Teams

WI Combo MALT 5.5 W Thomson

2022 WI Combo · WI Combo 5.5 Women

9 players · average NTRP 2.50 / WISCONSIN

View scouting list →
Schedule9 played
2022-10-17vs WI Combo MALT 5.5 W AbitzLost 03
L#1 DoublesMei Hu / Joanne Thomson vs Tracey Abitz / Jennifer Den Daas0-6, 0-6
L#2 DoublesSora Kim / Elma Sia vs Patricia Mabie / Betty Rosengren1-6, 1-6
L#3 DoublesMary Bartzen / JESSICA BRAUN vs Maribeth Mohr / Kristin Yates2-6
2022-10-10vs WI Combo MALT 5.5 W HalversonLost 12
L#1 DoublesClaire Hoffmann / Mei Hu vs Debra Martinez / Janet Simon0-6, 3-6
W#2 DoublesMegan Phillips / Jacqui Cavaglia vs Megan Ruhland / Rachel Seablom6-4, 6-3
L#3 DoublesJESSICA BRAUN / Joanne Thomson vs Heather Drought / Susan Wielgus1-6, 2-6
2022-10-03vs WI Combo MALT 5.5 W SchmidtLost 02
L#1 DoublesCynthia Heffling / Joanne Thomson vs Kavita Biyani / Christine Clarke0-6, 0-6
L#2 DoublesMei Hu / Elma Sia vs Claire Feith / Jennifer Queram2-6, 0-6
2022-09-26vs WI Combo MALT 5.5 W AbitzLost 03
L#1 DoublesJESSICA BRAUN / Mei Hu vs Kathleen Murphy / Julie Moyer4-6, 2-6
L#2 DoublesMary Bartzen / Jacqui Cavaglia vs Tracey Abitz / Maribeth Mohr4-6, 5-7
L#3 DoublesSora Kim / Elma Sia vs Jennifer Den Daas / Patricia Mabie1-6, 1-6
2022-09-19vs WI Combo MALT 5.5 W HalversonLost 02
L#1 DoublesMary Bartzen / Cynthia Heffling vs Susan Wielgus / Meg Schell5-7, 3-6
L#2 DoublesMei Hu / Sora Kim vs Heather Drought / Rachel Seablom2-6, 1-6
2022-09-18vs WI Combo MALT 5.5 W SchmidtLost 03
L#1 DoublesSora Kim / Elma Sia vs Jannea Wood / Claire Feith0-6, 1-6
L#2 DoublesMegan Phillips / Jacqui Cavaglia vs Sara Johnson / Kavita Biyani7-6, 2-6, 0-1
L#3 DoublesCynthia Heffling / JESSICA BRAUN vs Nadia Gonzalez / Marlene Schmidt3-6, 0-6
2022-08-29vs WI Combo MALT 5.5 W AbitzLost 02
L#1 DoublesCynthia Heffling / Elma Sia vs Betty Rosengren / Patricia Mabie2-6, 0-6
L#2 DoublesJoanne Thomson / Claire Hoffmann vs Jennifer Den Daas / Kristin Yates0-6, 1-6
2022-08-22vs WI Combo MALT 5.5 W HalversonSplit 11
L#1 DoublesCynthia Heffling / Megan Phillips vs Heather Drought / Susan Wielgus1-6, 0-6
W#2 DoublesMary Bartzen / Joanne Thomson vs Rachel Seablom / Jane Stevenson6-2, 6-3
2022-08-15vs WI Combo MALT 5.5 W SchmidtLost 02
L#1 DoublesCynthia Heffling / Elma Sia vs Claire Feith / Jennifer Queram1-6, 1-6
L#2 DoublesMei Hu / Sora Kim vs Nadia Gonzalez / Marlene Schmidt1-6, 0-6
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 standings for WI Combo 5.5 Women have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 2.30 estimated across 5 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.

2.59
Mei Hu
usually #2 Doubles 50%, also #1 Doubles 50% · published
2.57
Sora Kim
usually #2 Doubles 60%, also #3 Doubles 20% · published
Elma Sia
usually #1 Doubles 50%, also #2 Doubles 33% · published 2.5
2.18
JESSICA BRAUN
usually #3 Doubles 75%, also #1 Doubles 25% · published 2.5
2.17
Cynthia Heffling
usually #1 Doubles 83%, also #3 Doubles 17% · published 2.5
1.98
Joanne Thomson
usually #2 Doubles 40%, also #1 Doubles 40% · published
Claire Hoffmann
usually #2 Doubles 50%, also #1 Doubles 50% · published
Jacqui Cavaglia
usually #2 Doubles 100% · published
Megan Phillips
usually #2 Doubles 67%, also #1 Doubles 33% · 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.

Joanne Thomson + Mei Hu2533% games−10.7% vs expected
Sora Kim + Mei Hu2440% gamesnot enough data
Sora Kim + Elma Sia044 matchesnot enough data
Joanne Thomson + Elma Sia044 matchesnot enough data
Megan Phillips + Mei Hu123 matchesnot enough data
Cynthia Heffling + Joanne Thomson033 matchesnot enough data
Cynthia Heffling + Elma Sia033 matchesnot enough data
Joanne Thomson + JESSICA BRAUN033 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.

Mei Hu
25W–51L career · 6 lines in 2022
0%24%76%
2.59
Sora Kim
16W–39L career · 5 lines in 2022
30%70%<1%
2.57
2.5
Elma Sia
0W–26L career · 6 lines in 2022
not enough data
2.5
JESSICA BRAUN
4W–14L career · 4 lines in 2022
0%99%1%
2.18
2.5
Cynthia Heffling
4W–27L career · 6 lines in 2022
0%99%1%
2.17
Joanne Thomson
3W–34L career · 5 lines in 2022
0%>99%<1%
1.98
Claire Hoffmann
0W–2L career · 2 lines in 2022
not enough data
Jacqui Cavaglia
1W–2L career · 3 lines in 2022
not enough data
Megan Phillips
8W–14L career · 3 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.