Teams

WI Combo Mixed 6.5 MALT Sendelbach

2025 WI Other · WI Combo Mixed 6.5

12 players · average NTRP 3.00 / WISCONSIN

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Schedule8 played
2025-12-14vs WI Combo Mixed 6.5 MALT CusackLost 02
L#1 DoublesMcKenna Lewis / Sendelbach Sendelbach vs Tara Mohan / Alfred Sun4-6, 4-6
L#2 DoublesHaiyan Zhou / Charlie Oberman vs Dan Bernhardt / Megan Cusack3-6, 2-6
2025-12-07vs WI Combo Mixed 6.5 MALT PrahlSplit 11
W#1 DoublesIan Lowe / SOUMYA PALREDDY vs Jack Ciske / Emma Verret6-4, 7-6
L#2 DoublesSora Kim / Martin Mccluskey vs Hung Manh Nguyen / Molly Moritz1-6, 2-6
2025-11-23vs WI Combo Mixed 6.5 MALT MavlyutovLost 12
L#1 DoublesMcKenna Lewis / Charlie Oberman vs Anna Krylova / Lucas Wysiatko0-6, 1-6
W#2 DoublesHaiyan Zhou / Ken Yan vs Sarah DeKraay / Nishant Tilak6-4, 4-6, 1-0
L#3 DoublesSOUMYA PALREDDY / Ian Lowe vs Yana Mavlyutov / Timur Mavlyutov0-6, 3-6
2025-11-16vs WI Combo Mixed 6.5 MALT CusackLost 03
L#1 DoublesCharlie Oberman / Sora Kim vs Eunji Oh / Jose Nunes0-6, 2-6
L#2 DoublesMartin Mccluskey / MacAyla Schopp vs Sanghyeok Park / Tara Mohan1-6, 2-6
L#3 DoublesSendelbach Sendelbach / Maija Balts vs Megan Cusack / Dan Bernhardt0-6, 2-6
2025-11-09vs WI Combo Mixed 6.5 MALT MavlyutovLost 03
L#1 DoublesMartin Mccluskey / McKenna Lewis vs Edward Halsted / Anna Krylova3-6, 1-6
L#2 DoublesSora Kim / Sendelbach Sendelbach vs Yana Mavlyutov / Timur Mavlyutov2-6, 1-6
L#3 DoublesSOUMYA PALREDDY / Ian Lowe vs Sarah DeKraay / Nishant Tilak1-6, 2-6
2025-11-02vs WI Combo Mixed 6.5 MALT MavlyutovLost 03
L#1 DoublesHaiyan Zhou / Ken Yan vs Karelyn Hopkins / Edward Halsted2-6, 1-6
L#2 DoublesSOUMYA PALREDDY / Ian Lowe vs Yana Mavlyutov / Timur Mavlyutov1-6, 4-6
L#3 DoublesMaija Balts / Martin Mccluskey vs Sarah DeKraay / Brian Katz3-6, 1-6
2025-10-19vs WI Combo Mixed 6.5 MALT PrahlLost 03
L#1 DoublesMacAyla Schopp / Martin Mccluskey vs Hung Manh Nguyen / Emma Verret3-6, 2-6
L#2 DoublesIan Lowe / SOUMYA PALREDDY vs Jack Ciske / Molly Moritz0-6, 3-6
L#3 DoublesCharlie Oberman / Sora Kim vs Shaleen Deep / Shayna Mace0-6, 2-6
2025-10-05vs WI Combo Mixed 6.5 MALT PrahlLost 03
L#1 DoublesSendelbach Sendelbach / Kathleen Rause vs Megan Prahl / Paul Prahl1-6, 0-6
L#2 DoublesHaiyan Zhou / Ken Yan vs Abtin Molavi / Amy Moy0-6, 2-6
L#3 DoublesCharlie Oberman / MacAyla Schopp vs Miranda Prahl / Krish M3-6, 1-6
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 Mixed 6.5 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 2.80 estimated across 8 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.

3.02
Haiyan Zhou
usually #2 Doubles 75%, also #1 Doubles 25% · published
2.95
Sendelbach Sendelbach
usually #1 Doubles 50%, also #2 Doubles 25% · published
2.90
Charlie Oberman
usually #3 Doubles 40%, also #1 Doubles 40% · published 3
2.79
Martin Mccluskey
usually #1 Doubles 40%, also #2 Doubles 40% · published
2.75
SOUMYA PALREDDY
usually #2 Doubles 46%, also #1 Doubles 39% · published
2.71
Kathleen Rause
usually #3 Doubles 75%, also #1 Doubles 25% · published
2.67
McKenna Lewis
usually #1 Doubles 100% · published
2.59
Sora Kim
usually #2 Doubles 50%, also #3 Doubles 25% · published
Ian Lowe
usually #2 Doubles 40%, also #3 Doubles 40% · published
Ken Yan
usually #2 Doubles 67%, also #1 Doubles 33% · published
MacAyla Schopp
usually #1 Doubles 33%, also #2 Doubles 33% · published
Maija Balts
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.

SOUMYA PALREDDY + Ian Lowe1432% gamesnot enough data
Haiyan Zhou + Ken Yan123 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.

Haiyan Zhou
36W–39L career · 4 lines in 2025
<1%45%55%
3.02
Sendelbach Sendelbach
1W–15L career · 4 lines in 2025
64%36%<1%
2.95
3
Charlie Oberman
7W–13L career · type S · 5 lines in 2025
<1%76%24%
2.90
Martin Mccluskey
5W–22L career · 5 lines in 2025
2%91%7%
2.79
SOUMYA PALREDDY
4W–21L career · 13 lines in 2025
4%93%3%
2.75
Kathleen Rause
12W–41L career · 4 lines in 2025
7%91%2%
2.71
McKenna Lewis
5W–10L career · 3 lines in 2025
12%87%1%
2.67
Sora Kim
15W–33L career · 4 lines in 2025
26%73%<1%
2.59
Ian Lowe
1W–4L career · 5 lines in 2025
not enough data
Ken Yan
2W–5L career · 3 lines in 2025
not enough data
MacAyla Schopp
12W–42L career · 3 lines in 2025
not enough data
Maija Balts
1W–7L career · 2 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.