Teams

CTL40/JAYAGOPALAN/WLD

Mixed Doubles 40 & Over - USTA · 40 & Over Mixed 7.0

15 players · average NTRP 3.30 / SOUTH CAROLINA

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 Mixed 7.0 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 3.16 estimated across 11 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.

3.54
Susan Hamilton
published
3.53
3.46
Susan Arling
published
3.31
3.25
Cathy Greenwood
published 3.5
Darrel Fitch
published 3.5
3.07
Kim Aydlette
published
3.00
Anne Mangubat
published 3.5
3.00
Vivian Wych
published
2.96
Gregory Arling
published 3
2.92
2.73
Bill Inabinet
published 3
Deborah Staley
published
Laura Kane
published
Thomas Gross
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.

Susan Hamilton + Thomas Gross3252% gamesnot enough data
Ramkumar Jayagopalan + Cathy Greenwood213 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.

Susan Hamilton
124W–94L career · no lines in 2022
<1%39%61%
3.54
Thiagu Chandrasekaran
118W–42L career · no lines in 2022
<1%41%59%
3.53
Susan Arling
130W–48L career · no lines in 2022
<1%61%39%
3.46
Ramkumar Jayagopalan
81W–70L career · no lines in 2022
1%92%7%
3.31
3.5
Cathy Greenwood
56W–45L career · no lines in 2022
3%95%3%
3.25
3.5
Darrel Fitch
9W–12L career · no lines in 2022
not enough data
Kim Aydlette
65W–80L career · no lines in 2022
30%70%<1%
3.07
3.5
Anne Mangubat
56W–89L career · no lines in 2022
48%52%<1%
3.00
Vivian Wych
119W–92L career · no lines in 2022
49%51%<1%
3.00
3
Gregory Arling
31W–27L career · no lines in 2022
<1%61%39%
2.96
Patricia Butler Fitch
67W–60L career · no lines in 2022
<1%73%27%
2.92
3
Bill Inabinet
9W–39L career · no lines in 2022
4%94%2%
2.73
Deborah Staley
4W–13L career · no lines in 2022
not enough data
Laura Kane
99W–44L career · no lines in 2022
not enough data
Thomas Gross
10W–5L 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.