Teams

Veltri -Chen/Brill

2022 Broward Mixed 18 & Over · 6.0

8 players · average NTRP 3.20 / REGION_8

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Schedule8 played
2022-06-28vs Veltri - GoldsteinWon 10
W#1 DoublesJose Muriel / Liliana Arbelaez vs Mike Mandell / Heidi Mandell6-3, 7-6
2022-06-23vs Veltri - GoldsteinWon 10
W#1 DoublesTheodore Brill / Liliana Arbelaez vs Joe Goldstein / Mary Goldstein4-6, 6-3, 1-0
2022-06-14vs Piccolo - SanabriaLost 01
L#2 DoublesNING YAN / Juan Godoy vs Jody Julmice / JUAN SANABRIA6-2, 6-7, 0-1
2022-06-07vs Midtown - NunezWon 20
W#1 DoublesLiliana Arbelaez / Jose Muriel vs Maritza Craig / Syyed Khan7-5, 6-0
W#2 DoublesEdward Ng / NING YAN vs Mario Correa / Margaret Diaz6-2, 3-6, 1-0
2022-06-02vs Midtown - NunezSplit 11
W#1 DoublesJose Muriel / NING YAN vs Andres Intriago / Shamena Khan6-4, 7-5
L#2 DoublesLiliana Arbelaez / Theodore Brill vs William Krinickas / Juan Yang3-6, 6-4, 1-0
2022-05-24vs Broward/Midtown - PradoLost 02
L#1 DoublesTheodore Brill / Liliana Arbelaez vs JUAN GARCIA / MARIANA DURANTE1-6, 1-6
L#2 DoublesNING YAN / Alvaro Romero vs Mel Tejada / Sima Sadoughi3-6, 4-6
2022-05-10vs Piccolo - SanabriaWon 10
W#1 DoublesTheodore Brill / Liliana Arbelaez vs Porfirio Cardenas / Jody Julmice6-3, 6-1
2022-04-19vs Broward/Midtown - PradoLost 01
L#2 DoublesNING YAN / Juan Godoy vs Jorge Prado / Tatiana Prado2-6, 4-6
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 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 3.07 estimated across 8 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.

3.46
NING YAN
usually #2 Doubles 44%, also #1 Doubles 44% · published 3.5
3.24
Ingrid Solomon
published 3.5
3.12
Liliana Arbelaez
usually #1 Doubles 83%, also #2 Doubles 17% · published 3
3.08
Robin Hayden
published
3.00
Theodore Brill
published
2.91
Juan Godoy
published
2.88
Debra Reed
published 3
2.86
Edward Ng
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.

Ingrid Solomon + Theodore Brill303 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.

3.5
NING YAN
108W–75L career · 9 lines in 2022
<1%62%38%
3.46
3.5
Ingrid Solomon
7W–2L career · type S · no lines in 2022
3%94%2%
3.24
3
Liliana Arbelaez
137W–120L career · 6 lines in 2022
<1%18%82%
3.12
Robin Hayden
8W–12L career · no lines in 2022
28%72%<1%
3.08
Theodore Brill
27W–17L career · no lines in 2022
<1%49%51%
3.00
Juan Godoy
16W–15L career · no lines in 2022
<1%76%24%
2.91
3
Debra Reed
25W–17L career · no lines in 2022
<1%82%18%
2.88
3
Edward Ng
30W–13L career · no lines in 2022
<1%85%14%
2.86

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.