Teams

CDTA S ComboX7.5 4.Wilm Wright Fri 7 $22

1Summer Combo Mix WN · WE

19 players · average NTRP 3.71 / CHICAGO

View scouting list →
Schedule7 played
W#1 DoublesHilario Salgado / Ayano Nakamura vs Jean Soh / Rod Ganesan1-6, 7-5, 1-0
W#2 DoublesMarialin Lomongo / Thomas Kim vs Haina Shin / Tony Ling1-6, 6-2, 1-0
W#3 DoublesClaudia Ma / Emmanuel Antonio vs Elizabeth Burns / John Xia6-3, 6-1
W#1 DoublesMary Therese Lee / Thomas Kim vs Kim Johnson Flodin / Jazz Burks6-3, 1-6, 1-0
W#3 DoublesClaudia Ma / Robert Cal vs Kristin Brown / Jorge Trejo6-3, 6-2
W#2 DoublesAnne Ordway / Jeffrey Servita vs Meghana Paritala / Lucas Majewski1-6, 6-2, 1-0
W#3 DoublesClaire Tramm / Young Choi vs Beth Lubotsky / Pramod Tummala3-6, 6-3, 1-0
L#2 DoublesMarialin Lomongo / Andrew Servita vs Lisa Young / John Li3-6, 4-6
W#3 DoublesAyano Nakamura / Hilario Salgado vs Emily Doyle / Noah Roberts6-2, 6-4
W#2 DoublesMarialin Lomongo / Andrew Servita vs Anne Ryan / John Zich1-6, 7-6, 1-0
W#3 DoublesAyano Nakamura / Thomas Kim vs John Raetz / Jacqueline Espiritu6-0, 6-1
W#1 DoublesBrian Donnelly / Ayano Nakamura vs Emily Tysl / Dennis Tysl6-2, 6-1
L#3 DoublesPatty Lynch / Youngbin Lim vs Emily Anderson / Alfred Tam4-6, 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 standings10 teams · WE
TeamWLInd. WInd. LSets lostGames lost
1CDTA S ComboX7.5 5.RT Spinazze Sat 7 $277117714151
2CDTA S ComboX7.5 9.Gnbk Tysl Sun 5 $307220719202
3CDTA S ComboX7.5 8.McFet Baltazar Sun 3 $255212920189
4CDTA S ComboX7.5 3.CPW Yang Sat 6 $285315921179
5CDTA S ComboX7.5 1.MTC Brown Sat 7 $33.544121226200
6CDTA S ComboX7.5 4.Wilm Wright Fri 7 $2234111025203
7CDTA S ComboX7.5 6.HF Parks Tue 7 $2235131124179
8CDTA S ComboX7.5 2.Diver (OUT) Spade Sun 3 $163672043283
9CDTA S ComboX7.5 10.RT Burks Thu 7 $272772044290
10CDTA S ComboX7.5 7.STP Hayashida Sun 3 $251661532209

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 3.72 estimated across 15 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.

4.53
Taya Zoubareva
published 4.5
4.37
Ayano Nakamura
usually #1 Doubles 50%, also #3 Doubles 50% · published 4.5
4.32
Marialin Lomongo
usually #2 Doubles 100% · published 4.5
4.17
Mary Therese Lee
usually #1 Doubles 100% · published
4.12
Claudia Ma
usually #3 Doubles 100% · published 4
4.00
Rafael Lozada
published 4
3.96
Youngbin Lim
usually #3 Doubles 100% · published
3.90
Anne Ordway
published 4
Daniel Mendoza
published 4
3.41
Tanja Boskovic
published 3.5
3.40
Jeffrey Servita
usually #2 Doubles 100% · published
3.29
Claire Tramm
usually #3 Doubles 100% · published 3
3.19
Robert Cal
published 3.5
3.17
Emmanuel Antonio
usually #3 Doubles 100% · published 3.5
3.04
Andrew Servita
usually #2 Doubles 100% · published 3
2.94
Hilario Salgado
usually #1 Doubles 100% · published 3
Brian Donnelly
published 3
Patty Lynch
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.

Youngbin Lim + Ayano Nakamura6255% games+3.8% vs expected
Marialin Lomongo + Andrew Servita7448% games−12.6% vs expected
Marialin Lomongo + Youngbin Lim6355% gamesnot enough data
Claudia Ma + Rafael Lozada5060% gamesnot enough data
Claudia Ma + Robert Cal3256% gamesnot enough data
Mary Therese Lee + Youngbin Lim2352% gamesnot enough data
Mary Therese Lee + Rafael Lozada123 matchesnot enough data
Rafael Lozada + Taya Zoubareva303 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
Taya Zoubareva
125W–60L career · no lines in 2026
<1%42%58%
4.53
4.5
Ayano Nakamura
286W–110L career · 4 lines in 2026
<1%82%18%
4.37
4.5
Marialin Lomongo
322W–137L career · 1 line in 2026
1%89%10%
4.32
Mary Therese Lee
183W–110L career · 1 line in 2026
<1%12%88%
4.17
4
Claudia Ma
41W–13L career · 2 lines in 2026
<1%19%81%
4.12
4
Rafael Lozada
213W–103L career · no lines in 2026
<1%51%49%
4.00
Youngbin Lim
205W–71L career · 1 line in 2026
<1%61%39%
3.96
4
Anne Ordway
77W–67L career · no lines in 2026
<1%77%23%
3.90
4
Daniel Mendoza
19W–21L career · no lines in 2026
not enough data
3.5
Tanja Boskovic
194W–136L career · no lines in 2026
<1%75%25%
3.41
Jeffrey Servita
37W–28L career · 1 line in 2026
<1%<1%>99%
3.40
3
Claire Tramm
29W–7L career · 1 line in 2026
<1%2%98%
3.29
3.5
Robert Cal
172W–106L career · no lines in 2026
9%90%1%
3.19
3.5
Emmanuel Antonio
65W–28L career · 1 line in 2026
12%87%1%
3.17
3
Andrew Servita
37W–36L career · 2 lines in 2026
<1%38%62%
3.04
3
Hilario Salgado
44W–53L career · 1 line in 2026
<1%66%34%
2.94
3
Brian Donnelly
4W–3L career · type S · no lines in 2026
not enough data
Fra Angelica Farinas- Wright
62W–25L career · no lines in 2026
not enough data
Patty Lynch
28W–28L career · no lines in 2026
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.