Teams

Veltri - Chen/Ricky

2022 Broward Mixed 18 & Over · 8.0

11 players · average NTRP 3.91 / REGION_8

View scouting list →
Schedule7 played
2022-06-16vs Broward/Piccolo - DeAndreisLost 12
L#1 DoublesDonovan Lue / Svetlana Janglin vs Simon Palacios / Noelia Diaz2-6, 2-6
W#2 DoublesSchubert Sengupta / Patricia Izbicki vs Franco de Andreis / Daniela Hernandez6-1, 1-6, 1-0
L#3 DoublesYonghong Chen / Mike Tichacek vs Santiago Salvador Rio E / Lissette Loddo3-6, 2-6
2022-06-16vs Midtown - Ibarra/SotoLost 02
L#1 DoublesSchubert Sengupta / Patricia Izbicki vs Nick Boros / Maria Escarra4-6, 7-6, 0-1
L#2 DoublesBarry Wank / Veronica Wank vs Jorge Prado / Natalia Moll5-7, 2-6
2022-06-13vs Midtown - TorresLost 02
L#1 DoublesDonovan Lue / Evelyn Daniels vs Gustavo Rodriguez / Angie Stone6-4, 4-6, 0-1
L#2 DoublesCarl Janglin / Svetlana Janglin vs Alicia Dominguez / Enrique Guzman Barron Escobedo4-6, 1-6
2022-06-06vs Piccolo - Alizo/MontotoLost 12
L#1 DoublesFranklyn Peart / Evelyn Daniels vs Hugo Moreno / Itala Ream2-6, 2-6
L#2 DoublesDonovan Lue / Svetlana Janglin vs Augusto Alizo / Erlinda Gomez3-6, 6-4, 1-0
W#3 DoublesMariel Cordero / Mike Tichacek vs Olivia Wallman / Roberto Gentile6-4, 4-6, 1-0
2022-05-09vs Ltc - SaharLost 03
L#1 DoublesJill Rickey / Schubert Sengupta vs Anthony Phillips / Jenna Painter3-6, 2-6
L#2 DoublesFranklyn Peart / Evelyn Daniels vs Carlton Able / Ivy Touchstone6-3, 6-7, 0-1
L#3 DoublesMariel Cordero / Mike Tichacek vs Adam Pasternack / Naisha Joseph - *4-6, 1-6
2022-05-02vs Veltri - SassonSplit 11
W#1 DoublesFranklyn Peart / Evelyn Daniels vs Randy Raskin / Kimberly OMahony6-4, 6-3
L#2 DoublesMike Tichacek / Mariel Cordero vs Sigal Sasson / Adam Ford4-6, 7-5, 0-1
2022-04-25vs Dillon - CarusoWon 30
W#1 DoublesEvelyn Daniels / Franklyn Peart vs Dmitri Daiter / Irina Daiter6-3, 6-1
W#2 DoublesJill Rickey / Schubert Sengupta vs Mary Grace Duggan / Manuel Gamarra6-3, 6-3
W#3 DoublesVeronica Wank / Barry Wank vs Michael Curry / Cynthia Cervantes6-0, 7-5
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 8.0 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 3.56 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.

4.29
Mariel Cordero
usually #2 Doubles 43%, also #1 Doubles 29% · published 4.5
Franklyn Peart
usually #1 Doubles 70%, also #2 Doubles 30% · published 4.5
4.08
Jill Rickey
usually #2 Doubles 60%, also #1 Doubles 20% · published 4.5
3.81
Veronica Wank
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.77
Svetlana Janglin
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.76
Donovan Lue
usually #2 Doubles 40%, also #1 Doubles 40% · published 4
3.57
Carl Janglin
usually #2 Doubles 100% · published 4
3.42
Schubert Sengupta
usually #2 Doubles 40%, also #1 Doubles 40% · published 3.5
3.24
Barry Wank
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.21
Evelyn Daniels
published 3.5
2.49
Mike Tichacek
usually #3 Doubles 75%, also #2 Doubles 25% · 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.

Carl Janglin + Svetlana Janglin31141% games−6.6% vs expected
Mariel Cordero + Schubert Sengupta4648% gamesnot enough data
Barry Wank + Veronica Wank3447% gamesnot enough data
Franklyn Peart + Jill Rickey4253% gamesnot enough data
Mariel Cordero + Franklyn Peart134 matchesnot enough data
Mike Tichacek + Mariel Cordero123 matchesnot enough data
Svetlana Janglin + Donovan Lue033 matchesnot enough data
Schubert Sengupta + Jill Rickey213 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.

4.5
Mariel Cordero
97W–93L career · 7 lines in 2022
1%93%5%
4.29
4.5
Franklyn Peart
37W–73L career · 10 lines in 2022
not enough data
4.5
Jill Rickey
109W–122L career · 5 lines in 2022
28%72%<1%
4.08
4
Veronica Wank
149W–154L career · 2 lines in 2022
1%92%8%
3.81
4
Svetlana Janglin
98W–111L career · 3 lines in 2022
2%94%4%
3.77
4
Donovan Lue
66W–86L career · 5 lines in 2022
2%94%3%
3.76
4
Carl Janglin
14W–37L career · 1 line in 2022
30%70%<1%
3.57
3.5
Schubert Sengupta
298W–227L career · 5 lines in 2022
<1%72%28%
3.42
3.5
Barry Wank
8W–22L career · type S · 2 lines in 2022
3%94%2%
3.24
3.5
Evelyn Daniels
17W–17L career · no lines in 2022
6%93%1%
3.21
3
Mike Tichacek
298W–203L career · 4 lines in 2022
52%48%<1%
2.49

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.