Teams

WI Adult MidTri Singles W River Glen Elite Capati

2025 WI Other · WI Adult MidTri Singles Women

10 players · average NTRP 3.79 / WISCONSIN

View scouting list →
Schedule6 played
L#1 SinglesKaren Lucey vs Krista Sarno4-7, 0-7
L#2 SinglesNina Capati vs Trish Arreazola2-7, 0-7
L#3 SinglesKay Bokowy vs Danielle Winchell3-7, 0-7
2025-05-02Lost 01
L#1 SinglesKay Bokowy vs Shannon Muderlak2-7, 0-7
L#1 SinglesJulia Nill vs Krista Sarno4-7, 0-7
L#2 SinglesSally Beres vs Lacey Marie Londre5-7, 1-4
L#3 SinglesHeather Nill vs Danielle Winchell5-7, 1-3
W#1 SinglesMariana Alberro vs Amber Wichowsky7-3, 7-0
L#2 SinglesKaren Lucey vs Megan Paulson5-7, 1-5
L#1 SinglesKaren Lucey vs Krista Sarno2-6, 0-6
W#3 SinglesNina Capati vs Lindsey Kalis6-3, 6-0
W#1 SinglesJulia Nill vs Megan Paulson7-5, 3-2
W#2 SinglesSally Beres vs Hannah Holena7-5, 3-2
L#3 SinglesHeather Nill vs Shannon Muderlak5-7, 0-6
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 standings3 teams · WI Adult MidTri Singles Women
TeamWLInd. WInd. LSets lostGames lost
1WI Adult MidTri Singles W Lake Geneva Arreazola60153586
2WI Adult MidTri Singles W River Glen Elite Holena2471122159
3WI Adult MidTri Singles W River Glen Elite Capati1551326184

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 3.50 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.

4.27
Mariana Alberro
usually #1 Singles 100% · published 4.5
3.82
Sally Beres
usually #2 Singles 100% · published 4
3.70
Karen Lucey
usually #1 Singles 67%, also #2 Singles 33% · published 4
3.46
Julia Nill
usually #1 Singles 100% · published
3.44
Nina Capati
usually #3 Singles 50%, also #2 Singles 50% · published 3.5
Hanna Cusey
usually #1 Doubles 67%, also #2 Singles 17% · published 3.5
3.20
Katie Agard
usually #2 Doubles 50%, also #3 Singles 17% · published
3.18
Heather Nill
usually #3 Singles 100% · published 3.5
2.94
Kay Bokowy
usually #1 Singles 50%, also #3 Singles 50% · published 3.5
Kamal Irani
published
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.

4.5
Mariana Alberro
58W–27L career · 1 line in 2025
2%94%4%
4.27
4
Sally Beres
15W–11L career · type S · 2 lines in 2025
1%91%8%
3.82
4
Karen Lucey
104W–53L career · 3 lines in 2025
7%92%1%
3.70
Julia Nill
8W–5L career · 2 lines in 2025
<1%63%37%
3.46
3.5
Nina Capati
54W–49L career · 2 lines in 2025
<1%67%33%
3.44
3.5
Hanna Cusey
19W–10L career · 6 lines in 2025
not enough data
Katie Agard
27W–14L career · 6 lines in 2025
6%93%1%
3.20
3.5
Heather Nill
21W–26L career · 2 lines in 2025
9%91%1%
3.18
3.5
Kay Bokowy
43W–81L career · 2 lines in 2025
68%32%<1%
2.94
Kamal Irani
58W–20L career · no 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.