Teams

NITA W 50W18a River Trails (Farinas/Nakamura)

2022 NITA2 Winter Adult 18 & Over · NITA Winter 18 & Over 5.0 Women

13 players · average NTRP 4.50 / 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 →
Schedule7 played
W#1 DoublesMarianne Sharping / Sarah Monteagudo vs Colleen Morris / Shana Cal6-2, 6-1
L#1 SinglesWhitney Martin vs Nicole Kitsuse0-6, 4-6
W#2 DoublesSamantha Buynack / Valeria Stoilova vs Kaitlin Ulbert / Irina Dobin6-4, 6-4
W#1 DoublesMarianne Sharping / Karlyn Martin vs Irina Dobin / Sarah Paulson6-3, 6-2
W#1 SinglesMegan Nguyen vs Nicole Kitsuse6-1, 6-1
L#2 DoublesMary Therese Lee / Elizabeth Haney vs Gabriela Bobrowski / Colleen Morris1-6, 7-5, 0-1
2022-03-13vs NITA W 50W18c Naperville TC (Pudlo)Split 11
L#1 DoublesElizabeth Haney / Kathleen Preston vs Jennifer McClelland / Kathleen Pudlo6-7, 3-5
W#1 SinglesKarlyn Martin vs Annamaria Wencel6-2, 6-4
L#1 DoublesMarianne Sharping / Valeria Stoilova vs Alice Pacaut / Nicole Kitsuse1-6, 3-6
W#1 SinglesMegan Nguyen vs Colleen Morris6-1, 6-0
W#2 DoublesMary Therese Lee / Elizabeth Haney vs Elizabeth Lynch / Sarah Paulson6-2, 6-1
L#1 DoublesMarianne Sharping / Megan Nguyen vs Irina Dobin / Alice Pacaut4-6, 3-5
L#1 SinglesAshley Podraza vs Kaitlin Ulbert6-2, 4-6, 0-1
W#2 DoublesKarlyn Martin / Valeria Stoilova vs Nicole Kitsuse / Gabriela Bobrowski6-2, 6-2
W#1 DoublesMarianne Sharping / Megan Nguyen vs Lynne Buell / Tammy Mitchell6-3, 6-4
W#1 SinglesAshley Podraza vs Annamaria Wencel6-7, 4-3, 1-0
W#2 DoublesMarialin Lomongo / Valeria Stoilova vs Gillian Climo / Christine Neuman6-2, 6-1
W#1 DoublesMarianne Sharping / Karlyn Martin vs Kathleen Pudlo / Tammy Mitchell3-6, 6-4, 1-0
W#1 SinglesAshley Podraza vs Annamaria Wencel4-6, 5-3, 1-0
W#2 DoublesAyano Nakamura / Marialin Lomongo vs Gillian Climo / Lynne Buell7-6, 5-4
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 standings3 teams · NITA Winter 18 & Over 5.0 Women
TeamWLInd. WInd. LSets lostGames lost
1NITA W 50W18a River Trails (Farinas/Nakamura)7118615149
2NITA W 50W18c Naperville TC (Pudlo)44131122136
3NITA W 50W18b McFetridge SC (Kitsuse/Ulbert)1751940261

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 4.48 estimated across 7 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.

4.79
Megan Nguyen
usually #1 Doubles 50%, also #1 Singles 50% · published
Elizabeth Haney
usually #2 Doubles 67%, also #1 Doubles 33% · published 5
4.68
Sarah Monteagudo
usually #1 Doubles 100% · published
4.48
Marianne Sharping
usually #1 Doubles 100% · published 5
4.42
Marialin Lomongo
usually #2 Doubles 100% · published 4.5
4.41
Ayano Nakamura
usually #2 Doubles 100% · published 4.5
4.31
Mary Therese Lee
usually #2 Doubles 100% · published
4.30
Whitney Martin
usually #1 Singles 100% · published
Ashley Podraza
usually #1 Singles 100% · published
Karlyn Martin
usually #1 Doubles 50%, also #2 Doubles 25% · published
Kathleen Preston
usually #1 Doubles 100% · published
Valeria Stoilova
usually #2 Doubles 75%, also #1 Doubles 25% · 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.

Sarah Monteagudo + Ayano Nakamura4163% games+13.7% vs expected
Kathleen Preston + Ayano Nakamura5062% games+2.5% vs expected
Marianne Sharping + Megan Nguyen25563% games+0.8% vs expected
Mary Therese Lee + Ayano Nakamura181453% games−0.5% vs expected
Marialin Lomongo + Ayano Nakamura392353% games−3.7% vs expected
Marialin Lomongo + Mary Therese Lee4350% games−12.7% vs expected
Karlyn Martin + Whitney Martin5156% gamesnot enough data
Marianne Sharping + Whitney Martin4253% 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.

Megan Nguyen
103W–41L career · 4 lines in 2022
1%94%5%
4.79
5
Elizabeth Haney
15W–9L career · 3 lines in 2022
not enough data
Sarah Monteagudo
62W–25L career · 1 line in 2022
8%91%1%
4.68
5
Marianne Sharping
126W–93L career · 6 lines in 2022
56%44%<1%
4.48
4.5
Marialin Lomongo
324W–137L career · 2 lines in 2022
<1%73%27%
4.42
4.5
Ayano Nakamura
331W–128L career · 1 line in 2022
<1%75%25%
4.41
Mary Therese Lee
212W–126L career · 2 lines in 2022
1%92%7%
4.31
Whitney Martin
52W–32L career · 1 line in 2022
94%6%<1%
4.30
3.5
Fra Angelica Farinas- Wright
70W–29L career · no lines in 2022
not enough data
Ashley Podraza
11W–5L career · 3 lines in 2022
not enough data
Karlyn Martin
39W–15L career · 4 lines in 2022
not enough data
Kathleen Preston
45W–21L career · 1 line in 2022
not enough data
Valeria Stoilova
8W–6L career · 4 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.