Teams

WI Tri Delta Mixed Dbls MALT Isensee

2022 WI Other · WI Tri Level Delta Mixed Doubles

12 players · average NTRP 3.75 / WISCONSIN

View scouting list →
Schedule9 played
W#1 DoublesJonathan Sandoval / Kelly Conne vs Kyle Coplan / Sara Gliniecki6-4, 6-3
W#3 DoublesTed Waskowski / Yana Mavlyutov vs Christopher Cusack / Betty Kepley6-2, 7-5
L#3 DoublesTed Waskowski / Katherine Sample vs Stephen Kennedy / Min Cui6-7, 4-6
L#2 DoublesErik Kinnunen / Melissa Skibba vs Ted Shang / Lauren Balistreri0-6, 3-6
L#3 DoublesTed Waskowski / Katherine Sample vs Chase Peck / Karelyn Hopkins3-6, 3-6
W#2 DoublesChris Isensee / Kelly Conne vs Jim Padley / Susan Harkness-Shifflett6-3, 6-0
W#3 DoublesTed Waskowski / Katherine Sample vs Kathleen Rause / Stephen Kennedy6-2, 6-1
2022-09-25Won 10
W#3 DoublesTed Waskowski / Katherine Sample vs Betty Kepley / Aidan Stuckert2-6, 6-4, 1-0
L#2 DoublesYoung-Mook Lee / Melissa Skibba vs Ginny Quirk / Ted Shang3-6, 2-6
L#3 DoublesYana Mavlyutov / Ted Waskowski vs Chase Peck / Karelyn Hopkins5-7, 5-7
2022-09-09Won 10
W#2 DoublesErik Kinnunen / Kelly Conne vs Matthew Ulrich / Jaryn Tuttle6-2, 6-3
2022-08-21Won 10
W#2 DoublesYoung-Mook Lee / Kelly Conne vs Hari Putti / Ginny Quirk6-3, 7-6
2022-08-07Won 10
W#2 DoublesKelly Conne / Young-Mook Lee vs Jim Padley / Susan Harkness-Shifflett6-0, 6-0
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 standings4 teams · WI Tri Level Delta Mixed Doubles
TeamWLInd. WInd. LSets lostGames lost
1WI Tri Delta Mixed Dbls MALT Armitage902524140
2WI Tri Delta Mixed Dbls MALT Isensee6318921206
3WI Tri Delta Mixed Dbls MALT Padley2762144292
4WI Tri Delta Mixed Dbls MALT Gliniecki1852244285

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 3.46 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.

3.82
Elizabeth Murphy
usually #1 Doubles 59%, also #1 Singles 24% · published 4
3.80
Jonathan Sandoval
usually #1 Doubles 100% · published
3.65
Tarek Said
usually #1 Singles 42%, also #1 Doubles 42% · published
3.42
Chris Isensee
usually #2 Doubles 63%, also #2 Singles 38% · published 4
3.31
Melissa Skibba
usually #1 Doubles 57%, also #2 Doubles 43% · published
3.27
Yana Mavlyutov
usually #3 Doubles 50%, also #3 Singles 35% · published
3.27
Young-Mook Lee
usually #2 Doubles 100% · published
Allison O'Connor
usually #1 Doubles 63%, also #2 Doubles 38% · published 3.5
Erik Kinnunen
usually #2 Doubles 100% · published 3.5
3.15
Timur Mavlyutov
usually #3 Singles 63%, also #1 Singles 26% · published
Kelly Conne
usually #2 Doubles 80%, also #1 Doubles 20% · 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.

Timur Mavlyutov + Yana Mavlyutov12652% games+0.5% vs expected
Jonathan Sandoval + Tarek Said1738% gamesnot enough data
Melissa Skibba + Allison O'Connor2351% gamesnot enough data
Allison O'Connor + Kelly Conne404 matchesnot enough data
Kelly Conne + Erik Kinnunen314 matchesnot enough data
Jonathan Sandoval + Elizabeth Murphy134 matchesnot enough data
Chris Isensee + Melissa Skibba213 matchesnot enough data
Elizabeth Murphy + Tarek Said303 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
Elizabeth Murphy
67W–64L career · 17 lines in 2022
1%91%8%
3.82
Jonathan Sandoval
105W–80L career · 13 lines in 2022
1%93%6%
3.80
Tarek Said
79W–92L career · 19 lines in 2022
12%88%<1%
3.65
4
Chris Isensee
94W–162L career · type A · 8 lines in 2022
72%28%<1%
3.42
Melissa Skibba
66W–92L career · 7 lines in 2022
1%92%7%
3.31
Yana Mavlyutov
126W–152L career · 20 lines in 2022
2%94%4%
3.27
Young-Mook Lee
45W–43L career · 3 lines in 2022
2%94%4%
3.27
3.5
Allison O'Connor
76W–44L career · 8 lines in 2022
not enough data
3.5
Erik Kinnunen
54W–62L career · 2 lines in 2022
not enough data
Timur Mavlyutov
111W–140L career · 27 lines in 2022
12%88%<1%
3.15
Kelly Conne
106W–58L career · 5 lines in 2022
not enough data
Ted Waskowski
19W–29L career · 6 lines in 2022
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.