Teams

MT TAM RC 40MX7.0A

2022 MIXED 40&Over · 40&Over MX7.0

13 players · average NTRP 3.38 / 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 3.26 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.

3.69
3.64
Satish Pillai
published
3.55
Nina Trowbridge
published
3.41
David Grayson
published 3.5
3.40
Joel Sklar
published
3.31
Mary Schattenberg
published
3.27
Bill Denler
published 3.5
3.20
David Stolberg
published 3.5
3.11
Stephen Cossman
published
2.71
Dana Vilas
published 3
2.56
Kelli Fleitas
published
Nicola Trwst
published
Sue Pearlstein
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.

Satish Pillai + Urmila Bajpai-Pillai213 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.

Urmila Bajpai-Pillai
8W–10L career · no lines in 2022
7%92%1%
3.69
Satish Pillai
8W–9L career · no lines in 2022
14%85%<1%
3.64
Nina Trowbridge
7W–7L career · no lines in 2022
34%66%<1%
3.55
3.5
David Grayson
19W–9L career · no lines in 2022
<1%75%24%
3.41
Joel Sklar
17W–3L career · no lines in 2022
<1%78%22%
3.40
Mary Schattenberg
5W–13L career · no lines in 2022
1%92%7%
3.31
3.5
Bill Denler
4W–9L career · no lines in 2022
2%94%4%
3.27
3.5
David Stolberg
6W–8L career · no lines in 2022
7%92%1%
3.20
Stephen Cossman
12W–7L career · no lines in 2022
20%80%<1%
3.11
3
Dana Vilas
1W–4L career · no lines in 2022
5%94%1%
2.71
Kelli Fleitas
2W–5L career · no lines in 2022
33%67%<1%
2.56
Nicola Trwst
3W–3L career · no lines in 2022
not enough data
Sue Pearlstein
1W–4L 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.