Teams

CDTA S M18&O8.0 1.Tam Wright Tue 7 $22

1Summer Mixed 18&O WN · WE

20 players · average NTRP 3.90 / 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 →
Schedule5 played
W#1 DoublesYoungbin Lim / Mary Kate Montgomery vs Joseph Daumen / Kristin Lamb6-0, 6-3
L#3 DoublesTanner Roach / Kate Currier vs Caitlin Ward / Tom Buerger2-6, 5-7
W#1 DoublesYoungbin Lim / Mary Kate Montgomery vs Ken Sitar / Lydia Doyle6-1, 6-2
W#3 DoublesTanner Roach / Claudia Ma vs Corinn Hanson / Brian Atad6-3, 6-4
L#1 DoublesTaya Zoubareva / Geoffrey Miller vs Ken Sitar / Yuko Haggerty4-6, 4-6
W#2 DoublesYoungbin Lim / Mary Kate Montgomery vs Carlos Flores / Marie Reece6-4, 5-6, 1-0
2026-06-02Won 10
W#1 DoublesYoungbin Lim / Mary Kate Montgomery vs Caroline Liu / Mihir Joshi6-2, 6-4
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 standings5 teams · WE
TeamWLInd. WInd. LSets lostGames lost
1CDTA S M18&O8.0 1.Tam Wright Tue 7 $227118614137
2CDTA S M18&O8.0 3.Nielsen Phelps Sun 4 $226115615137
3CDTA S M18&O8.0 5.RT Burks Sat 7 $273591531208
4CDTA S M18&O8.0 4.FV Hayashida Sun 9 $251571124173
5CDTA S M18&O8.0 2.CPE Sitar Fri 7 $281651632224

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 3.90 estimated across 18 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.

4.59
Taya Zoubareva
published 4.5
4.41
Ayano Nakamura
usually #2 Doubles 60%, also #1 Doubles 20% · published 4.5
4.13
Kim Kuwabara
published 4
4.11
Claudia Ma
usually #3 Doubles 50%, also #2 Doubles 25% · published 4
4.03
Rafael Lozada
published 4
3.99
Youngbin Lim
usually #1 Doubles 73%, also #2 Doubles 27% · published
3.97
Kate Currier
published 4
3.96
Huan Chang
published 4
3.94
Sophia Chang Stauffer
usually #2 Doubles 100% · published 4
3.90
Justin Booms
usually #2 Doubles 75%, also #3 Doubles 25% · published
3.88
3.77
Mary Kate Montgomery
usually #1 Doubles 75%, also #2 Doubles 25% · published
3.75
Illana Hodges
usually #1 Doubles 100% · published 4
3.66
Tanner Roach
usually #3 Doubles 100% · published
3.58
Geoffrey Miller
usually #1 Doubles 100% · published 3.5
3.57
Joel McVey
published 3.5
3.48
Rick Spurgeon
published 3.5
3.47
Tina Cid
published 3.5
Peter Shields
usually #1 Doubles 75%, also #2 Doubles 25% · 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.

Joel McVey + Ayano Nakamura8265% games+18.4% vs expected
Mary Kate Montgomery + Youngbin Lim14266% games+12.0% vs expected
Youngbin Lim + Ayano Nakamura8355% games+7.7% vs expected
Geoffrey Miller + Taya Zoubareva5458% games+3.4% vs expected
Rick Spurgeon + Taya Zoubareva4258% games+0.2% vs expected
Huan Chang + Youngbin Lim5160% gamesnot enough data
Justin Booms + Ayano Nakamura5163% gamesnot enough data
Claudia Ma + Rafael Lozada5060% gamesnot 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%23%77%
4.59
4.5
Ayano Nakamura
331W–128L career · 5 lines in 2026
<1%75%25%
4.41
4
Kim Kuwabara
174W–33L career · no lines in 2026
<1%16%84%
4.13
4
Claudia Ma
41W–13L career · 4 lines in 2026
<1%20%80%
4.11
4
Rafael Lozada
223W–106L career · no lines in 2026
<1%41%59%
4.03
Youngbin Lim
208W–72L career · 11 lines in 2026
<1%52%48%
3.99
4
Kate Currier
40W–11L career · no lines in 2026
<1%60%40%
3.97
4
Huan Chang
201W–143L career · no lines in 2026
<1%61%39%
3.96
4
Sophia Chang Stauffer
97W–67L career · 1 line in 2026
<1%67%33%
3.94
Justin Booms
101W–55L career · 4 lines in 2026
<1%78%22%
3.90
4
YOSHITAKA KUMAGAI
85W–30L career · no lines in 2026
<1%82%18%
3.88
Mary Kate Montgomery
31W–17L career · 4 lines in 2026
2%94%4%
3.77
4
Illana Hodges
164W–80L career · 1 line in 2026
3%95%3%
3.75
Tanner Roach
18W–11L career · 2 lines in 2026
11%88%<1%
3.66
3.5
Geoffrey Miller
57W–45L career · 1 line in 2026
<1%28%72%
3.58
3.5
Joel McVey
111W–23L career · no lines in 2026
<1%30%70%
3.57
3.5
Rick Spurgeon
141W–59L career · no lines in 2026
<1%57%43%
3.48
3.5
Tina Cid
83W–29L career · no lines in 2026
<1%60%40%
3.47
3.5
Fra Angelica Farinas- Wright
70W–29L career · no lines in 2026
not enough data
Peter Shields
156W–72L career · 4 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.