Teams

SAN CARLOS TC/CARLMONT HS 40MX7.0A

2022 MIXED 40&Over · 40&Over MX7.0

18 players · average NTRP 3.50 / 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 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 3.33 estimated across 17 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.

3.88
Jennifer Maravillas
published
3.87
Jonathan Felder
published
3.79
Humberto Melara
published 4
3.49
Tom Chiang
published
3.45
Lili Occena
published
3.37
Jennifer Falk
published
3.33
Alistair Jeffs
published 3.5
3.32
Thomas Fuerst
published
3.31
Marla Lindsay
published
3.24
Patrick Harshman
published
3.22
Tiffany Truong
published
3.21
Khin Tint
published
3.16
Thiru Varadadesigan
published
3.11
Yuko Miyagawa
published
3.11
Melodie Rubin
published
3.06
Pamela Fuerst
published
2.74
Jaime Mok
published 3
Juan Cruz Cuevas
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.

Pamela Fuerst + Thomas Fuerst224 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.

Jennifer Maravillas
3W–8L career · no lines in 2022
82%18%<1%
3.88
Jonathan Felder
4W–12L career · no lines in 2022
83%17%<1%
3.87
4
Humberto Melara
4W–6L career · no lines in 2022
1%94%5%
3.79
Tom Chiang
8W–6L career · no lines in 2022
53%47%<1%
3.49
Lili Occena
8W–8L career · no lines in 2022
<1%65%35%
3.45
Jennifer Falk
11W–6L career · no lines in 2022
<1%84%16%
3.37
3.5
Alistair Jeffs
21W–9L career · no lines in 2022
1%90%9%
3.33
Thomas Fuerst
13W–5L career · no lines in 2022
1%91%8%
3.32
Marla Lindsay
15W–13L career · no lines in 2022
1%92%7%
3.31
Patrick Harshman
3W–6L career · no lines in 2022
3%95%2%
3.24
Tiffany Truong
5W–26L career · no lines in 2022
4%94%2%
3.22
Khin Tint
39W–40L career · no lines in 2022
5%94%1%
3.21
Thiru Varadadesigan
3W–1L career · no lines in 2022
11%88%<1%
3.16
Yuko Miyagawa
12W–21L career · no lines in 2022
19%80%<1%
3.11
Melodie Rubin
14W–15L career · no lines in 2022
21%79%<1%
3.11
Pamela Fuerst
4W–19L career · no lines in 2022
31%69%<1%
3.06
3
Jaime Mok
9W–14L career · no lines in 2022
3%94%2%
2.74
Juan Cruz Cuevas
1W–1L 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.