Teams

WI Tri Delta Mixed Dbls MALT Isensee

2023 WI Other · WI Tri Level Mixed Doubles

13 players · average NTRP 3.67 / WISCONSIN

View scouting list →
Schedule5 played
2023-10-01Lost 01
L#3 DoublesLucia Donofrio / Kumar Lakshminarayanan vs Yana Mavlyutov / Timur Mavlyutov3-6, 1-6
W#3 DoublesTed Waskowski / Lucia Donofrio vs Bradley Day / Anna Krylova6-4, 6-4
2023-09-10Lost 01
L#3 DoublesTed Waskowski / Lucia Donofrio vs Jiwon Paik / Abtin Molavi2-6, 3-6
W#3 DoublesLucia Donofrio / Kumar Lakshminarayanan vs Kevin Askling / Anna Krylova6-3, 7-6
2023-08-06Lost 01
L#2 DoublesChris Isensee / Lucia Donofrio vs Lauren Balistreri / John Cao6-2, 2-6, 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 standings4 teams · WI Tri Level Mixed Doubles
TeamWLInd. WInd. LSets lostGames lost
1WI Tri Delta Mixed Dbls MALT Armitage9024310149
2WI Tri Delta Mixed Dbls MALT Isensee54151227241
3WI Tri Delta Mixed Dbls MALT Mavlyutov45121531230
4WI Tri Delta Mixed Dbls MALT Askling0932449297

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 3.52 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.

3.87
Pallavi Tiwari
usually #2 Doubles 63%, also #1 Doubles 38% · published 4
Ashli Paulson
usually #1 Singles 57%, also #1 Doubles 29% · published 4
3.70
Lily Montgomery
usually #1 Doubles 43%, also #1 Singles 43% · published
3.43
Abby Eddy
usually #2 Doubles 86%, also #1 Doubles 14% · published 3.5
3.42
Chris Isensee
usually #2 Doubles 78%, also #1 Doubles 22% · published 4
Abigail Grodecki
usually #2 Doubles 39%, also #2 Singles 31% · published 3.5
3.19
Matthew Ulrich
usually #2 Doubles 100% · published
Asif Azhar
usually #3 Doubles 100% · published 3
Kumar Lakshminarayanan
usually #3 Doubles 46%, also #3 Singles 23% · published
Lucia Donofrio
usually #3 Doubles 80%, also #2 Doubles 20% · published
Meghan Azhar
usually #3 Doubles 100% · published
Pierce Jenkins
usually #1 Doubles 100% · published
Ted Waskowski
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.

Meghan Azhar + Asif Azhar17262% games+18.4% vs expected
Chris Isensee + Abby Eddy224 matchesnot enough data
Pierce Jenkins + Pallavi Tiwari224 matchesnot enough data
Matthew Ulrich + Lily Montgomery224 matchesnot enough data
Chris Isensee + Pierce Jenkins303 matchesnot enough data
Chris Isensee + Matthew Ulrich213 matchesnot enough data
Abigail Grodecki + Matthew Ulrich213 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
Pallavi Tiwari
96W–58L career · 8 lines in 2023
<1%83%16%
3.87
4
Ashli Paulson
10W–11L career · 7 lines in 2023
not enough data
Lily Montgomery
37W–35L career · 7 lines in 2023
6%93%1%
3.70
3.5
Abby Eddy
93W–91L career · 7 lines in 2023
<1%70%30%
3.43
4
Chris Isensee
94W–162L career · type A · 9 lines in 2023
72%28%<1%
3.42
3.5
Abigail Grodecki
58W–33L career · 13 lines in 2023
not enough data
Matthew Ulrich
39W–103L career · 8 lines in 2023
8%92%1%
3.19
3
Asif Azhar
61W–26L career · 8 lines in 2023
not enough data
Kumar Lakshminarayanan
21W–45L career · 12 lines in 2023
not enough data
Lucia Donofrio
14W–18L career · 5 lines in 2023
not enough data
Meghan Azhar
111W–43L career · 6 lines in 2023
not enough data
Pierce Jenkins
36W–26L career · 7 lines in 2023
not enough data
Ted Waskowski
19W–29L career · 2 lines in 2023
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.