Teams

SUNNYVALE MTC 18AW4.5A

2022 ADULT 18&Over · Women's 4.5

17 players · average NTRP 4.83 / 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's 4.5 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 4.07 estimated across 12 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.

Boyu Hu
published 5
4.36
Lisa Oktavia
published
4.32
Carol Wang
published 4.5
4.26
Kar Yee Fransham
published
4.15
Elani Phan
published 5
4.15
Lina Li
published
4.14
Sumeeta Vasishta
published
4.05
Tiffany Liew
published
4.02
Michelle McDermott
published
3.96
Laura Norden
published
3.83
3.78
Teresa Low
published
3.76
Vanessa Garcia
published
Kitty Ye
published
Lijun Yang
published
Sandra Wong
published
Sharon Yang
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.

Michelle McDermott + Laura Norden4649% games−3.2% vs expected
Kar Yee Fransham + Sumeeta Vasishta303 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.

5
Boyu Hu
0W–1L career · type S · no lines in 2022
not enough data
Lisa Oktavia
41W–21L career · no lines in 2022
<1%85%14%
4.36
4.5
Carol Wang
5W–20L career · no lines in 2022
1%91%8%
4.32
Kar Yee Fransham
8W–3L career · no lines in 2022
2%95%3%
4.26
5
Elani Phan
13W–20L career · no lines in 2022
>99%<1%<1%
4.15
Lina Li
11W–18L career · no lines in 2022
13%87%<1%
4.15
Sumeeta Vasishta
24W–6L career · no lines in 2022
14%85%<1%
4.14
Tiffany Liew
14W–12L career · no lines in 2022
34%66%<1%
4.05
Michelle McDermott
10W–14L career · no lines in 2022
44%55%<1%
4.02
Laura Norden
11W–22L career · no lines in 2022
61%39%<1%
3.96
Joanna Broda-Schunck
5W–16L career · no lines in 2022
90%10%<1%
3.83
Teresa Low
9W–4L career · no lines in 2022
2%94%5%
3.78
Vanessa Garcia
8W–18L career · no lines in 2022
2%94%3%
3.76
Kitty Ye
0W–2L career · no lines in 2022
not enough data
Lijun Yang
3W–1L career · no lines in 2022
not enough data
Sandra Wong
0W–2L career · no lines in 2022
not enough data
Sharon Yang
2W–3L 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.