Teams

Veltri - Yonghong

2022 Broward Mixed Mombo 18 & Over · 8.5

10 players · average NTRP 4.44 / REGION_8

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Schedule4 played
2022-11-22vs Broward Midtown -IbarraLost 02
L#1 DoublesGricel Boto Bernales / Jorge Nieto Castellanos vs Maria Suarez / PEDRO REGGIARDO3-6, 1-6
L#2 DoublesYonghong Chen / Franklyn Peart vs Javier Gomez / Erin Lorenz4-6, 0-6
2022-11-02vs Sunrise - De AndreisLost 03
L#1 DoublesJorge Nieto Castellanos / Helene Buechele vs Jorge Balsamo / Camila Giraldo3-6, 2-6
L#2 DoublesGricel Boto Bernales / Carlos Muniz vs Franco de Andreis / Sally Guerra3-6, 6-7
L#3 DoublesSharon Tompkins / Kenny Oliver vs Daniela Hernandez / William Pacanins3-6, 3-6
2022-10-21vs Midtown - KaliliSplit 11
L#2 DoublesKenny Oliver / Kimberly OMahony vs Taciana Kalili / ROBERTO ANTONIO6-7, 1-6
W#3 DoublesEstefania Lacoa / Sean Lowery vs Amanda Brahim / JORGE CORTES6-7, 7-6, 1-0
2022-10-07vs Broward Midtown -IbarraLost 02
L#2 DoublesJorge Nieto Castellanos / Gricel Boto Bernales vs Lizette Ibarra / Antonio Macias Valdes1-6, 2-6
L#3 DoublesScott Eagle / Ellen Raskin vs Juan Pablo Cofino / Maria Suarez3-6, 0-6
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 8.5 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 3.96 estimated across 9 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.

Franklyn Peart
usually #2 Doubles 100% · published 4.5
4.15
Estefania Lacoa
usually #3 Doubles 100% · published 4.5
4.15
Kenny Oliver
usually #2 Doubles 50%, also #3 Doubles 50% · published 4.5
4.14
Helene Buechele
published 4.5
4.09
Gricel Boto Bernales
usually #2 Doubles 67%, also #1 Doubles 33% · published 4.5
4.02
Kimberly OMahony
usually #2 Doubles 100% · published 4.5
3.92
Ellen Raskin
usually #3 Doubles 100% · published 4.5
3.79
Sharon Tompkins
published
3.76
Jorge Nieto Castellanos
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.63
Sean Lowery
published
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
Franklyn Peart
37W–73L career · 1 line in 2022
not enough data
4.5
Estefania Lacoa
239W–119L career · 1 line in 2022
13%87%<1%
4.15
4.5
Kenny Oliver
94W–80L career · 2 lines in 2022
13%87%<1%
4.15
4.5
Helene Buechele
2W–8L career · no lines in 2022
14%86%<1%
4.14
4.5
Gricel Boto Bernales
343W–260L career · 3 lines in 2022
24%76%<1%
4.09
4.5
Kimberly OMahony
77W–46L career · 1 line in 2022
44%55%<1%
4.02
4.5
Ellen Raskin
40W–70L career · 1 line in 2022
73%27%<1%
3.92
Sharon Tompkins
14W–7L career · no lines in 2022
1%93%6%
3.79
4
Jorge Nieto Castellanos
112W–85L career · 3 lines in 2022
2%95%3%
3.76
Sean Lowery
7W–16L career · no lines in 2022
16%84%<1%
3.63

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.