Teams

Veltri - Gonzalez/Contreras

2022 Broward Adult 40 & Over Day · 4.0 Adult Women

15 players · average NTRP 3.89 / REGION_8

View scouting list →
Schedule7 played
2022-03-10vs Broward/Veltri - KoonLost 02
L#1 DoublesPaulina Riveros / Rosana Fernandez vs Vladlena Funk / Maria Montoto5-7, 5-7
L#2 DoublesSarah Nickoson / Sigal Sasson vs Gloria Coursey / Clarena Furtado2-6, 1-6
2022-02-24vs Ltc - LevineSplit 11
W#1 DoublesAna Carolina Manchester / Sarah Nickoson vs Laurie Mathews / Maria Moreno4-6, 6-4, 1-0
L#3 DoublesRosana Fernandez / Garbine de la Mora vs Connie Rivera / Loren Levine6-4, 2-6, 0-1
2022-02-17vs Broward/Veltri - KoonLost 03
L#2 DoublesZorayda Hidalgo / Rossana OKAMURA vs Lou Armstrong / Lorena Villar2-6, 6-7
L#3 DoublesAna Carolina Manchester / Garbine de la Mora vs Joan S Oelschlager / Margaret MacHoian5-7, 3-6
L#4 DoublesMaria Galvan Leeper / Kerri Paul vs Julianna Dudics / Ina Gluck6-7, 6-7
2022-02-03vs Ltc - LevineWon 10
W#2 DoublesPaulina Riveros / Sarah Nickoson vs Maria Moreno / ELIZABETH GORDILLO6-1, 0-2
2022-01-27vs Broward/Veltri - KoonLost 13
L#1 DoublesSarah Nickoson / Maria Galvan Leeper vs Gloria Coursey / Clarena Furtado1-6, 3-6
L#2 DoublesZorayda Hidalgo / Rossana OKAMURA vs Maria Montoto / Lorena Villar7-5, 4-6, 0-1
L#3 DoublesNatalia Frantsevskaya / Cheryl Bonno vs Lou Armstrong / Ina Gluck7-5, 0-6, 0-1
W#4 DoublesNatalia de Gregorio - * / Paulina Riveros vs Vladlena Funk / Ivy Touchstone5-7, 6-4, 1-0
2022-01-13vs Ltc - LevineSplit 22
L#1 DoublesTaciana Kalili / Natalia Frantsevskaya vs Maria Moreno / Sahar Moghaddam2-6, 3-6
W#2 DoublesPaulina Riveros / Maria Galvan Leeper vs Connie Rivera / Edith Schmidt6-2, 6-2
L#3 DoublesAna Carolina Manchester / Garbine de la Mora vs Michele King / Bea Tully6-2, 4-6, 0-1
W#4 DoublesRossana OKAMURA / Zorayda Hidalgo vs Jeanne Wickwire / Lori Kaplan7-6, 7-6
2022-01-06vs Broward/Veltri - KoonLost 12
L#1 DoublesKerri Paul / Sarah Nickoson vs Patricia Guest / Lou Armstrong2-6, 6-3, 1-0
W#3 DoublesRossana OKAMURA / Rosana Renzi vs Kathy Koon / Ina Gluck6-2, 7-5
L#4 DoublesNatalia Frantsevskaya / Zorayda Hidalgo vs Clarena Furtado / Gloria Coursey0-6, 5-7
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 4.0 Adult Women 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 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.

3.92
Paulina Riveros
usually #2 Doubles 50%, also #4 Doubles 25% · published 4
3.87
Natalia Frantsevskaya
usually #4 Doubles 33%, also #1 Doubles 33% · published 4
3.79
Garbine de la Mora
usually #3 Doubles 50%, also #1 Doubles 25% · published 4
Cheryl Bonno
published 4
3.74
Rossana OKAMURA
usually #2 Doubles 50%, also #3 Doubles 25% · published 4
3.73
Taciana Kalili
published
3.70
Sarah Nickoson
usually #1 Doubles 60%, also #2 Doubles 40% · published 4
3.66
Zorayda Hidalgo
published
3.62
Natalia de Gregorio
published
3.58
Sigal Sasson
published
3.24
Kerri Paul
usually #2 Doubles 50%, also #1 Doubles 30% · published 3.5
3.23
Camille Aponte
published 3.5
2.53
Sara Contreras
published
Rosana Fernandez
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.

Natalia Frantsevskaya + Rossana OKAMURA7751% games+0.7% vs expected
Ana Carolina Manchester + Rossana OKAMURA3347% games−4.9% vs expected
Kerri Paul + Garbine de la Mora7255% gamesnot enough data
Paulina Riveros + Rossana OKAMURA6264% gamesnot enough data
Paulina Riveros + Sarah Nickoson3358% gamesnot enough data
Paulina Riveros + Natalia Frantsevskaya224 matchesnot enough data
Paulina Riveros + Garbine de la Mora134 matchesnot enough data
Zorayda Hidalgo + Rossana OKAMURA224 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
Paulina Riveros
110W–62L career · 4 lines in 2022
<1%72%28%
3.92
4
Natalia Frantsevskaya
169W–134L career · 3 lines in 2022
<1%84%16%
3.87
4
Garbine de la Mora
284W–129L career · 8 lines in 2022
1%94%5%
3.79
4
Cheryl Bonno
4W–10L career · no lines in 2022
not enough data
4
Rossana OKAMURA
267W–161L career · 4 lines in 2022
3%94%2%
3.74
Taciana Kalili
3W–5L career · no lines in 2022
4%94%2%
3.73
4
Sarah Nickoson
107W–161L career · 5 lines in 2022
6%93%1%
3.70
4
Ana Carolina Manchester
14W–12L career · no lines in 2022
6%93%1%
3.70
Zorayda Hidalgo
8W–10L career · no lines in 2022
11%89%<1%
3.66
Natalia de Gregorio
1W–2L career · no lines in 2022
18%82%<1%
3.62
Sigal Sasson
5W–7L career · no lines in 2022
27%73%<1%
3.58
3.5
Kerri Paul
281W–174L career · 10 lines in 2022
3%94%2%
3.24
3.5
Camille Aponte
14W–15L career · no lines in 2022
4%94%2%
3.23
Sara Contreras
20W–28L career · no lines in 2022
40%60%<1%
2.53
Rosana Fernandez
1W–1L career · no lines in 2022
not enough data

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.