Teams

WI Low Tri W Doubles (Late Fall) MALT Mavlyutov

2025 WI Other · WI Low Tri Women Doubles (Late Fall)

12 players · average NTRP 3.60 / WISCONSIN

View scouting list →
Schedule10 played
W#1 DoublesDebbie Schaefer / Lindy Stoll vs Alisa Sleep / Caitlin Mosman6-4, 6-3
W#3 DoublesKarelyn Hopkins / Jessie Guo vs Katherine Fox / Kristin Caldera6-4, 6-1
W#3 DoublesJanice Cain / Jessie Guo vs Claire Schaefer / Katrina Kelly6-3, 4-6, 1-0
W#2 DoublesJulia Hazenberg / Lindy Stoll vs Susan Harkness-Shifflett / Kathleen Oconnell6-7, 6-2, 1-0
W#3 DoublesKarelyn Hopkins / Jessie Guo vs Karen Weisbrod / Janet Simon7-5, 6-4
W#3 DoublesKarelyn Hopkins / Jessie Guo vs Nora Statsick / Joann Martin7-6, 6-1
W#1 DoublesJoanna Fisch / Lindy Stoll vs Alisa Sleep / Brooke Gritt6-2, 6-3
W#3 DoublesJessie Guo / Janice Cain vs Ana Baracca / Amelia Ohm5-7, 6-1, 1-0
W#3 DoublesJanice Cain / Jessie Guo vs Jen Dillon / Sarah Lundquist6-1, 6-1
2025-10-08Lost 01
L#2 DoublesYana Mavlyutov / Lindy Stoll vs Tara Mohan / Kristin Bohl3-6, 2-6
L#2 DoublesAmy Frederick / Lindy Stoll vs Lanie Sabin / Hannah Preder6-3, 1-6, 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 standings7 teams · WI Low Tri Women Doubles (Late Fall)
TeamWLInd. WInd. LSets lostGames lost
1WI Low Tri W Doubles (Late Fall) MALT Mavlyutov11127922252
2WI Low Tri W Doubles (Late Fall) MALT Wegner93241226246
3WI Low Tri W Doubles (Late Fall) MALT Bradshaw84231328269
4WI Low Tri W Doubles (Late Fall) MALT Fenster66201635281
5WI Low Tri W Doubles (Late Fall) MALT Oakley46171331251
6WI Low Tri W Doubles (Late Fall) MALT Black2972652344
7WI Low Tri W Doubles (Late Fall) MALT Palreddy01123161382

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 3.34 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.

3.96
Joanna Fisch
usually #1 Doubles 85%, also #2 Doubles 15% · published 4
3.80
Caitlin Cleary
usually #1 Doubles 69%, also #1 Singles 31% · published 4
3.59
Debbie Schaefer
usually #1 Doubles 71%, also #2 Doubles 29% · published 4
3.37
Jaryn Tuttle
usually #2 Doubles 67%, also #1 Doubles 17% · published
3.34
Sarah DeKraay
usually #2 Doubles 42%, also #2 Singles 33% · published
3.32
Julia Hazenberg
usually #2 Doubles 44%, also #3 Doubles 33% · published
3.27
Yana Mavlyutov
usually #2 Doubles 58%, also #2 Singles 21% · published
3.25
Lindy Stoll
usually #2 Doubles 60%, also #1 Doubles 40% · published
3.00
Anna Krylova
usually #3 Doubles 40%, also #3 Singles 20% · published 3
2.96
Karelyn Hopkins
usually #3 Doubles 37%, also #3 Singles 20% · published
2.87
Jessie Guo
usually #3 Doubles 100% · published
Amy Frederick
published 3
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.

Jaryn Tuttle + Yana Mavlyutov1746% games−1.8% vs expected
Karelyn Hopkins + Yana Mavlyutov5161% gamesnot enough data
Yana Mavlyutov + Anna Krylova134 matchesnot enough data
Yana Mavlyutov + Sarah DeKraay134 matchesnot enough data
Karelyn Hopkins + Anna Krylova303 matchesnot enough data
Karelyn Hopkins + Jessie Guo303 matchesnot enough data
Caitlin Cleary + Debbie Schaefer303 matchesnot enough data
Jaryn Tuttle + Anna Krylova213 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
Joanna Fisch
87W–46L career · 13 lines in 2025
<1%63%37%
3.96
4
Caitlin Cleary
63W–48L career · 13 lines in 2025
1%93%6%
3.80
4
Debbie Schaefer
122W–107L career · 7 lines in 2025
23%76%<1%
3.59
Jaryn Tuttle
73W–85L career · 12 lines in 2025
<1%84%16%
3.37
Sarah DeKraay
20W–29L career · 12 lines in 2025
<1%89%10%
3.34
Julia Hazenberg
25W–25L career · 9 lines in 2025
1%91%9%
3.32
Yana Mavlyutov
126W–152L career · 19 lines in 2025
2%94%4%
3.27
Lindy Stoll
12W–17L career · 5 lines in 2025
3%95%3%
3.25
3
Anna Krylova
52W–97L career · 25 lines in 2025
<1%50%50%
3.00
Karelyn Hopkins
291W–192L career · 26 lines in 2025
<1%61%39%
2.96
Jessie Guo
21W–13L career · 6 lines in 2025
<1%84%16%
2.87
3
Amy Frederick
no matches on record · 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.