Teams

Brod/Montali

2023 Tri-Level Metro · 3.5

22 players · average NTRP 4.05 / METROPOLITAN REGION

View scouting list →
Schedule10 played
2023-11-19vs Lam/BindlerLost 03
L#1 DoublesCourtney Sokol / Federica Sartori vs Jacqueline Clark / Lucila Herrera Parkinson0-6, 1-6
L#2 DoublesYue Yin / Anli Zhang vs Maddie Arnold / Stephany Bonney1-6, 0-6
L#3 DoublesKatherine Martin / Bianca Isabela Catoto vs Sarina Shahmoon-Kleinman / May Chee6-1, 6-7, 0-1
2023-11-16vs Bacey/BonadonnaWon 21
W#1 DoublesLizaveta Markouskaya / Xilin Zhou vs N/A6-0, 6-0
W#2 DoublesChloe Boniface / Jennifer Rudd vs Bonnie Aves / Annette Delgado6-0, 7-5
L#3 DoublesBianca Isabela Catoto / Melissa Brod vs Shanon Blue / Emily Capobianco3-6, 6-3, 0-1
2023-11-08vs Eichenbaum/HyamsWon 21
W#1 DoublesRegi Monroe / Xilin Zhou vs N/A6-0, 6-0
W#2 DoublesLizaveta Markouskaya / Jennifer Rudd vs Caitlin Druker / MacKinna Hart6-2, 6-3
L#3 DoublesAnn Simon / Melissa Brod vs Jennifer Sales / Margaret Xu4-6, 3-6
2023-10-22vs GouldLost 12
L#1 DoublesYue Yin / Federica Sartori vs Hanna Feldman / Amelie Bruzat1-6, 4-6
L#2 DoublesElizabeth Yuan / Bianca Isabela Catoto vs Karen Blakely / Jackie Meretsky4-6, 4-6
W#3 DoublesEsther Hong / Tenten Wu vs Elizabeth Gormley / Jeanne Straus7-5, 6-4
2023-10-19vs Metro: ZhouLost 12
L#1 DoublesLizaveta Markouskaya / Courtney Sokol vs Janine Sadaka / Brittney Eady2-6, 2-6
L#2 DoublesKelli Eliopoulos / Amy Kim vs Clara Ceccaldi / Gabriella Nagy2-6, 2-6
W#3 DoublesEsther Hong / Paola Michel vs Hayley Mink / Jessica Rymer7-5, 5-6
2023-10-15vs Lam/BindlerLost 12
L#1 DoublesRegi Monroe / Xilin Zhou vs Maria Salnikowa / Maddie Arnold7-5, 2-6, 0-1
W#2 DoublesCourtney Sokol / Chloe Boniface vs Stephany Bonney / Yvette Gong7-5, 4-6
L#3 DoublesEsther Hong / Melissa Brod vs Tran Lam / May Chee6-7, 6-6
2023-10-08vs GouldLost 12
L#1 DoublesChloe Boniface / Courtney Sokol vs Julie Veto / Hanna Feldman4-6, 7-5, 0-1
L#2 DoublesMolly Smith / Yue Yin vs Skyler Simson / Jasmine Harris Khalil4-6, 7-5, 0-1
W#3 DoublesElizabeth Yuan / Bianca Isabela Catoto vs Patricia Gould / Nicola Chiba6-2, 6-2
2023-10-03vs Bacey/BonadonnaWon 30
W#1 DoublesRegi Monroe / Xilin Zhou vs Sondra Glueck / Katie Figgie7-5, 3-5
W#2 DoublesChloe Boniface / Lizaveta Markouskaya vs Bonnie Aves / Annette Delgado6-0, 6-4
W#3 DoublesKatherine Martin / Ann Simon vs Shanon Blue / Hazel Zaldivar6-2, 4-6, 1-0
2023-09-26vs Eichenbaum/HyamsWon 30
W#1 DoublesChloe Boniface / Regi Monroe vs Stephanie Gerst / Ayako Minatodani6-3, 6-3
W#2 DoublesFederica Sartori / Lizaveta Markouskaya vs Linda Eichenbaum / Berry Ravitz6-2, 4-6, 1-0
W#3 DoublesEsther Hong / Paola Michel vs Jennifer Sales / Fredrica Ford3-6, 7-6
2023-09-21vs Metro: ZhouLost 03
L#1 DoublesAmrita Deol / Anli Zhang vs Amy Untch / Rose Schlecker2-6, 0-6
L#2 DoublesYue Yin / Camille Mantelin vs Anna Tang / Clara Ceccaldi3-6, 1-6
L#3 DoublesEsther Hong / Elizabeth Yuan vs Hayley Mink / Jessica Rymer6-1, 1-6, 0-1
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 standings6 teams · 3.5
TeamWLInd. WInd. LSets lostGames lost
1Metro: Zhou01025514216
2Gould010141534283
3Lam/Bindler010131435284
4Brod/Montali010111636277
5Eichenbaum/Hyams010121639302
6Bacey/Bonadonna010101942297

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.64 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.

4.36
Regi Monroe
usually #1 Doubles 100% · published
Chloe Boniface
usually #2 Doubles 60%, also #1 Doubles 40% · published 4.5
4.16
Lizaveta Markouskaya
usually #2 Doubles 60%, also #1 Doubles 40% · published 4.5
4.00
Courtney Sokol
usually #1 Doubles 75%, also #2 Doubles 25% · published 4.5
3.76
Jennifer Rudd
usually #1 Doubles 67%, also #2 Doubles 33% · published
Ann Simon
usually #3 Doubles 100% · published 4
Elizabeth Yuan
usually #2 Doubles 57%, also #3 Doubles 29% · published 4
3.68
Federica Sartori
usually #1 Doubles 90%, also #2 Doubles 10% · published 4
3.65
Esther Hong
usually #3 Doubles 100% · published 4
3.64
Yue Yin
usually #2 Doubles 75%, also #1 Doubles 25% · published
3.59
Camille Mantelin
usually #2 Doubles 100% · published 4
3.50
Andrea Montali
usually #1 Doubles 100% · published 4
3.39
Bianca Isabela Catoto
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.38
Amy Kim
usually #2 Doubles 100% · published 3.5
3.17
Katherine Martin
usually #2 Doubles 75%, also #3 Doubles 25% · published
3.09
Melissa Brod
usually #3 Doubles 100% · published
Anli Zhang
usually #1 Doubles 50%, also #2 Doubles 50% · published
Kelli Eliopoulos
usually #2 Doubles 100% · published
Molly Smith
usually #2 Doubles 100% · published
Paola Michel
usually #3 Doubles 100% · published
Tenten Wu
usually #3 Doubles 100% · published
Xilin Zhou
usually #1 Doubles 100% · 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.

Elizabeth Yuan + Federica Sartori3257% games+16.7% vs expected
Jennifer Rudd + Lizaveta Markouskaya5256% games+1.4% vs expected
Esther Hong + Melissa Brod41142% games−3.8% vs expected
Jennifer Rudd + Federica Sartori4647% games−7.8% vs expected
Paola Michel + Federica Sartori3445% gamesnot enough data
Lizaveta Markouskaya + Courtney Sokol134 matchesnot enough data
Esther Hong + Elizabeth Yuan123 matchesnot enough data
Esther Hong + Tenten Wu123 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.

Regi Monroe
69W–27L career · 4 lines in 2023
<1%86%14%
4.36
4.5
Chloe Boniface
27W–2L career · 5 lines in 2023
not enough data
4.5
Lizaveta Markouskaya
76W–28L career · 5 lines in 2023
12%88%<1%
4.16
4.5
Courtney Sokol
70W–49L career · 4 lines in 2023
50%50%<1%
4.00
Jennifer Rudd
28W–18L career · 6 lines in 2023
2%94%3%
3.76
4
Ann Simon
1W–5L career · 2 lines in 2023
not enough data
4
Elizabeth Yuan
24W–25L career · 7 lines in 2023
not enough data
4
Federica Sartori
45W–51L career · 10 lines in 2023
8%91%1%
3.68
4
Esther Hong
89W–92L career · 5 lines in 2023
13%87%<1%
3.65
Yue Yin
10W–30L career · 4 lines in 2023
14%85%<1%
3.64
4
Camille Mantelin
20W–25L career · 1 line in 2023
25%75%<1%
3.59
4
Andrea Montali
17W–20L career · 3 lines in 2023
50%50%<1%
3.50
3.5
Bianca Isabela Catoto
31W–33L career · 6 lines in 2023
<1%80%20%
3.39
3.5
Amy Kim
7W–18L career · 1 line in 2023
<1%83%17%
3.38
Katherine Martin
23W–18L career · 8 lines in 2023
10%89%1%
3.17
Melissa Brod
34W–67L career · 3 lines in 2023
25%75%<1%
3.09
Anli Zhang
1W–5L career · 2 lines in 2023
not enough data
Kelli Eliopoulos
4W–12L career · 1 line in 2023
not enough data
Molly Smith
23W–18L career · 1 line in 2023
not enough data
Paola Michel
91W–65L career · 2 lines in 2023
not enough data
Tenten Wu
1W–4L career · 1 line in 2023
not enough data
Xilin Zhou
0W–2L career · 2 lines in 2023
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.