Teams

CHI F CW6.5 4.Gnvw Shin Sun 3 $21

Fall Combo · Women 6.5

17 players · average NTRP 3.32 / 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 →
Flight standings6 teams · Women 6.5
TeamWLInd. WInd. LSets lostGames lost
1CHI F CW6.5 1.XS Zunkel Sun 4 $27000000
2CHI F CW6.5 2.RT Cox Sun 2 $29000000
3CHI F CW6.5 3.ACN Berman Fri 7 $24000000
4CHI F CW6.5 4.Gnvw Shin Sun 3 $21000000
5CHI F CW6.5 5.Gnvw Tromp Sat 5 $21000000
6CHI F CW6.5 6.MTB Zusman Sat 4 $29000000

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 3.10 estimated across 16 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.

3.95
Haina Shin
published 4
3.63
Emily Lund
published 4
3.61
Alexandra Anlas
published 3.5
3.57
Kajal Sangal
published 3.5
3.49
3.11
Karla Gidwani
published 3.5
3.07
Blair Brodie
published 3.5
3.01
Jen Funches
published
2.98
Carine Petrovic
published 3
2.97
Nicole Corrigan
published 3
2.97
Meg Hui
published 3
2.87
Diana Atad
published 3
2.85
Dina DeLaurentis
published 3
2.84
2.33
Edith Chen
published 2.5
2.28
Heejin Shin
published 3
Naoka Shin
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.

Karla Gidwani + Jen Funches11265% games+16.1% vs expected
Nicole Corrigan + Alexandra Anlas5256% gamesnot enough data
Haina Shin + Naoka Shin0638% gamesnot enough data
Jen Funches + Carine Petrovic5077% gamesnot enough data
Michelle Pilipauskas + Alexandra Anlas224 matchesnot enough data
Edith Chen + Emily Lund224 matchesnot enough data
Kajal Sangal + Alexandra Anlas303 matchesnot enough data
Marjorie Baltazar + Emily Lund303 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
Haina Shin
290W–131L career · no lines in 2026
<1%65%35%
3.95
4
Emily Lund
256W–130L career · no lines in 2026
17%83%<1%
3.63
3.5
Alexandra Anlas
56W–21L career · no lines in 2026
<1%19%81%
3.61
3.5
Kajal Sangal
53W–41L career · no lines in 2026
<1%28%72%
3.57
4
Marjorie Baltazar
183W–85L career · no lines in 2026
54%46%<1%
3.49
3.5
Karla Gidwani
53W–31L career · no lines in 2026
19%80%<1%
3.11
3.5
Blair Brodie
1W–2L career · type S · no lines in 2026
31%69%<1%
3.07
Jen Funches
40W–12L career · no lines in 2026
<1%46%54%
3.01
3
Carine Petrovic
23W–2L career · no lines in 2026
<1%56%44%
2.98
3
Nicole Corrigan
15W–19L career · type S · no lines in 2026
<1%59%41%
2.97
3
Meg Hui
71W–58L career · no lines in 2026
<1%60%40%
2.97
3
Diana Atad
105W–88L career · no lines in 2026
<1%85%15%
2.87
3
Dina DeLaurentis
53W–64L career · no lines in 2026
<1%87%12%
2.85
Michelle Pilipauskas
40W–42L career · no lines in 2026
<1%88%11%
2.84
2.5
Edith Chen
2W–2L career · type S · no lines in 2026
0%90%10%
2.33
3
Heejin Shin
3W–25L career · type S · no lines in 2026
95%5%<1%
2.28
Naoka Shin
3W–9L 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.