Teams

WI Low Tri Mixed Doubles MALT Mavlyutov

2026 WI Other · WI Low Tri Mixed Doubles

14 players · average NTRP 3.75 / WISCONSIN

View scouting list →
Schedule2 played
W#1 DoublesJoanna Fisch / John Gassenheimer vs Sierra Auleta / Chris Isensee6-2, 6-1
W#2 DoublesYana Mavlyutov / Lucas Wysiatko vs Claire Bolton / Charlie Oberman6-1, 6-3
2026-08-02vs WI Low Tri Mixed Doubles MALT HuWon 20
W#1 DoublesCaitlin Cleary / Luke Piper vs Susan Harkness-Shifflett / Andrew Jaw6-3, 6-1
W#3 DoublesHaiyan Zhou / Seth Dailey vs Jessie Guo / Zhicheng Jin6-2, 6-3
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 standings6 teams · WI Low Tri Mixed Doubles
TeamWLInd. WInd. LSets lostGames lost
1WI Low Tri Mixed Doubles MALT Mavlyutov2051233
2WI Low Tri Mixed Doubles MALT Mohrbacker2051333
3WI Low Tri Mixed Doubles MALT Yudice2042440
4WI Low Tri Mixed Doubles MALT Schopp0224853
5WI Low Tri Mixed Doubles MALT Hu02151062
6WI Low Tri Mixed Doubles MALT Brickerman02151165

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 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.

3.93
Joanna Fisch
usually #1 Doubles 100% · published 4
3.81
Caitlin Cleary
usually #1 Doubles 100% · published 4
3.80
John Gassenheimer
usually #1 Doubles 100% · published
3.68
Braden Schleip
published 4
3.67
Luke Piper
usually #1 Doubles 100% · published
3.31
Yana Mavlyutov
usually #2 Singles 71%, also #2 Doubles 29% · published
3.29
Melissa Skibba
published
3.20
Lucas Wysiatko
usually #2 Doubles 100% · published
3.19
Timur Mavlyutov
usually #2 Singles 89%, also #2 Doubles 11% · published
3.02
Anna Krylova
usually #3 Singles 75%, also #1 Singles 25% · published 3
3.02
Haiyan Zhou
usually #2 Singles 60%, also #1 Singles 20% · published
3.01
Nishant Tilak
published
3.00
Karelyn Hopkins
usually #1 Singles 67%, also #3 Doubles 17% · published
2.85
Seth Dailey
usually #3 Doubles 100% · 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.

Timur Mavlyutov + Yana Mavlyutov7166% gamesnot enough data
Karelyn Hopkins + Yana Mavlyutov5161% gamesnot enough data
Timur Mavlyutov + Anna Krylova1442% gamesnot enough data
Melissa Skibba + Braden Schleip134 matchesnot enough data
Lucas Wysiatko + Anna Krylova224 matchesnot enough data
Yana Mavlyutov + Anna Krylova134 matchesnot enough data
Lucas Wysiatko + Karelyn Hopkins213 matchesnot enough data
Karelyn Hopkins + Anna Krylova303 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
84W–45L career · 2 lines in 2026
<1%70%30%
3.93
4
Caitlin Cleary
48W–30L career · 1 line in 2026
1%90%9%
3.81
John Gassenheimer
77W–70L career · 1 line in 2026
2%91%8%
3.80
4
Braden Schleip
19W–35L career · no lines in 2026
10%89%1%
3.68
Luke Piper
12W–30L career · 1 line in 2026
11%88%1%
3.67
Yana Mavlyutov
87W–115L career · 7 lines in 2026
1%90%9%
3.31
Melissa Skibba
42W–44L career · no lines in 2026
2%91%7%
3.29
Lucas Wysiatko
14W–9L career · 1 line in 2026
7%91%2%
3.20
Timur Mavlyutov
61W–101L career · 9 lines in 2026
8%90%1%
3.19
3
Anna Krylova
51W–94L career · 4 lines in 2026
<1%43%57%
3.02
Haiyan Zhou
36W–39L career · 5 lines in 2026
<1%45%55%
3.02
Nishant Tilak
6W–8L career · no lines in 2026
<1%47%53%
3.01
Karelyn Hopkins
178W–103L career · 6 lines in 2026
<1%51%49%
3.00
Seth Dailey
26W–30L career · 1 line in 2026
1%86%13%
2.85

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.