Teams

Bay Club Fremont 40MX9.0A

2023 MIXED 40&Over · 40&Over MX9.0

13 players · average NTRP 4.50 / 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 MX9.0 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 4.16 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
Lisa Oktavia
published
4.32
Carol Wang
published 4.5
4.32
Glenn Teixeira
published 4.5
4.29
Paul Liu
published
4.26
Roman Olmos
published
4.25
Jaime Santos
published 4.5
4.24
John Rongxiang Hu
published
4.15
Lina Li
published
4.02
Michelle McDermott
published
3.96
Laura Norden
published
3.93
Jie Kong
published
3.81
Ming Ta
published
Yao Tian
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.

Jaime Santos + Lisa Oktavia314 matchesnot enough data
John Rongxiang Hu + Carol Wang044 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.

Lisa Oktavia
41W–21L career · no lines in 2023
<1%85%14%
4.36
4.5
Carol Wang
5W–20L career · no lines in 2023
1%91%8%
4.32
4.5
Glenn Teixeira
30W–16L career · no lines in 2023
1%91%8%
4.32
Paul Liu
27W–18L career · no lines in 2023
1%93%6%
4.29
Roman Olmos
13W–9L career · no lines in 2023
2%94%3%
4.26
4.5
Jaime Santos
23W–13L career · no lines in 2023
3%95%3%
4.25
John Rongxiang Hu
2W–12L career · no lines in 2023
3%94%2%
4.24
Lina Li
11W–18L career · no lines in 2023
13%87%<1%
4.15
Michelle McDermott
10W–14L career · no lines in 2023
44%55%<1%
4.02
Laura Norden
11W–22L career · no lines in 2023
61%39%<1%
3.96
Jie Kong
11W–5L career · no lines in 2023
71%29%<1%
3.93
Ming Ta
15W–3L career · no lines in 2023
1%92%8%
3.81
Yao Tian
3W–1L career · no lines in 2023
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.