Teams

CUESTA TC 40MX8.0A

2025 MIXED 40&Over · 40&Over MX8.0

19 players · average NTRP 4.75 / 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 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 3.80 estimated across 16 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.

4.35
Ying Cai
published
4.32
Carol Wang
published 4.5
4.29
Brian Heimbecker
usually #2 Doubles 56%, also #1 Doubles 33% · published 5
4.21
John Rongxiang Hu
published
4.08
Emese Erdos
published
4.03
Guibin Tian
usually #1 Doubles 100% · published
3.77
Shang Liu
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.76
Min Qian
published
3.75
Wade Conklin
usually #1 Doubles 100% · published
3.67
Guangyu Xu
published
3.64
Sharon Huang
published
3.58
Tammy Choy
published
3.48
Max Kwok
published
3.46
Fang Wong
usually #1 Doubles 50%, also #3 Doubles 50% · published
3.19
Fred Li
published
3.16
Jin Zhang
published
Marsha Heimbecker
published
Sandy Yao
published
Wennie Nie
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.

Shang Liu + Fang Wong5458% games+11.2% vs expected
John Rongxiang Hu + Carol Wang044 matchesnot enough data
John Rongxiang Hu + Jin Zhang123 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.

Ying Cai
4W–2L career · no lines in 2025
1%85%14%
4.35
4.5
Carol Wang
5W–20L career · no lines in 2025
1%89%10%
4.32
5
Brian Heimbecker
367W–83L career · 9 lines in 2025
no projection at this level
4.29
John Rongxiang Hu
2W–12L career · no lines in 2025
6%92%2%
4.21
Emese Erdos
17W–20L career · no lines in 2025
28%72%<1%
4.08
Guibin Tian
5W–6L career · 1 line in 2025
43%57%<1%
4.03
Shang Liu
40W–31L career · 2 lines in 2025
2%92%5%
3.77
Min Qian
8W–7L career · no lines in 2025
3%93%4%
3.76
Wade Conklin
20W–19L career · 1 line in 2025
<1%4%96%
3.75
Guangyu Xu
6W–15L career · no lines in 2025
11%88%1%
3.67
Sharon Huang
2W–2L career · no lines in 2025
17%83%<1%
3.64
Tammy Choy
8W–19L career · no lines in 2025
29%71%<1%
3.58
Max Kwok
11W–12L career · no lines in 2025
<1%56%43%
3.48
Fang Wong
37W–29L career · 2 lines in 2025
<1%63%37%
3.46
Fred Li
7W–13L career · no lines in 2025
99%1%<1%
3.19
Jin Zhang
14W–11L career · no lines in 2025
12%87%1%
3.16
Marsha Heimbecker
2W–1L career · no lines in 2025
not enough data
Sandy Yao
3W–5L career · no lines in 2025
not enough data
Wennie Nie
5W–8L 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.