Teams

Man: Funtime (Zhang/Tang)

2023 18&Over Women Manhattan · 4.0 Women

21 players · average NTRP 4.10 / METROPOLITAN REGION

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 →
Schedule8 played
2023-07-10vs Gould/ReyWon 32
W#1 DoublesClara Ceccaldi / Anna Tang vs Kathy Rey / Mary Mondello6-4, 6-1
L#1 SinglesWenchun Wu vs Skyler Simson6-4, 4-6, 0-1
W#2 DoublesAki Ogata / Jennifer Soper vs Nora Holmes / Laurie Elvove6-2, 7-5
W#2 SinglesLeslie Chen vs Jacqueline Vazquez6-3, 7-5
L#3 DoublesLinda Humphrey / Joanna Ostrander vs Christine Burns / Susan Zeigler6-4, 4-6, 0-1
2023-06-28vs BrodWon 31
W#1 DoublesAnna Tang / Olivia Dalglish vs Natalia Podolska / Sierra Weoss6-0, 6-3
L#1 SinglesAnita Venkiteswaran vs Chloe Boniface0-6, 2-6
W#2 DoublesYimei He / Aki Ogata vs Melissa Brod / Polina Shchukina6-0, 6-0
W#2 SinglesLeslie Chen vs Yue Yin6-1, 6-1
2023-06-22vs FordWon 41
L#1 DoublesAngelica Mattschei / Wendy Iraheta vs Misha Monticciolo / Nicole Tavernier6-0, 2-6, 0-1
W#1 SinglesWenchun Wu vs Joan Pulupa2-6, 6-2, 1-0
W#2 DoublesAnna Tang / Aki Ogata vs Cheryl-Anne Bliss / Valerie Rifkin6-0, 6-2
W#2 SinglesJane Wang vs Vanessa Lee6-1, 6-2
W#3 DoublesYvette Gong / Clara Ceccaldi vs Heide Marie Bliss / Suzanne Shapiro6-2, 2-6, 1-0
2023-06-04vs Eichenbaum/HyamsWon 32
L#1 DoublesYimei He / Anna Tang vs Linda Eichenbaum / Karen Hyams5-7, 3-6
L#1 SinglesMariel Hollins vs Francine Pickup2-6, 2-6
W#2 DoublesWendy Iraheta / Angelica Mattschei vs Lynn Barker / Joy Tegtmeyer7-5, 6-5
W#2 SinglesOlivia Dalglish vs Graciana Lapetina6-0, 6-1
W#3 DoublesJennifer Soper / Zhihong Zhang vs Mariko Abdel-Rahman / Susanne Sparks6-3, 6-2
2023-05-16vs Gould/ReyWon 40
W#1 DoublesWendy Iraheta / Olivia Dalglish vs Jasmine Harris Khalil / Lane Merlo1-6, 6-2, 1-0
W#1 SinglesLeslie Chen vs Skyler Simson4-6, 6-1, 1-0
W#2 DoublesAnna Tang / Aki Ogata vs Karen Blakely / Jackie Meretsky7-5, 6-2
W#3 DoublesJoanna Ostrander / Linda Humphrey vs Nora Holmes / Laurie Elvove6-2, 6-7
2023-05-07vs BrodWon 31
W#1 DoublesAngelica Mattschei / Wendy Iraheta vs Melissa Brod / Suzanne Elovic6-0, 6-0
W#1 SinglesLeslie Chen vs Yue Yin6-1, 6-1
W#2 DoublesAnna Tang / Zhihong Zhang vs Natalia Podolska / Asel Khatypova6-2, 6-1
L#3 DoublesSherlia Shi / Connor Carreras vs Esther Hong / Courtney Sokol5-7, 2-5
2023-05-01vs FordLost 23
L#1 DoublesAnna Tang / Yimei He vs Frances Buckley / Misha Monticciolo5-7, 5-7
W#1 SinglesWenchun Wu vs Joan Pulupa6-1, 6-1
W#2 DoublesAngelica Mattschei / Wendy Iraheta vs Lisa Sippel / Leslie Lombino6-3, 6-1
L#2 SinglesYvette Gong vs Jennifer Sales6-4, 3-6, 1-0
L#3 DoublesZhihong Zhang / Sherlia Shi vs Heide Marie Bliss / Lisa Bernstein2-6, 6-3, 1-0
2023-04-14vs Eichenbaum/HyamsWon 41
W#1 DoublesAki Ogata / Anna Tang vs Tracy Kleinberg / Lisa Newell7-5, 4-6, 1-0
W#1 SinglesMariel Hollins vs Beth Capelin6-3, 6-3
W#2 DoublesWendy Iraheta / Angelica Mattschei vs Linda Eichenbaum / Karen Hyams6-1, 5-7
W#2 SinglesWenchun Wu vs Joy Tegtmeyer6-2, 6-2
L#3 DoublesLeslie Chen / Sherlia Shi vs Lynn Barker / Berry Ravitz1-6, 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 · 4.0 Women
TeamWLInd. WInd. LSets lostGames lost
1Man: Funtime (Zhang/Tang)08261231271
2Gould/Rey08241537332

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 3.79 estimated across 14 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.

4.35
Clara Ceccaldi
usually #1 Doubles 50%, also #3 Doubles 50% · published 4.5
4.26
Wenchun Wu
usually #1 Singles 75%, also #2 Singles 25% · published
3.94
Wendy Iraheta
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.94
Olivia Dalglish
usually #1 Doubles 67%, also #2 Singles 33% · published 4
3.91
Jennifer Soper
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.88
Anna Tang
usually #1 Doubles 63%, also #2 Doubles 38% · published 4.5
3.88
Aki Ogata
usually #2 Doubles 80%, also #1 Doubles 20% · published 4
3.75
Anita Venkiteswaran
usually #1 Singles 63%, also #2 Singles 25% · published 4
3.75
Yvette Gong
usually #2 Singles 50%, also #3 Doubles 50% · published
3.63
Angelica Mattschei
usually #2 Doubles 60%, also #1 Doubles 40% · published 4
3.61
Yimei He
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.48
Sherlia Shi
usually #3 Doubles 100% · published 4
3.35
Melissa Thomas
published
3.29
Jane Wang
usually #1 Singles 80%, also #2 Singles 20% · published
Joanna Ostrander
usually #3 Doubles 100% · published
Leslie Chen
usually #3 Doubles 43%, also #2 Singles 29% · published
Linda Humphrey
usually #3 Doubles 100% · published
Mariel Hollins
usually #1 Singles 100% · published
Thalia Rich
published
Zhihong Zhang
usually #3 Doubles 67%, also #2 Doubles 33% · 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.

Jennifer Soper + Melissa Thomas39661% games+9.9% vs expected
Sherlia Shi + Zhihong Zhang5349% games+9.6% vs expected
Zhihong Zhang + Anna Tang7369% games+7.0% vs expected
Anna Tang + Olivia Dalglish7062% games+7.0% vs expected
Yimei He + Anna Tang7556% games+3.6% vs expected
Aki Ogata + Anna Tang7065% games+3.0% vs expected
Linda Humphrey + Joanna Ostrander8849% games+2.3% vs expected
Yimei He + Aki Ogata10559% games+1.8% vs expected
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
Clara Ceccaldi
50W–16L career · 2 lines in 2023
1%85%15%
4.35
Wenchun Wu
115W–57L career · 4 lines in 2023
3%93%4%
4.26
Wendy Iraheta
34W–20L career · 6 lines in 2023
66%34%<1%
3.94
4
Olivia Dalglish
88W–29L career · 3 lines in 2023
<1%67%33%
3.94
4
Jennifer Soper
225W–89L career · 2 lines in 2023
<1%74%26%
3.91
4.5
Anna Tang
166W–107L career · 8 lines in 2023
81%19%<1%
3.88
4
Aki Ogata
280W–86L career · type A · 5 lines in 2023
<1%81%19%
3.88
4
Anita Venkiteswaran
111W–73L career · 8 lines in 2023
4%93%4%
3.75
4
Daria Schieferstein
2W–1L career · no lines in 2023
not enough data
Yvette Gong
55W–34L career · 2 lines in 2023
4%93%4%
3.75
4
Angelica Mattschei
27W–30L career · 5 lines in 2023
18%82%<1%
3.63
4
Yimei He
113W–97L career · 3 lines in 2023
21%79%<1%
3.61
4
Sherlia Shi
161W–217L career · 3 lines in 2023
54%46%<1%
3.48
Melissa Thomas
186W–77L career · no lines in 2023
86%14%<1%
3.35
Jane Wang
85W–79L career · 5 lines in 2023
93%7%<1%
3.29
Joanna Ostrander
12W–14L career · 2 lines in 2023
not enough data
Leslie Chen
18W–6L career · 7 lines in 2023
not enough data
Linda Humphrey
16W–13L career · 2 lines in 2023
not enough data
Mariel Hollins
58W–56L career · 2 lines in 2023
not enough data
Thalia Rich
2W–6L career · no lines in 2023
not enough data
Zhihong Zhang
78W–40L career · 3 lines in 2023
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.