Teams

SUNNYVALE TC/SUNNYVALE MTC CW6.5C

2022 COMBO · Women 6.5

20 players · average NTRP 3.40 / NO. 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 →

Flight standings for Women 6.5 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 3.19 estimated across 19 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.

3.58
3.56
Pegah Seddighian
published
3.51
Joanne Callahan
published
3.48
Jessica Yu
published
3.45
Eunjung Chang
published 3.5
3.39
Alisha Testa
published 3.5
3.39
Valerie Lau
published 3.5
3.28
Veronica Sanchez
published
3.27
Amber Johnsen
published 3.5
3.22
Missy Robinson
published
3.22
Teresa Segura
published
3.19
Tara Maddala
published
3.15
Katherine Li
published
2.98
Dinh Vail
published 3.5
2.96
Donna Jazayeri
published 3.5
2.89
Regina Hickman
published
2.85
2.61
Rie Collett
published
2.60
Esperanza McConn
published 3
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.

Teresa Segura + Amber Johnsen123 matchesnot enough data
Amber Johnsen + Tara Maddala123 matchesnot enough data
Donna Jazayeri + Dinh Vail033 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
Deepthi Vishwanath
10W–10L career · no lines in 2022
28%72%<1%
3.58
Pegah Seddighian
11W–13L career · no lines in 2022
33%67%<1%
3.56
Joanne Callahan
11W–7L career · no lines in 2022
47%53%<1%
3.51
Jessica Yu
121W–68L career · no lines in 2022
<1%55%45%
3.48
3.5
Eunjung Chang
13W–1L career · no lines in 2022
<1%65%35%
3.45
3.5
Alisha Testa
22W–16L career · no lines in 2022
<1%80%20%
3.39
3.5
Valerie Lau
57W–33L career · no lines in 2022
<1%80%19%
3.39
Veronica Sanchez
12W–20L career · no lines in 2022
2%94%4%
3.28
3.5
Amber Johnsen
20W–18L career · no lines in 2022
2%94%4%
3.27
Missy Robinson
9W–17L career · no lines in 2022
5%94%2%
3.22
Teresa Segura
10W–10L career · no lines in 2022
5%94%2%
3.22
Tara Maddala
8W–15L career · no lines in 2022
8%92%1%
3.19
Katherine Li
6W–4L career · no lines in 2022
12%88%<1%
3.15
3.5
Dinh Vail
6W–13L career · no lines in 2022
56%44%<1%
2.98
3.5
Donna Jazayeri
6W–7L career · no lines in 2022
62%38%<1%
2.96
Regina Hickman
3W–17L career · no lines in 2022
81%19%<1%
2.89
3
Celeste Deggeller
5W–5L career · no lines in 2022
<1%87%13%
2.85
3
Gulshan Bhatiaknauer
0W–1L career · no lines in 2022
not enough data
Rie Collett
16W–16L career · no lines in 2022
20%80%<1%
2.61
3
Esperanza McConn
5W–10L career · no lines in 2022
22%78%<1%
2.60

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.