Teams

CDTA S 55&OW8.0 6.CC Carvell Sun 10 $22

1Summer 55&O WN · WE

14 players · average NTRP 3.81 / 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 standings8 teams · WE
TeamWLInd. WInd. LSets lostGames lost
1CDTA S 55&OW8.0 7.STP Pirron Mon 7 $22701838115
2CDTA S 55&OW8.0 3.STP Eisner Sun 10 $226113817161
3CDTA S 55&OW8.0 4.Tam Corey Sun 1 $224314717160
4CDTA S 55&OW8.0 2.Nielsen Ueda Sun 1 $223491227188
5CDTA S 55&OW8.0 5.STP ODonnell Thu 7 $223481329207
6CDTA S 55&OW8.0 1.NTC Tenuta Thu 7 $2425101126183
7CDTA S 55&OW8.0 6.CC Carvell Sun 10 $222571429197
8CDTA S 55&OW8.0 8.OakP(OUT) Roberts Sun 2 $201651634220

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 3.52 estimated across 14 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.

3.88
Stephanie Batka
published 4
3.76
Lara Phillips
usually #2 Doubles 100% · published 4
3.71
Patricia Behnke
published 4
3.63
Margo Carvell
usually #1 Doubles 100% · published 3.5
3.60
Raquel Karpinski
published 4
3.60
Erin Wyatt
usually #3 Doubles 40%, also #2 Doubles 40% · published
3.60
Youngran Chung
published 4
3.59
3.58
Mya Murata
usually #3 Doubles 100% · published 4
3.51
Irene Powers
published 4
3.40
Nancy Maska
published 3.5
3.22
Ann Wiet
published 3.5
3.17
Julie Pawula
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.10
Mishez Avari
usually #2 Doubles 100% · published 3.5
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.

Lara Phillips + Raquel Karpinski6552% games+2.8% vs expected
Youngran Chung + Margo Carvell12855% games+2.7% vs expected
Mya Murata + Patricia Behnke6257% games+1.6% vs expected
Stephanie Batka + Patricia Behnke8556% games+1.3% vs expected
Stephanie Batka + Raquel Karpinski91451% games+0.9% vs expected
Youngran Chung + Patricia Behnke7751% games+0.2% vs expected
Lara Phillips + Erin Wyatt213050% games−1.6% vs expected
Mya Murata + Stephanie Batka11752% games−3.3% vs expected
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
Stephanie Batka
329W–235L career · no lines in 2026
<1%80%19%
3.88
4
Lara Phillips
98W–91L career · 1 line in 2026
3%92%5%
3.76
4
Patricia Behnke
103W–89L career · no lines in 2026
7%91%2%
3.71
3.5
Margo Carvell
138W–93L career · 1 line in 2026
<1%18%82%
3.63
4
Raquel Karpinski
83W–105L career · no lines in 2026
23%77%<1%
3.60
Erin Wyatt
44W–75L career · 5 lines in 2026
24%76%<1%
3.60
4
Youngran Chung
76W–87L career · no lines in 2026
25%75%<1%
3.60
4
Barbara Lee-Budin
10W–24L career · no lines in 2026
26%74%<1%
3.59
4
Mya Murata
95W–100L career · 1 line in 2026
28%72%<1%
3.58
4
Irene Powers
32W–41L career · no lines in 2026
48%52%<1%
3.51
3.5
Nancy Maska
52W–89L career · no lines in 2026
<1%76%24%
3.40
3.5
Ann Wiet
100W–95L career · no lines in 2026
6%92%2%
3.22
3.5
Julie Pawula
73W–120L career · 2 lines in 2026
12%88%1%
3.17
3.5
Mishez Avari
53W–87L career · 1 line in 2026
24%76%<1%
3.10

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.