Teams

WI Tri Delta W Dbls MALT Oakley

2022 WI Other · WI Tri Level Delta Women Fall Eve

9 players · average NTRP 3.30 / WISCONSIN

View scouting list →
Schedule7 played
2022-11-29vs WI Tri Delta W Dbls MALT ArmitageWon 10
W#2 DoublesBeth Bucaida / Allison O'Connor vs Lynn Armitage / Kristin Bohl6-4, 6-4
2022-11-15vs WI Tri Delta W Dbls MALT BradshawLost 02
L#2 DoublesHolly Wegner / Beth Bucaida vs Lauren Lindley / Jaryn Tuttle1-6, 0-6
L#3 DoublesJun Lee / Heatherjane Oakley vs Jill Bradshaw / Kathleen Oconnell3-6, 4-6
W#1 DoublesKendall Steinhoff / Beth Bucaida vs Eunsil Oh / Hannah Kuhn7-5, 6-4
2022-10-25vs WI Tri Delta W Dbls MALT ArmitageSplit 11
L#2 DoublesKendall Steinhoff / Beth Bucaida vs Gillian Drier / Pallavi Tiwari3-6, 2-6
W#3 DoublesHolly Wegner / Jun Lee vs Karelyn Hopkins / Kerry Berens6-4, 6-4
2022-10-11Won 10
W#2 DoublesLanie Sabin / Jun Lee vs Lauren Lindley / Joy Gander6-3, 6-4
2022-10-04vs WI Tri Delta W Dbls MALT BollesWon 10
W#3 DoublesJun Lee / Holly Wegner vs Janet Crnich / Iris Kurman4-6, 6-1, 1-0
2022-09-27vs WI Tri Delta W Dbls MALT MavlyutovSplit 11
L#2 DoublesHeatherjane Oakley / Beth Bucaida vs Hannah Kuhn / Elizabeth Schnee1-6, 4-3
W#3 DoublesHolly Wegner / Jun Lee vs Kathryn Burke / Kathryn Tweet6-3, 6-4
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 standings5 teams · WI Tri Level Delta Women Fall Eve
TeamWLInd. WInd. LSets lostGames lost
1WI Tri Delta W Dbls MALT Armitage7117716171
2WI Tri Delta W Dbls MALT Oakley53121226224
3WI Tri Delta W Dbls MALT Bolles44131126232
4WI Tri Delta W Dbls MALT Bradshaw35111330225
5WI Tri Delta W Dbls MALT Mavlyutov1771735241

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 3.15 estimated across 6 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.

3.42
Jun Lee
usually #3 Doubles 80%, also #2 Doubles 20% · published
3.35
Kendall Steinhoff
usually #1 Doubles 78%, also #2 Doubles 22% · published
3.31
Melissa Skibba
usually #1 Doubles 57%, also #2 Doubles 43% · published
3.26
Holly Wegner
usually #3 Doubles 40%, also #2 Singles 27% · published 3.5
Allison O'Connor
usually #1 Doubles 63%, also #2 Doubles 38% · published 3.5
Beth Bucaida
usually #2 Doubles 80%, also #1 Doubles 20% · published 3.5
2.78
Heatherjane Oakley
usually #1 Singles 67%, also #3 Doubles 25% · published 3
2.77
Amy Bishop
usually #3 Doubles 50%, also #3 Singles 17% · published 3
Lanie Sabin
usually #1 Doubles 30%, also #2 Singles 30% · 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.

Melissa Skibba + Heatherjane Oakley4356% games+8.2% vs expected
Melissa Skibba + Kendall Steinhoff11359% games+4.5% vs expected
Amy Bishop + Kendall Steinhoff7550% games+4.4% vs expected
Heatherjane Oakley + Kendall Steinhoff12853% games+4.0% vs expected
Holly Wegner + Jun Lee141251% games+2.8% vs expected
Amy Bishop + Heatherjane Oakley62041% games−5.5% vs expected
Allison O'Connor + Lanie Sabin8260% gamesnot enough data
Heatherjane Oakley + Jun Lee4447% gamesnot 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.

Jun Lee
133W–126L career · 5 lines in 2022
73%27%<1%
3.42
Kendall Steinhoff
79W–66L career · 9 lines in 2022
<1%87%13%
3.35
Melissa Skibba
66W–92L career · 7 lines in 2022
1%92%7%
3.31
3.5
Holly Wegner
148W–119L career · 14 lines in 2022
2%94%3%
3.26
3.5
Allison O'Connor
76W–44L career · 8 lines in 2022
not enough data
3.5
Beth Bucaida
52W–74L career · 5 lines in 2022
not enough data
3
Heatherjane Oakley
124W–159L career · 12 lines in 2022
2%94%4%
2.78
3
Amy Bishop
90W–178L career · 6 lines in 2022
2%94%4%
2.77
Lanie Sabin
70W–53L career · 9 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.