Teams

WI Low Tri W Doubles (Early Fall) MALT Bradshaw

2025 WI Tri-Level · WI Low Tri Women Doubles (Early Fall)

11 players · average NTRP 3.67 / WISCONSIN

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Schedule6 played
W#3 DoublesKim Kessler / Jane Kufel vs Joann Martin / Kerry Berens1-6, 6-3, 1-0
L#1 DoublesCaitlin Cleary / Susan Parker vs Samantha Saetang / Pallavi Tiwari2-6, 4-6
L#2 DoublesKathleen Oconnell / Susan Harkness-Shifflett vs Lauren Balistreri / Rebecca Gerothanas1-6, 0-6
L#3 DoublesMaureen Connors / Jane Kufel vs Iris Kurman / Kerry Berens6-1, 4-6, 0-1
L#1 DoublesJulie Crow / Caitlin Cleary vs Zoe Tesone / Samantha Saetang2-6, 2-6
L#2 DoublesAbby Eddy / Susan Harkness-Shifflett vs Megan Prahl / Ginny Quirk2-6, 2-6
W#3 DoublesMaureen Connors / Jane Kufel vs Anne Yates / Karelyn Hopkins3-6, 6-2, 1-0
L#1 DoublesKathleen Oconnell / Susan Harkness-Shifflett vs Amberlee Baugus / Pallavi Tiwari0-6, 2-6
L#2 DoublesMolly Moritz / Jiwon Paik vs Megan Prahl / Kristin Bohl1-6, 5-7
L#3 DoublesKim Kessler / Jane Kufel vs Joann Martin / Iris Kurman4-6, 3-6
W#1 DoublesJulie Crow / Caitlin Cleary vs Pallavi Tiwari / Zoe Tesone6-0, 2-6, 1-0
L#2 DoublesKathleen Oconnell / Molly Moritz vs Erin Mohrbacker / Kristin Bohl3-6, 5-7
W#3 DoublesJill Bradshaw / Maureen Connors vs Kerry Berens / Anne Yates3-6, 6-1, 1-0
L#1 DoublesJiwon Paik / Molly Moritz vs Samantha Saetang / Amberlee Baugus4-6, 1-6
L#2 DoublesSusan Harkness-Shifflett / Kathleen Oconnell vs Lauren Balistreri / Rebecca Gerothanas3-6, 3-6
L#3 DoublesMaureen Connors / Jane Kufel vs Joann Martin / Karelyn Hopkins7-6, 4-6, 1-0
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 standings2 teams · WI Low Tri Women Doubles (Early Fall)
TeamWLInd. WInd. LSets lostGames lost
1WI Low Tri W Doubles (Early Fall) MALT Armitage5114410115
2WI Low Tri W Doubles (Early Fall) MALT Bradshaw1541432196

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 3.19 estimated across 10 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.

3.80
Caitlin Cleary
usually #1 Doubles 100% · published 4
3.43
Abby Eddy
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.25
Molly Moritz
usually #3 Doubles 60%, also #2 Doubles 30% · published
3.19
Jiwon Paik
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.19
Susan Harkness-Shifflett
usually #2 Doubles 75%, also #1 Doubles 25% · published
3.15
Maureen Connors
usually #3 Doubles 100% · published
3.06
Kathleen Oconnell
usually #2 Doubles 75%, also #1 Doubles 25% · published
3.01
Jane Kufel
usually #3 Doubles 100% · published
2.92
Jill Bradshaw
usually #3 Doubles 100% · published
2.85
Kim Kessler
usually #3 Doubles 100% · published
Julie Crow
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.

Kathleen Oconnell + Jiwon Paik4260% games+12.2% vs expected
Jill Bradshaw + Maureen Connors13559% games+8.6% vs expected
Jill Bradshaw + Kim Kessler17959% games+3.5% vs expected
Maureen Connors + Jane Kufel9554% games+3.0% vs expected
Susan Harkness-Shifflett + Kathleen Oconnell162648% games−0.1% vs expected
Jill Bradshaw + Jiwon Paik6550% games−7.8% vs expected
Jill Bradshaw + Jane Kufel4257% gamesnot enough data
Kim Kessler + Kathleen Oconnell5165% 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
Caitlin Cleary
63W–48L career · 3 lines in 2025
1%93%6%
3.80
3.5
Abby Eddy
93W–91L career · 6 lines in 2025
<1%70%30%
3.43
Molly Moritz
77W–60L career · 10 lines in 2025
3%95%3%
3.25
3.5
Jiwon Paik
128W–128L career · 2 lines in 2025
7%92%1%
3.19
Susan Harkness-Shifflett
136W–139L career · 4 lines in 2025
7%92%1%
3.19
Maureen Connors
81W–48L career · 4 lines in 2025
<1%12%88%
3.15
Kathleen Oconnell
97W–115L career · 4 lines in 2025
32%68%<1%
3.06
Jane Kufel
53W–45L career · 5 lines in 2025
<1%47%53%
3.01
Jill Bradshaw
119W–105L career · 1 line in 2025
<1%74%26%
2.92
Kim Kessler
55W–53L career · 2 lines in 2025
<1%87%13%
2.85
Julie Crow
4W–12L career · no lines in 2025
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.