Teams

SUNNYVALE TC/SUNNYVALE MTC 18MX7.0A

2022 MIXED 18&Over · 18&Over MX7.0

14 players · average NTRP 3.83 / 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 18&Over MX7.0 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 3.67 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.

4.36
Daniella Holm
published 4.5
4.17
Jennifer Jin
published
3.98
Kuan Chang
published
3.97
3.79
Sean Felder
published
3.65
Marina Obyrne
published
3.50
Juan Pablo Q Weston
published
3.41
Alicia Sim
published 3.5
3.39
Bradford Meiseles
published 3.5
3.29
Derrick Contreras
published 3.5
2.91
Lee Bader
published
Kelly Hsieh
published
Mimi Ngo
published
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
Daniella Holm
26W–15L career · no lines in 2022
<1%85%14%
4.36
Jennifer Jin
19W–9L career · no lines in 2022
9%90%1%
4.17
Kuan Chang
13W–16L career · no lines in 2022
55%45%<1%
3.98
4
Daniel Lloyd Pias
11W–14L career · type A · no lines in 2022
<1%59%41%
3.97
Sean Felder
11W–7L career · no lines in 2022
1%94%5%
3.79
Marina Obyrne
21W–14L career · no lines in 2022
<1%12%88%
3.65
4
Frances Caroline Gardhouse
16W–23L career · no lines in 2022
31%69%<1%
3.56
Juan Pablo Q Weston
6W–8L career · no lines in 2022
51%49%<1%
3.50
3.5
Alicia Sim
5W–5L career · no lines in 2022
<1%75%25%
3.41
3.5
Bradford Meiseles
11W–12L career · no lines in 2022
<1%81%19%
3.39
3.5
Derrick Contreras
14W–16L career · no lines in 2022
1%93%6%
3.29
Lee Bader
0W–7L career · no lines in 2022
77%23%<1%
2.91
Kelly Hsieh
5W–3L career · no lines in 2022
not enough data
Mimi Ngo
2W–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.