Teams

VALLEY CHURCH 18MX7.0A

2025 MIXED 18&Over · 18&Over MX7.0

20 players · average NTRP 3.69 / 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 →
Schedule1 played
L#1 DoublesCheng-Shao Chiang / Charlotte He vs Tianyu Gu / Shiru CAO6-4, 4-6, 0-1
L#2 DoublesHe Lu / Elma Wang vs Guancong Jia / Qiuyun Lin3-6, 0-6
W#3 DoublesNanxuan Huang / ZIXIAO CHENG vs Chengshu Li / Chenyi Shi6-4, 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 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 3.48 estimated across 18 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.

3.98
Chunguang He
published 4
3.93
Elaine Zhao
published 4
3.81
Yiwen Xie
published
3.71
Mark Alves
published
3.63
ZIXIAO CHENG
usually #3 Doubles 100% · published
3.58
He Lu
usually #2 Doubles 100% · published 3.5
3.58
Cheng-Shao Chiang
usually #1 Doubles 100% · published 4
3.55
Yu Sun
usually #3 Doubles 100% · published
3.53
Peng Qu
published
3.40
Baozhang Ren
usually #1 Doubles 100% · published 3.5
3.39
Shi Dong
published
3.32
Yingfei Wu
published
3.32
Yuqi Huang
published
3.30
Nanxuan Huang
usually #3 Doubles 100% · published
3.27
Jingfan Sun
published
3.17
Charlotte He
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.15
Elma Wang
usually #2 Doubles 100% · published 3.5
3.09
Anna An
published 3.5
Ke Lei
published
Zhe Huang
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
Chunguang He
17W–4L career · no lines in 2025
<1%55%45%
3.98
4
Elaine Zhao
11W–11L career · no lines in 2025
<1%70%30%
3.93
Yiwen Xie
25W–14L career · no lines in 2025
1%92%7%
3.81
Mark Alves
20W–37L career · no lines in 2025
5%94%1%
3.71
ZIXIAO CHENG
12W–11L career · 1 line in 2025
<1%15%85%
3.63
3.5
He Lu
22W–15L career · 1 line in 2025
<1%26%74%
3.58
4
Cheng-Shao Chiang
3W–7L career · 1 line in 2025
27%73%<1%
3.58
Yu Sun
20W–12L career · 1 line in 2025
<1%35%65%
3.55
Peng Qu
13W–17L career · no lines in 2025
41%59%<1%
3.53
3.5
Baozhang Ren
18W–4L career · 2 lines in 2025
<1%78%22%
3.40
Shi Dong
36W–21L career · no lines in 2025
<1%80%20%
3.39
Yingfei Wu
11W–5L career · no lines in 2025
1%91%9%
3.32
Yuqi Huang
18W–12L career · no lines in 2025
1%91%8%
3.32
Nanxuan Huang
11W–7L career · 1 line in 2025
1%93%6%
3.30
Jingfan Sun
10W–12L career · no lines in 2025
2%94%4%
3.27
3.5
Charlotte He
4W–10L career · 2 lines in 2025
10%89%<1%
3.17
3.5
Elma Wang
1W–3L career · 1 line in 2025
13%87%<1%
3.15
3.5
Anna An
11W–8L career · type A · no lines in 2025
25%75%<1%
3.09
Ke Lei
3W–3L career · no lines in 2025
not enough data
Zhe Huang
1W–2L career · no lines in 2025
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.