Teams

NITA W 30W40a Five Star-Fallon

2026 NITA2 Winter Adult 40 & Over · NITA Winter 40&Over 3.0 Women

11 players · average NTRP 3.00 / NORTHERN ILLINOIS

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule6 played
2026-04-19vs NITA W 30W40b Five Star-KlepperLost 12
L#1 DoublesKathryn Hazell / Rebecca Szczech vs Kristen Liyeos / Khadine Kubal6-2, 2-6, 0-1
L#2 DoublesJyl Bonomo / Sharon Maniscalo vs Lauren Jackson / Jennifer Klepper4-6, 4-6
W#3 DoublesBritni Hale / Tanu Singh vs Cristine Bautista / Megumi Minetti6-2, 6-3
2026-03-22vs NITA W 30W40b Five Star-KlepperSplit 22
W#1 DoublesSuzanne Fallon / Rebecca Szczech vs Marisa Rohrer / Kristen Liyeos0-6, 7-6, 1-0
L#1 SinglesChristine Quan vs Sandra Hernandez0-6, 2-6
L#2 DoublesKathryn Hazell / Jyl Bonomo vs Rebecca Flood / Lauren Jackson3-6, 5-7
W#3 DoublesBritni Hale / Courtney Hamad vs Olga Lis / Khadine Kubal6-4, 6-3
2026-03-08vs NITA W 30W40b Five Star-KlepperSplit 22
L#1 DoublesLinda Blomquist / Rebecca Szczech vs Khadine Kubal / Olga Lis2-6, 5-6
W#1 SinglesKathryn Hazell vs Sandra Hernandez7-5
L#2 DoublesSuzanne Fallon / Rebecca Falco vs Kristen Liyeos / Marisa Rohrer3-6, 4-6
W#3 DoublesJyl Bonomo / Britni Hale vs Jennifer Klepper / Rebecca Flood6-4, 6-1
2026-02-22vs NITA W 30W40b Five Star-KlepperSplit 22
W#1 DoublesSuzanne Fallon / Rebecca Szczech vs Marisa Rohrer / Rebecca Flood6-3, 6-3
L#1 SinglesKathryn Hazell vs Sandra Hernandez6-7, 2-4, 0-1
L#2 DoublesSharon Maniscalo / Christine Quan vs Olga Lis / Khadine Kubal0-6, 5-7, 0-1
W#3 DoublesMarni Springer / Jyl Bonomo vs Cristine Bautista / Ashwini Shukla6-2, 7-6
2026-02-15vs NITA W 30W40b Five Star-KlepperSplit 22
W#1 DoublesKathryn Hazell / Sharon Maniscalo vs Marisa Rohrer / Sandra Hernandez4-6, 7-6, 1-0
L#1 SinglesChristine Quan vs Ashwini Shukla1-6, 2-6
W#2 DoublesTanu Singh / Marni Springer vs Rebecca Flood / Cristine Bautista6-1, 6-4
L#3 DoublesSuzanne Fallon / Linda Blomquist vs Olga Lis / Megumi Minetti3-6, 6-3, 0-1
2026-02-08vs NITA W 30W40b Five Star-KlepperWon 31
W#1 DoublesJyl Bonomo / Tanu Singh vs Rebecca Flood / Lauren Jackson6-4, 5-3
W#1 SinglesMarni Springer vs Cristine Bautista7-5, 3-1
W#2 DoublesKathryn Hazell / Britni Hale vs Ashwini Shukla / Megumi Minetti6-4, 6-4
L#3 DoublesLinda Blomquist / Christine Quan vs Marisa Rohrer / Sandra Hernandez1-6, 2-6
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 standings2 teams · NITA Winter 40&Over 3.0 Women
TeamWLInd. WInd. LSets lostGames lost
1NITA W 30W40b Five Star-Klepper51121225201
2NITA W 30W40a Five Star-Fallon15121228228

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 2.77 estimated across 11 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.

3.05
Marni Springer
usually #1 Singles 33%, also #2 Doubles 33% · published 3
3.02
Tanu Singh
usually #1 Doubles 33%, also #2 Doubles 33% · published
2.88
Britni Hale
usually #3 Doubles 75%, also #2 Doubles 25% · published 3
2.88
Courtney Hamad
usually #3 Doubles 100% · published 3
2.80
Kathryn Hazell
usually #1 Singles 33%, also #2 Doubles 33% · published
2.77
Jyl Bonomo
usually #3 Doubles 40%, also #2 Doubles 40% · published 3
2.75
Rebecca Falco
usually #2 Doubles 100% · published
2.72
Suzanne Fallon
usually #1 Doubles 50%, also #2 Doubles 25% · published
2.62
Rebecca Szczech
usually #1 Doubles 100% · published
2.58
Linda Blomquist
usually #3 Doubles 67%, also #1 Doubles 33% · published
2.35
Christine Quan
usually #1 Singles 50%, also #2 Doubles 25% · published 3
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.

Suzanne Fallon + Courtney Hamad3260% gamesnot enough data
Suzanne Fallon + Rebecca Szczech213 matchesnot enough data
Suzanne Fallon + Kathryn Hazell213 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.

3
Marni Springer
67W–41L career · 3 lines in 2026
<1%36%64%
3.05
Tanu Singh
10W–2L career · 3 lines in 2026
<1%44%56%
3.02
3
Britni Hale
6W–2L career · type S · 4 lines in 2026
<1%79%20%
2.88
3
Courtney Hamad
11W–6L career · 1 line in 2026
<1%79%20%
2.88
Kathryn Hazell
25W–17L career · 6 lines in 2026
2%91%8%
2.80
3
Jyl Bonomo
27W–40L career · 5 lines in 2026
2%92%5%
2.77
Rebecca Falco
16W–19L career · 1 line in 2026
4%93%4%
2.75
Suzanne Fallon
24W–37L career · 4 lines in 2026
6%92%2%
2.72
Rebecca Szczech
8W–4L career · 4 lines in 2026
20%80%<1%
2.62
Linda Blomquist
15W–38L career · 3 lines in 2026
28%71%<1%
2.58
3
Christine Quan
2W–5L career · 4 lines in 2026
85%15%<1%
2.35

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.