melissa Jansson + Stephen Nettelhorst404 matchesnot enough data
Jared Mano + Melissa Jansson303 matchesnot enough data
Melissa Jansson + Jose MacKinney213 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
Stephen Nettelhorst
157W–52L career · 6 lines in 2022
<1%41%59%
4.03
Jared Mano
91W–52L career · 2 lines in 2022
<1%60%40%
3.97
3.5
Artin Davodian
167W–59L career · 3 lines in 2022
<1%14%86%
3.64
Michelle Halpern
25W–9L career · no lines in 2022
<1%65%35%
3.45
Jose MacKinney
7W–8L career · no lines in 2022
<1%<1%>99%
3.42
3.5
Stefanie Wah
149W–129L career · 7 lines in 2022
<1%80%20%
3.39
4
Ani Aratounians
73W–121L career · 3 lines in 2022
87%13%<1%
3.35
3.5
Lee Tsai
212W–155L career · 3 lines in 2022
1%92%7%
3.31
Tammy Scher
4W–26L career · no lines in 2022
28%72%<1%
3.08
3
Melissa Jansson
45W–36L career · 3 lines in 2022
<1%89%10%
2.84
RIO NINO GOMEZ
1W–0L career · no lines in 2022
not enough data
RUBEN SIMON
0W–1L career · no lines in 2022
not enough data
Sanaz Ossanloo
2W–4L career · no lines in 2022
not enough data
Veronica Garcia
1W–2L career · no lines in 2022
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.