Teams

Miami-Dade/Sengupta

2022 Miami-Dade Mixed 18 & Over - Spring · 6.0

4 players · average NTRP 3.50 / REGION_8

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Schedule8 played
2022-05-21Won 10
W#1 DoublesBianca Capella / Christian Miranda vs Yelena Calderon / JORGE GONZALEZ6-2, 6-3
2022-05-11Won 10
W#2 DoublesBianca Capella / Martin Pollon vs Maria Wallis / Axel Gonzalez6-2, 6-1
2022-04-09vs Terrazas (Doral Park)Won 10
W#3 DoublesYamila Porras / Thomas Campbell vs Viviana Vila / Jose Vila6-0, 6-3
W#1 DoublesSchubert Sengupta / Julieta Peralta vs Karen Graham Sewing / GONZALO GARCIA7-5, 3-0
W#2 DoublesMartin Pollon / Bianca Capella vs Lissette Viloria / Cristian Pelaez6-3, 6-2
W#1 DoublesSchubert Sengupta / Judy Prado vs Julio Salazar / Pilar Gomez6-2, 6-3
2022-03-05vs Terrazas (Doral Park)Won 20
W#2 DoublesBianca Capella / Martin Pollon vs Gonzalo Wallis / ELIANA BIGAI6-2, 6-2
W#3 DoublesJulieta Peralta / Schubert Sengupta vs Maria Rocca di Turi / William Malarett6-1, 6-4
W#1 DoublesSchubert Sengupta / Julieta Peralta vs Lissette Viloria / Angelo Costantini6-2, 6-1
W#2 DoublesDHiraj Sukhwani / Yamila Porras vs Karen Graham Sewing / Daniel Pena4-6, 6-3, 1-0
W#3 DoublesMartin Pollon / Bianca Capella vs Sandra Morales / Lucas Martinez3-6, 6-3, 1-0
W#1 DoublesSchubert Sengupta / Judy Prado vs Lissette Viloria / Bryant Carreno5-7, 7-5, 1-0
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 6.0 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 3.30 estimated across 4 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.

3.55
Martin Pollon
published
3.42
Schubert Sengupta
usually #1 Doubles 80%, also #3 Doubles 20% · published 3.5
3.27
Bianca Capella
usually #2 Doubles 60%, also #3 Doubles 20% · published 3.5
2.96
Yamila Porras
usually #2 Doubles 50%, also #3 Doubles 50% · 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.

Bianca Capella + Martin Pollon123 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.

Martin Pollon
7W–19L career · no lines in 2022
34%66%<1%
3.55
3.5
Schubert Sengupta
298W–227L career · 5 lines in 2022
<1%72%28%
3.42
3.5
Bianca Capella
75W–54L career · 5 lines in 2022
2%94%4%
3.27
3.5
Yamila Porras
116W–114L career · 2 lines in 2022
61%39%<1%
2.96

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.