Teams

Ni/Lekser

2025 18&Over Mixed Manhattan · 7.0 Mixed

16 players · average NTRP 3.50 / 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 →
Schedule11 played
2025-01-26vs Ishizawa/JonesWon 30
W#1 DoublesGraham Browne / Pam Widener vs A Gzegorzewski / Kenneth Barretto6-4, 6-2
W#2 DoublesMahir Eusufzai / Lisa Chi vs Takako Kawana / Vinit Akolkar6-0, 6-1
W#3 DoublesAshok Basawapatna / Julien Li vs Alena Morozova / Sam Huang6-3, 7-5
2025-01-21vs Lam/BarrientosWon 30
W#1 DoublesPam Widener / Kevin Ni vs Jennifer Ahn Misner / Patrick Tsai6-4, 6-1
W#2 DoublesMahir Eusufzai / Lauren Yu vs Olivia Dalglish / Andrew Ng6-0, 6-4
W#3 DoublesMiranda Manimbo / Graham Browne vs Grace Liu / Rob Montgomery6-2, 1-6, 1-0
2025-01-14vs VoeffrayWon 30
W#1 DoublesTamara Casteels / Gabriel Birman vs Paige Voeffray / John Prusakowski6-2, 6-2
W#2 DoublesPam Widener / Yuji Okumura vs Isabella Laufer / Jordan Schilling6-3, 6-3
W#3 DoublesLauren Yu / Mahir Eusufzai vs Lucy Burnhams / Tejaswin Gumber6-2, 6-0
2025-01-05vs ImperialWon 30
W#1 DoublesJulien Li / Kevin Ni vs Lily Hsu / Scott Spitze7-6, 6-3
W#2 DoublesLauren Yu / Graham Browne vs Tracy Hu / Timothy Pham3-6, 6-5
W#3 DoublesTamara Casteels / Gabriel Birman vs Sarah El-Edlibi / Ernest Mai6-3, 6-4
2024-12-18vs BhagwagarLost 12
L#1 DoublesYang Xu / Tamara Casteels vs Eric Laderman / Ling Zhang3-6, 7-5, 1-0
W#2 DoublesGraham Browne / Kiran Pant vs Winson Wong / Melody Peng7-6, 3-6, 1-0
L#3 DoublesYuji Okumura / Michelle Wong vs Leonardo King / Annie Yao6-7, 3-6
2024-12-12vs HirshWon 20
W#1 DoublesKiran Pant / Graham Browne vs Jonathan Hirsh / Ariella Ben-Dov3-6, 6-2, 1-0
W#3 DoublesKevin Ni / Lina Lekser vs Christine Chan / Suchith Vasudevan6-0, 6-0
2024-12-08vs RosenbergWon 20
W#1 DoublesTamara Casteels / Yuji Okumura vs Miriam Brunnwasser / Chris Spargo6-3, 6-0
W#2 DoublesKiran Pant / Mahir Eusufzai vs Lucy Dew / Danny Huynh6-0, 6-2
2024-11-17vs JMTA All Stars Mixed DubsWon 21
W#1 DoublesMiranda Manimbo / Yuchen Wan vs Jessica Stewart / Carlos Alvarez Posadilla6-2, 6-4
L#2 DoublesMichelle Wong / Ashok Basawapatna vs Marcelle de Soares / Michael DeMeo4-6, 1-6
W#3 DoublesLina Lekser / Yang Xu vs Abby Schwartz / John Gallacher7-6, 6-3
2024-11-07vs Manhattan: Rohr/KorngutWon 21
W#1 DoublesYuchen Wan / Lisa Chi vs Yu He / Erica Korngut6-2, 6-3
L#2 DoublesKevin Ni / Lynn-Yen Koh vs Jessica Sasaki / Hasnain Khan2-6, 3-6
W#3 DoublesGraham Browne / Kiran Pant vs Meiko Boynton / Theodros Dibabu6-4, 6-4
2024-11-03vs BernsteinLost 03
L#1 DoublesKevin Ni / Julien Li vs Ten Ramos / Lorri Ahl2-6, 6-2, 0-1
L#2 DoublesLina Lekser / Yuchen Wan vs Christine Shuler / Henry Sandberg1-6, 2-6
L#3 DoublesLauren Yu / Ashok Basawapatna vs Lisa Bernstein / Thomas Artaki6-7, 4-5
2024-10-18vs Singh/TrujilloWon 30
W#1 DoublesKevin Ni / Miranda Manimbo vs Eduardo Mere / Marija Vareikaite6-3, 6-7, 1-0
W#2 DoublesTamara Casteels / Yuji Okumura vs Surinder Singh / Rene Trujillo7-5, 7-5
W#3 DoublesMahir Eusufzai / Michelle Wong vs Craig Butler / Ingrid Eberly6-2, 6-2
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 standings7 teams · 7.0 Mixed
TeamWLInd. WInd. LSets lostGames lost
1JMTA All Stars Mixed Dubs010131633271
2Singh/Trujillo01092144299
3Lam/Barrientos01127615189
4Ni/Lekser01124821245
5Manhattan: Rohr/Korngut011231022223
6Voeffray011112146333
7Ishizawa/Jones01182349349

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 3.49 estimated across 13 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.

3.96
Tamara Casteels
usually #1 Doubles 67%, also #3 Doubles 22% · published
3.91
Kiran Pant
usually #2 Doubles 46%, also #1 Doubles 39% · published
3.61
Kevin Ni
usually #1 Doubles 67%, also #3 Doubles 17% · published
3.50
Julien Li
usually #3 Doubles 57%, also #1 Doubles 29% · published 3.5
3.49
Lauren Yu
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.47
Pam Widener
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.46
Miranda Manimbo
usually #2 Doubles 43%, also #1 Doubles 29% · published
3.43
Gabriel Birman
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.39
Mahir Eusufzai
usually #2 Doubles 60%, also #3 Doubles 40% · published
3.32
Yuji Okumura
usually #2 Doubles 50%, also #1 Doubles 25% · published
3.30
Lina Lekser
usually #3 Doubles 63%, also #1 Doubles 25% · published 3.5
3.26
Ashok Basawapatna
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.24
Graham Browne
usually #2 Doubles 33%, also #3 Doubles 33% · published 3.5
Lynn-Yen Koh
usually #2 Doubles 67%, also #3 Doubles 33% · published
Yang Xu
published
Yuchen Wan
usually #1 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.

Kiran Pant + Graham Browne303 matchesnot enough data
Kevin Ni + Lauren Yu303 matchesnot enough data
Lauren Yu + Gabriel Birman303 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.

Tamara Casteels
57W–26L career · 9 lines in 2025
<1%62%38%
3.96
Kiran Pant
48W–31L career · 13 lines in 2025
<1%75%25%
3.91
Kevin Ni
53W–26L career · 6 lines in 2025
<1%19%81%
3.61
3.5
Julien Li
80W–57L career · 7 lines in 2025
<1%48%52%
3.50
Lauren Yu
24W–8L career · 4 lines in 2025
<1%52%48%
3.49
3.5
Pam Widener
112W–84L career · 3 lines in 2025
<1%60%40%
3.47
Miranda Manimbo
43W–26L career · 7 lines in 2025
62%38%<1%
3.46
3.5
Gabriel Birman
23W–6L career · 2 lines in 2025
<1%70%30%
3.43
Mahir Eusufzai
19W–6L career · 5 lines in 2025
<1%81%19%
3.39
Yuji Okumura
54W–41L career · 4 lines in 2025
1%91%8%
3.32
3.5
Lina Lekser
97W–54L career · 8 lines in 2025
1%93%6%
3.30
3.5
Ashok Basawapatna
13W–11L career · 3 lines in 2025
2%94%3%
3.26
3.5
Graham Browne
33W–15L career · 6 lines in 2025
3%94%2%
3.24
Lynn-Yen Koh
6W–7L career · 3 lines in 2025
not enough data
Yang Xu
3W–1L career · no lines in 2025
not enough data
Yuchen Wan
7W–2L career · 3 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.