Teams

VALLEY CHURCH 40MX6.0A

2022 MIXED 40&Over · 40&Over MX6.0

21 players · average NTRP 3.31 / 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 40&Over MX6.0 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 3.21 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.

3.85
Amy Yang
published 4
3.74
Vanessa Graciano
published
3.71
Lan Wu
published
3.54
Jingping Wang
published
3.46
Laurie Mak
published
3.37
3.36
Reina Rampell
published
3.33
Connie J Chang
published 3.5
3.26
Suhardi Tjoa
published
Herbert Louie
published 3.5
3.23
Kevin Shen
published
3.23
Jin Zhang
published
3.19
Tara Maddala
published
3.15
Katherine Li
published
2.97
Matthew Derby
published
2.86
Elizabeth Shen
published 3.5
2.81
Elaine Chen
published 3
2.78
Alejandro Angel
published 3
2.72
J Chiu
published 3
2.48
Benson Fong
published 3
Taehyung Cho
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
Amy Yang
26W–11L career · no lines in 2022
<1%88%12%
3.85
Vanessa Graciano
31W–11L career · no lines in 2022
3%95%2%
3.74
Lan Wu
27W–14L career · no lines in 2022
5%94%1%
3.71
Jingping Wang
2W–3L career · no lines in 2022
37%63%<1%
3.54
Laurie Mak
6W–8L career · no lines in 2022
<1%63%37%
3.46
Meilani Hendrawidjaja
40W–19L career · no lines in 2022
<1%84%15%
3.37
Reina Rampell
6W–8L career · no lines in 2022
85%15%<1%
3.36
3.5
Connie J Chang
20W–12L career · no lines in 2022
1%89%10%
3.33
Suhardi Tjoa
19W–12L career · no lines in 2022
2%94%3%
3.26
3.5
Herbert Louie
1W–2L career · no lines in 2022
not enough data
Kevin Shen
11W–8L career · no lines in 2022
4%94%2%
3.23
Jin Zhang
14W–11L career · no lines in 2022
4%94%2%
3.23
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
Matthew Derby
15W–14L career · no lines in 2022
58%42%<1%
2.97
3.5
Elizabeth Shen
8W–17L career · no lines in 2022
86%14%<1%
2.86
3
Elaine Chen
12W–20L career · no lines in 2022
1%92%7%
2.81
3
Alejandro Angel
1W–3L career · no lines in 2022
2%94%5%
2.78
3
J Chiu
6W–1L career · no lines in 2022
5%94%2%
2.72
3
Benson Fong
1W–2L career · no lines in 2022
55%45%<1%
2.48
Taehyung Cho
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.