Teams

CDTA S M18&O9.0 2.Wilm Wright Sun 11 $22

1Summer Mixed 18&O WN · WE

24 players · average NTRP 4.44 / CHICAGO

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule6 played
L#1 DoublesCriszelle Elise Castro / Youngbin Lim vs Keara Miller / Nick Charlton-Perrin6-7, 4-5
L#2 DoublesMary Therese Lee / Mihir Joshi vs Amanda Connell / Leo Caro6-7, 3-5
W#1 DoublesSarah Monteagudo / Youngbin Lim vs Cole Heule / Alice Copland6-3, 6-4
L#2 DoublesAyano Nakamura / Jonathan Diamond vs Claire Buehler / John Mysz4-6, 7-6, 1-0
L#2 DoublesConnor Stelter / Uta Raina vs Christine Campanelli / William Wallace6-7, 1-6
W#3 DoublesTomomi Nagao / Young Choi vs Liam Schenk / Sophia Chang Stauffer3-6, 5-4, 1-0
W#1 DoublesAyano Nakamura / Jonathan Diamond vs Leo Caro / Miyako Coffey6-4, 6-3
L#2 DoublesCriszelle Elise Castro / Justin Booms vs Chandana Namburi / John Mysz3-6, 2-6
L#3 DoublesJonathon Schmidt / Marialin Lomongo vs Brittany Ballog / Daniel Lek7-6, 3-6, 0-1
W#2 DoublesMegan Nguyen / Omar Montano vs Cole Heule / Keara Miller6-3, 7-6
L#3 DoublesJustin Booms / Sarah Monteagudo vs Jacob Mayles / Elaine Ni4-6, 5-3, 0-1
L#1 DoublesMaja Kozerski / Alex Yan vs Keli Wildermuth / Kevin Wallace6-7, 1-6
L#3 DoublesMary Therese Lee / Charles Ahn vs Sophia Chang Stauffer / Liam Schenk5-7, 1-6
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 standings3 teams · WE
TeamWLInd. WInd. LSets lostGames lost
1CDTA S M18&O9.0 1.Tam Copland Sun 3 $227116823222
2CDTA S M18&O9.0 2.Wilm Wright Sun 11 $222481024187
3CDTA S M18&O9.0 3.Lake Chang Sun 7 $261561224182

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 4.17 estimated across 19 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.

Criszelle Elise Castro
usually #2 Doubles 50%, also #1 Doubles 50% · published 5
4.47
Chandler Stimpert
published 4.5
4.40
Sarah Monteagudo
usually #1 Doubles 50%, also #3 Doubles 50% · published
4.40
Meghana Paritala
published 4.5
4.38
Alex Yan
usually #1 Doubles 100% · published 4.5
4.37
Ayano Nakamura
usually #2 Doubles 60%, also #1 Doubles 20% · published 4.5
4.32
Megan Nguyen
usually #2 Doubles 100% · published
4.32
Marialin Lomongo
published 4.5
4.31
Tomomi Nagao
usually #3 Doubles 100% · published
4.30
Mihir Joshi
usually #1 Doubles 80%, also #2 Doubles 20% · published
4.27
Connor Stelter
usually #2 Doubles 100% · published 4.5
4.17
Mary Therese Lee
usually #2 Doubles 50%, also #3 Doubles 50% · published
4.14
Jonathan Diamond
usually #1 Doubles 50%, also #2 Doubles 50% · published
4.12
Claudia Ma
usually #3 Doubles 50%, also #2 Doubles 25% · published 4
3.98
Omar Montano
usually #2 Doubles 100% · published
3.96
Youngbin Lim
usually #1 Doubles 73%, also #2 Doubles 27% · published
3.95
Jonathon Schmidt
usually #3 Doubles 100% · published
3.86
Koki Saito
usually #1 Doubles 50%, also #3 Doubles 25% · published
3.78
Justin Booms
usually #2 Doubles 75%, also #3 Doubles 25% · published
3.71
Charles Ahn
usually #3 Doubles 100% · published 4
Jason Hui
published
Ken Sitar
usually #1 Doubles 100% · published
Maja Kozerski
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.

Youngbin Lim + Ayano Nakamura6255% games+3.8% vs expected
Marialin Lomongo + Youngbin Lim6355% gamesnot enough data
Ken Sitar + Mary Therese Lee4157% gamesnot enough data
Marialin Lomongo + Justin Booms3245% gamesnot enough data
Mary Therese Lee + Youngbin Lim2352% gamesnot enough data
Jonathon Schmidt + Marialin Lomongo134 matchesnot enough data
Mary Therese Lee + Justin Booms314 matchesnot enough data
Tomomi Nagao + Youngbin Lim404 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.

5
Criszelle Elise Castro
9W–3L career · type M · 2 lines in 2026
not enough data
4.5
Chandler Stimpert
11W–2L career · type A · no lines in 2026
<1%57%43%
4.47
Sarah Monteagudo
55W–24L career · 2 lines in 2026
<1%<1%>99%
4.40
4.5
Meghana Paritala
13W–20L career · type S · no lines in 2026
<1%77%23%
4.40
4.5
Alex Yan
22W–6L career · 1 line in 2026
<1%79%20%
4.38
4.5
Ayano Nakamura
286W–110L career · 5 lines in 2026
<1%82%18%
4.37
Megan Nguyen
100W–40L career · 1 line in 2026
<1%1%99%
4.32
4.5
Marialin Lomongo
322W–137L career · no lines in 2026
1%89%10%
4.32
Tomomi Nagao
43W–16L career · 1 line in 2026
<1%1%99%
4.31
Mihir Joshi
30W–17L career · 5 lines in 2026
2%91%8%
4.30
4.5
Connor Stelter
16W–9L career · type M · 1 line in 2026
3%92%5%
4.27
Mary Therese Lee
183W–110L career · 2 lines in 2026
<1%12%88%
4.17
Jonathan Diamond
25W–11L career · 2 lines in 2026
15%84%1%
4.14
4
Claudia Ma
41W–13L career · 4 lines in 2026
<1%19%81%
4.12
Omar Montano
50W–19L career · 1 line in 2026
<1%54%46%
3.98
Youngbin Lim
205W–71L career · 11 lines in 2026
<1%61%39%
3.96
Jonathon Schmidt
11W–26L career · 1 line in 2026
64%36%<1%
3.95
Koki Saito
40W–12L career · 4 lines in 2026
1%84%15%
3.86
Justin Booms
94W–54L career · 4 lines in 2026
2%92%6%
3.78
4
Charles Ahn
29W–34L career · 1 line in 2026
7%91%2%
3.71
Fra Angelica Farinas- Wright
62W–25L career · no lines in 2026
not enough data
Jason Hui
44W–31L career · no lines in 2026
not enough data
Ken Sitar
90W–62L career · 3 lines in 2026
not enough data
Maja Kozerski
11W–13L career · 1 line 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.