Teams

Veltri/Yonghong

2024 Broward Mixed 40 & Over · 7.0

10 players · average NTRP 3.60 / REGION_8

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Schedule7 played
2024-03-20vs Veltri/SassonWon 20
W#1 DoublesUpasna Jha / Edward Ng vs Carolina Rivera / Haim Sasson6-2, 6-3
W#2 DoublesHarry Dong / Peilan Yao vs Gregory Joseph / Gabriela Reyes6-2, 7-5
2024-03-15vs Midtown/Durante/CorreaWon 20
W#1 DoublesAna Pastorino / Schubert Sengupta vs Milka Vignali / Juan Vesga6-3, 3-6, 1-0
W#2 DoublesHarry Dong / Peilan Yao vs Alejandro Tamayo / Maria Moreno6-4, 7-5
2024-03-01vs Midtown/TejadaWon 20
W#1 DoublesAna Pastorino / Schubert Sengupta vs Vanessa Keating / Manuel Arismendy3-6, 6-3, 1-0
W#2 DoublesUpasna Jha / Edward Ng vs Andrea Cepero / Nicolas Lievano3-6, 6-3, 1-0
2024-02-23vs Wrc/GentileLost 01
L#2 DoublesXiaoquan Jiang / Peilan Yao vs JOSE F MENDEZ / Maria Avellaneda3-6, 1-6
2024-02-16vs Broward/DeAndreis/40&Over7.0MxdWon 10
W#3 DoublesHarry Dong / Peilan Yao vs Maria Escarra / Roberto Palma6-3, 6-4
2024-02-09Won 10
W#3 DoublesIan Snagg / Peilan Yao vs Blossom Allen / Karson Volcy7-5, 6-3
2024-02-02vs Midtown/BarronWon 10
W#3 DoublesPeilan Yao / Ian Snagg vs Carlos Reyes / Martha Barliza7-5, 6-1
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 3.39 estimated across 10 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.

3.80
Peilan Yao
usually #3 Doubles 50%, also #1 Doubles 25% · published 4
3.73
Upasna Jha
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.63
Sean Lowery
published
3.61
Mario Rosa
published
3.56
3.45
Schubert Sengupta
usually #1 Doubles 50%, also #3 Doubles 25% · published 3.5
3.37
Ana Pastorino
usually #1 Doubles 100% · published 3.5
3.05
Harry Dong
published
2.88
Edward Ng
published
2.84
Deborah Hinson
published 3
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.

Schubert Sengupta + Ana Pastorino5350% gamesnot 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
Peilan Yao
112W–67L career · 12 lines in 2024
2%91%8%
3.80
4
Upasna Jha
203W–118L career · 4 lines in 2024
5%92%3%
3.73
Sean Lowery
7W–16L career · no lines in 2024
18%82%<1%
3.63
Mario Rosa
15W–14L career · no lines in 2024
<1%21%79%
3.61
Paulette Janice Snagg
9W–10L career · no lines in 2024
33%67%<1%
3.56
3.5
Schubert Sengupta
298W–226L career · 4 lines in 2024
<1%64%36%
3.45
3.5
Ana Pastorino
288W–153L career · 2 lines in 2024
<1%81%18%
3.37
Harry Dong
8W–1L career · no lines in 2024
<1%37%63%
3.05
Edward Ng
30W–13L career · no lines in 2024
<1%80%19%
2.88
3
Deborah Hinson
17W–11L career · no lines in 2024
1%86%13%
2.84

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.