Teams

Veltri - Chen/Schubert

2023 Broward Mixed 18 & Over · 6.0

13 players · average NTRP 3.28 / REGION_8

View scouting list →
Schedule5 played
2023-07-20vs Broward/Vasudevan/Mixed18&Over6.0Lost 01
L#1 DoublesEdward Ng / Christine Picanza vs Diana Navarrete / David Pellow3-6, 6-4, 1-0
2023-07-05vs Midtown - KrinickasLost 01
L#2 DoublesEdward Ng / Christine Picanza vs Diego Lozano / MARIANA DURANTE3-6, 3-6
2023-06-22vs Midtown - NunezWon 10
W#3 DoublesSchubert Sengupta / Amy Alonzo vs Saeid Sadoughi / Paula Luna6-2, 6-3
2023-06-01vs Midtown - NunezLost 01
L#3 DoublesEdward Ng / Christine Picanza vs Alkesh Mevada / Juan Yang2-6, 2-6
2023-05-18vs Midtown - KrinickasWon 10
W#1 DoublesSchubert Sengupta / Jeneissy Azcuy vs Mario Vignali / Milka Vignali6-3, 4-6, 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 3.05 estimated across 13 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.

4.07
Diana Restrepo
published 4
3.55
Martin Pollon
published
3.42
Schubert Sengupta
usually #1 Doubles 50%, also #2 Doubles 25% · published 3.5
3.32
GONZALO GARCIA
published 3.5
3.27
Bianca Capella
published 3.5
2.98
Christine Picanza
usually #3 Doubles 33%, also #2 Doubles 33% · published 3
2.91
Juan Godoy
published
2.88
Debra Reed
published 3
2.87
Deborah Hinson
published 3
2.86
Edward Ng
published 3
2.71
Gloria Marquez
published 3
2.53
Sara Contreras
published
2.26
Jeneissy Azcuy
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.

Edward Ng + Christine Picanza5167% games+13.7% vs expected
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.

4
Diana Restrepo
46W–7L career · no lines in 2023
<1%31%69%
4.07
Martin Pollon
7W–19L career · no lines in 2023
34%66%<1%
3.55
3.5
Schubert Sengupta
298W–227L career · 12 lines in 2023
<1%72%28%
3.42
3.5
GONZALO GARCIA
14W–16L career · no lines in 2023
1%91%8%
3.32
3.5
Bianca Capella
75W–54L career · no lines in 2023
2%94%4%
3.27
3
Christine Picanza
78W–49L career · 3 lines in 2023
<1%56%44%
2.98
Juan Godoy
16W–15L career · no lines in 2023
<1%76%24%
2.91
3
Debra Reed
25W–17L career · no lines in 2023
<1%82%18%
2.88
3
Deborah Hinson
17W–11L career · no lines in 2023
<1%84%16%
2.87
3
Edward Ng
30W–13L career · no lines in 2023
<1%85%14%
2.86
3
Gloria Marquez
5W–13L career · no lines in 2023
5%93%1%
2.71
Sara Contreras
20W–28L career · no lines in 2023
40%60%<1%
2.53
Jeneissy Azcuy
8W–10L career · no lines in 2023
0%97%3%
2.26

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.