Teams

VALLEY CHURCH 18MX8.0A

2025 MIXED 18&Over · 18&Over MX8.0

23 players · average NTRP 4.00 / 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 MX8.0 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 3.76 estimated across 21 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.

4.51
Ye Guan
published
4.03
Yang Gao
published
4.03
Guibin Tian
published
4.02
Joy MENG
usually #1 Doubles 100% · published
4.02
Elani Phan
usually #1 Doubles 100% · published
3.97
Chunguang He
published 4
3.95
Jie Kong
published
3.88
Yan Moore
published
3.88
Blake Yang
published 4
3.87
Junchao Lin
usually #2 Doubles 100% · published
3.79
Haihua Yan
usually #3 Doubles 50%, also #1 Doubles 50% · published
3.78
Alicia Luo
usually #3 Doubles 100% · published 4
3.78
Paul Xie
usually #1 Doubles 100% · published
3.76
Wei Jing
published
3.58
Qi Zhou
published
3.58
Yue Xu
published
3.46
Lufei Wang
published
3.43
Yangmei Zheng
published
3.37
Mao Gao
published
3.21
Jingchun Wu
published
3.06
Fiona Li
usually #3 Doubles 50%, also #1 Doubles 50% · published
Hesheng Li
published
Sandy Yao
usually #2 Doubles 100% · 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.

Jie Kong + Ye Guan213 matchesnot enough data
Sandy Yao + Haihua Yan123 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.

Ye Guan
7W–1L career · no lines in 2025
<1%47%53%
4.51
Yang Gao
6W–10L career · no lines in 2025
<1%41%59%
4.03
Guibin Tian
5W–6L career · no lines in 2025
43%57%<1%
4.03
Joy MENG
11W–2L career · 1 line in 2025
<1%44%56%
4.02
Elani Phan
13W–21L career · 1 line in 2025
45%55%<1%
4.02
4
Chunguang He
17W–4L career · no lines in 2025
<1%59%41%
3.97
Jie Kong
12W–5L career · no lines in 2025
65%35%<1%
3.95
Yan Moore
27W–9L career · no lines in 2025
<1%79%20%
3.88
4
Blake Yang
26W–4L career · no lines in 2025
<1%81%19%
3.88
Junchao Lin
9W–12L career · 1 line in 2025
<1%82%17%
3.87
Haihua Yan
5W–7L career · 2 lines in 2025
2%91%7%
3.79
4
Alicia Luo
9W–5L career · 1 line in 2025
2%92%6%
3.78
Paul Xie
15W–7L career · 3 lines in 2025
2%92%5%
3.78
Wei Jing
15W–8L career · no lines in 2025
3%92%4%
3.76
Qi Zhou
32W–3L career · no lines in 2025
<1%29%71%
3.58
Yue Xu
23W–5L career · no lines in 2025
<1%29%71%
3.58
Lufei Wang
9W–8L career · no lines in 2025
<1%60%40%
3.46
Yangmei Zheng
8W–3L career · no lines in 2025
<1%69%31%
3.43
Mao Gao
14W–8L career · no lines in 2025
<1%83%17%
3.37
Jingchun Wu
1W–3L career · no lines in 2025
7%91%2%
3.21
Fiona Li
4W–2L career · 2 lines in 2025
33%67%<1%
3.06
Hesheng Li
2W–0L career · no lines in 2025
not enough data
Sandy Yao
3W–5L career · 1 line 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.