Teams

SUMMER CTRL/Bring It On!!!

Mixed 40 & Over - Summer · 7.0 Central Mixed Doubles

16 players · average NTRP 3.50 / NEW JERSEY

View scouting list →
Schedule6 played
2025-09-07vs Rat PackWon 21
L#1 DoublesMukund Pai / Yijia Feng vs Mike Gallagher / Sylwia Stachura7-6, 3-6, 0-1
W#2 DoublesYoojung Co / Ajay Singhal vs David Hilgen / Alyssa Pepper6-3, 6-3
W#3 DoublesKathy Tsang / Prasada Vontipenta vs Michael Bzdak / Meredith Bzdak6-3, 7-6
2025-08-24vs Dragon FlyWon 30
W#1 DoublesAlison North / Scott Grossman vs Andrea Chu / Lixiong Gu6-3, 3-6, 1-0
W#2 DoublesKathy Tsang / Nischint Manelkar vs Tong Zhang / Lang Lu6-1, 6-4
W#3 DoublesAdriana Levine / Mukund Pai vs Hsiaoli Ma / Jiachang Gong3-6, 6-2, 1-0
2025-08-10vs Rat PackWon 30
W#1 DoublesAjay Singhal / Tina Gonzalez vs Patrick Todd / Sylwia Stachura6-3, 6-0
W#2 DoublesAdriana Levine / Richard Liu vs David Hilgen / Morgann Loyd6-2, 6-2
W#3 DoublesRobert Fea / Allison Bloch vs Michael Bzdak / Meredith Bzdak6-2, 6-2
2025-08-03vs Dragon FlyLost 12
L#1 DoublesScott Grossman / Yoojung Co vs Xiaoming Chen / Mary Chion6-7, 3-6
W#2 DoublesNischint Manelkar / Kathy Tsang vs Nui Chan / Lia Chen6-4, 6-2
L#3 DoublesRobert Fea / Alison North vs Lixiong Gu / Andrea Chu6-7, 3-6
2025-07-20vs Rat PackWon 30
W#1 DoublesScott Grossman / Tina Gonzalez vs Thomas Dickey / Morgann Loyd6-2, 6-2
W#2 DoublesNischint Manelkar / Yijia Feng vs Michael Bzdak / Sylwia Stachura6-3, 6-2
W#3 DoublesRichard Liu / Chloris Li vs Joseph Tomasello / Alyssa Pepper6-1, 6-1
2025-07-13vs Dragon FlyWon 21
W#1 DoublesAllison Bloch / Scott Grossman vs Andrea Chu / Lixiong Gu7-5, 6-3
W#2 DoublesChloris Li / Kevin Irani vs Yuan Li / Rui Qin5-7, 7-5, 1-0
L#3 DoublesTina Gonzalez / Prasada Vontipenta vs Yunyun Xiong / Lang Lu1-6, 1-6
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 · 7.0 Central Mixed Doubles
TeamWLInd. WInd. LSets lostGames lost
1SUMMER CTRL/Bring It On!!!0614411136
2Dragon Fly0611716144
3Rat Pack0621634208

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 3.46 estimated across 15 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.

3.80
Nischint Manelkar
usually #2 Doubles 100% · published
3.77
Alison North
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.72
Kevin Irani
usually #2 Doubles 100% · published
3.64
Scott Grossman
usually #1 Doubles 100% · published
3.61
Mukund Pai
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
3.58
Richard Liu
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.50
Allison Bloch
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
3.48
Kathy Tsang
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.43
Yoojung Co
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.41
Ajay Singhal
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.30
Prasada Vontipenta
usually #3 Doubles 100% · published
3.29
Tina Gonzalez
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.22
Chloris Li
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.06
Yijia Feng
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.05
Adriana Levine
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
Robert Fea
usually #3 Doubles 100% · 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.

Scott Grossman + Alison North38363% games+2.6% vs expected
Kathy Tsang + Nischint Manelkar5356% gamesnot enough data
Richard Liu + Adriana Levine5166% gamesnot enough data
Tina Gonzalez + Kevin Irani4157% gamesnot enough data
Allison Bloch + Scott Grossman303 matchesnot enough data
Allison Bloch + Kevin Irani303 matchesnot enough data
Prasada Vontipenta + Alison North303 matchesnot enough data
Richard Liu + Chloris Li123 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.

Nischint Manelkar
130W–76L career · 3 lines in 2026
1%93%6%
3.80
3.5
Alison North
184W–37L career · 2 lines in 2026
<1%2%98%
3.77
Kevin Irani
89W–41L career · 1 line in 2026
5%94%1%
3.72
Scott Grossman
142W–41L career · 4 lines in 2026
<1%14%86%
3.64
4
Mukund Pai
179W–130L career · 2 lines in 2026
20%80%<1%
3.61
Richard Liu
112W–89L career · 2 lines in 2026
<1%28%72%
3.58
3.5
Allison Bloch
291W–156L career · 2 lines in 2026
<1%49%51%
3.50
3.5
Kathy Tsang
122W–81L career · 3 lines in 2026
<1%55%45%
3.48
3.5
Yoojung Co
174W–108L career · 2 lines in 2026
<1%70%30%
3.43
3.5
Ajay Singhal
54W–40L career · 2 lines in 2026
<1%75%25%
3.41
Prasada Vontipenta
153W–102L career · 2 lines in 2026
1%93%6%
3.30
Tina Gonzalez
172W–137L career · 3 lines in 2026
1%93%6%
3.29
3.5
Chloris Li
115W–69L career · 2 lines in 2026
4%94%2%
3.22
Yijia Feng
34W–19L career · 2 lines in 2026
<1%32%68%
3.06
3
Adriana Levine
83W–51L career · type A · 2 lines in 2026
<1%35%65%
3.05
Robert Fea
17W–16L career · 2 lines in 2026
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.