Teams

2EAST-ZAMPARDO 75 W/E WOMEN SEM F3

2022 SEM FALL COMBO DOUBLES · WOMEN 75 COMBO SEM

14 players · average NTRP 3.61 / S.E. MICHIGAN

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 →
Schedule7 played
2022-12-04vs 1COURT 4-BRADY 75 W/E WOMEN SEM F3Lost 01
L#2 DoublesClaire Mulier / Stacey Gutowsky vs Vanessa Lindow / Sandra Reynolds4-6, 2-6
W#1 DoublesMarilyn Zampardo / Julie Zamler vs Judith Swiderski / Marie Kim Lamb6-4, 6-0
W#3 DoublesSonia Miller / Dora Romanelli vs Claudine Ball / Fay Savage6-1, 6-3
W#1 DoublesMarilyn Zampardo / Sonia Miller vs Cyra Obedencio / Devynn Wojdyla6-3, 6-2
W#3 DoublesClaire Mulier / Katherine Shannon vs Judith Swiderski / Kathy Butkus6-3, 4-6, 1-0
2022-10-14vs 1COURT 4-BRADY 75 W/E WOMEN SEM F3Lost 02
L#1 DoublesSonia Miller / Marilyn Zampardo vs Janice Brady / Angela Carnaghi6-4, 4-6, 0-1
L#2 DoublesJulie Zamler / Karen Chlebnik vs Margaret Shine / Lynne Williams6-2, 4-6, 0-1
2022-10-01vs 3PEACH-PARROTT 75 W/E WOMEN SEM F3Lost 01
L#1 DoublesMarilyn Zampardo / Julie Zamler vs Ana Trsic / Natalie Luke1-6, 6-2, 0-1
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 standings23 teams · WOMEN 75 COMBO SEM
TeamWLInd. WInd. LSets lostGames lost
14HV-SHIELDS 75 W/E WOMEN SEM F28222827239
25SCWB-FARRELL 75 W/E WOMEN SEM F47119515160
33LTF-BARRY 75 DAY WOMEN SEM F17119517155
44PEACH-DEGUZMAN 75 W/E WOMEN SEM F37116819183
51LIB-SAULD 75 W/E WOMEN SEM F27323721237
62FAC-JAM 75 W/E WOMEN SEM F563171024216
71BEV-STRACHAN 75 W/E WOMEN SEM F563151232266
81COURT 4-BRADY 75 W/E WOMEN SEM F35316821189
92DEER-CARLSON 75 W/E WOMEN SEM F453121229223
102LIB-MARLEY 75 W/E WOMEN SEM F255161431260
112DEER-SUTKIEWICZ 75 DAY WOMEN SEM F144141022191
123LTF-NAJAR 75 W/E WOMEN SEM F545121534252
136TRAV-WHITELOCKE 75 W/E WOMEN SEM F24692144303
141BEV-FLYNN 75 W/E WOMEN SEM F435121229224
154BLOOM-BARLOW 75 W/E WOMEN SEM F43591535233
163CHIP-SHAW 75 W/E WOMEN SEM F237121841308
175VTC-CORTINA 75 W/E WOMEN SEM F23782247332
186LTF-MARVEL NELSON 75 W/E WOMEN SEM F42681636253
192EAST-ZAMPARDO 75 W/E WOMEN SEM F32661837239
204TROY-LIVINGSTON 75 W/E WOMEN SEM F527101739283
213PEACH-PARROTT 75 W/E WOMEN SEM F31571124173
224BLOOM-WILLIAMS 75 DAY WOMEN SEM F11732145279
23drop 9.6 0P 756087 SCWB-SHARMA 75 W/E WOMEN000000

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 3.30 estimated across 11 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.

3.78
Kristin Wikol
usually #2 Doubles 75%, also #1 Doubles 25% · published 4
3.62
Leslie Trudel
usually #1 Doubles 100% · published 4
3.48
Claire Mulier
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.47
Sonia Miller
usually #1 Doubles 67%, also #3 Doubles 33% · published
Dora Romanelli
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.24
Lynn Bechtel
usually #1 Doubles 40%, also #2 Doubles 40% · published 3.5
3.22
Julie Zamler
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.20
Stacey Gutowsky
usually #2 Doubles 60%, also #3 Doubles 40% · published 3.5
3.19
Alea Mangol
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.11
Marilyn Zampardo
usually #1 Doubles 100% · published
3.03
Susan Gallaway
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
2.94
Barbara Brown
usually #1 Doubles 40%, also #3 Doubles 40% · published 3.5
Chloe Seymour
published
Karen Chlebnik
usually #1 Doubles 50%, also #2 Doubles 50% · 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.

Susan Gallaway + Stacey Gutowsky3441% games−6.7% vs expected
Kristin Wikol + Dora Romanelli033 matchesnot enough data
Susan Gallaway + Barbara Brown213 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
Kristin Wikol
142W–126L career · 4 lines in 2022
2%94%4%
3.78
4
Leslie Trudel
36W–33L career · 2 lines in 2022
18%82%<1%
3.62
3.5
Claire Mulier
56W–25L career · 2 lines in 2022
<1%58%42%
3.48
Sonia Miller
123W–58L career · 3 lines in 2022
59%41%<1%
3.47
3.5
Dora Romanelli
91W–53L career · 6 lines in 2022
not enough data
3.5
Lynn Bechtel
87W–84L career · 5 lines in 2022
3%95%2%
3.24
Julie Zamler
34W–40L career · 3 lines in 2022
4%94%2%
3.22
3.5
Stacey Gutowsky
82W–107L career · 5 lines in 2022
6%93%1%
3.20
3.5
Alea Mangol
17W–23L career · 3 lines in 2022
8%92%1%
3.19
Marilyn Zampardo
63W–48L career · 8 lines in 2022
19%80%<1%
3.11
3.5
Susan Gallaway
77W–86L career · 6 lines in 2022
41%59%<1%
3.03
3.5
Barbara Brown
73W–78L career · 5 lines in 2022
69%31%<1%
2.94
Chloe Seymour
0W–2L career · no lines in 2022
not enough data
Karen Chlebnik
11W–18L career · 6 lines in 2022
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.