Teams

Sengupta (Crandon)

2021 Miami-Dade Mixed 40 & Over - Fall · 7.0

9 players · average NTRP 3.70 / REGION_8

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Schedule6 played
2020-12-18vs Williams (Continental)Split 11
W#2 DoublesMonika Olimpiew / Florian Hafner vs Maira Maguire / Troy Wee Tom4-6, 6-4, 1-0
L#3 DoublesRajni Agarwal / Bryant Carreno vs ANGELA MUSSO / Allan Marley2-6, 6-3, 1-0
2020-12-16vs Montoto (Coral Oaks)Split 11
W#1 DoublesRajni Agarwal / Bryant Carreno vs Laura Weinfeld / Victor Felandro6-1, 7-5
L#3 DoublesMonika Olimpiew / Florian Hafner vs Susan Culmo / Oscar Orihuela1-6, 6-2, 0-1
2020-11-13vs Montoto (Coral Oaks)Won 10
W#1 DoublesMonika Olimpiew / Florian Hafner vs Susan Culmo / Geoffrey Meurrens5-7, 6-2, 1-0
2020-11-06vs Williams (Continental)Lost 01
L#2 DoublesRajni Agarwal / Florian Hafner vs Maira Maguire / Troy Wee Tom5-7, 6-1, 0-1
2020-11-04vs Williams (Continental)Lost 01
L#2 DoublesRajni Agarwal / DHiraj Sukhwani vs Maira Maguire / Troy Wee Tom3-6, 2-6
2020-10-23Lost 01
L#1 DoublesMonika Olimpiew / Roberto Jimenez vs Birgitta Montoto / TONY MONTOTO5-7, 4-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for 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 3.54 estimated across 9 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.

3.96
Monika Olimpiew
usually #1 Doubles 50%, also #3 Doubles 25% · published 4
3.94
Paul Neumann
published
3.68
Bryant Carreno
usually #1 Doubles 50%, also #3 Doubles 50% · published 4
3.62
Luis Perez
published
3.55
Leonardo Concha
published
3.53
Margarita Nunez
published
3.42
Schubert Sengupta
published 3.5
3.13
Rajni Agarwal
usually #2 Doubles 50%, also #1 Doubles 25% · published 3.5
3.01
Gary Lees
published 3.5
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.

Rajni Agarwal + Bryant Carreno9556% games+4.5% vs expected
Monika Olimpiew + Schubert Sengupta224 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.

4
Monika Olimpiew
283W–168L career · 4 lines in 2021
<1%63%37%
3.96
Paul Neumann
9W–13L career · no lines in 2021
<1%66%34%
3.94
4
Bryant Carreno
123W–68L career · 2 lines in 2021
8%91%1%
3.68
Luis Perez
2W–9L career · no lines in 2021
19%81%<1%
3.62
Leonardo Concha
2W–12L career · no lines in 2021
34%66%<1%
3.55
Margarita Nunez
7W–13L career · no lines in 2021
41%59%<1%
3.53
3.5
Schubert Sengupta
298W–227L career · no lines in 2021
<1%72%28%
3.42
3.5
Rajni Agarwal
90W–65L career · 4 lines in 2021
16%83%<1%
3.13
3.5
Gary Lees
1W–5L career · type S · no lines in 2021
48%52%<1%
3.01

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.