Teams

CP:Thunder:Raman

2023 SCT Mixed 18 & Over · 8.0 Mixed 2

17 players · average NTRP 3.83 / SOUTHERN CONNECTICUT

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 →
Schedule12 played
2023-02-18vs CP:Mixed Signals 18+:das Neves/PonLost 02
L#1 DoublesAllyson Wuensch / Naveen Prakash vs Edgar Torres / Emilie Chang4-6, 1-6
L#2 DoublesShirley Liu / Jonathan Liu vs Paul Kissner / Tory Woodruff3-6, 3-6
2023-01-28vs SOL:Mixed Nuts:Dorais/SubramanianLost 02
L#1 DoublesAli Campbell / Matthew Marshall vs Melissa Boston / Vishal Suvagiya1-6, 6-7
L#2 DoublesAllyson Wuensch / Vijayan Pandalai vs Cintia Shiro / Robert Chun2-6, 1-6
2023-01-21vs KH:Keep it Deep:Ryan/BrozekLost 02
L#1 DoublesDeb Parnes / Naveen Prakash vs Monica Ryan / Jeffrey Brozek3-6, 1-6
L#2 DoublesShirley Liu / Jonathan Liu vs Sharon Casey / David Todrin4-6, 5-7
2023-01-21vs SOL:Public Enemy # 1:SpennerLost 02
L#1 DoublesDeb Parnes / Vijayan Pandalai vs Brian Hawe / Jennifer Murphy4-6, 4-6
L#2 DoublesNaveen Prakash / Danielle Muller-Yoo vs Bobby Choe / Jessica Fu2-6, 4-6
2023-01-14vs KH:Keep it Deep:Ryan/BrozekLost 02
L#1 DoublesShirley Liu / Jonathan Liu vs Stefani Negrin / Jose Beteta4-6, 1-6
L#2 DoublesAllyson Wuensch / Vijayan Pandalai vs Christina Scherwin / Patrick Coleman3-6, 1-6
2023-01-07vs SOL:Mixed Nuts:Dorais/SubramanianLost 12
W#1 DoublesMichael Propst / Ali Campbell vs Vishal Suvagiya / Allison Gibbs6-2, 6-2
L#2 DoublesDarren Senzon / Danielle Muller-Yoo vs Cintia Shiro / Robert Chun3-6, 1-6
L#3 DoublesVijayan Pandalai / Allyson Wuensch vs Helen Chun / Matthew Allan6-3, 2-6, 0-1
2022-12-16vs SOL:Public Enemy # 1:SpennerLost 03
L#1 DoublesKevin Grewal / Carol Kramer vs Eddie Demirci / Jessica Fu1-6, 0-6
L#2 DoublesMatthew Marshall / Danielle Muller-Yoo vs Craig Spenner / Jane Kim1-6, 0-6
L#3 DoublesNaveen Prakash / Allyson Wuensch vs Unni Nair / Laura Emerson6-3, 2-6, 0-1
2022-11-19vs CP:Mixed Signals 18+:das Neves/PonLost 12
L#1 DoublesMatthew Marshall / Deb Parnes vs Sadie Shackelford / Jiten Voralia4-6, 2-6
L#2 DoublesLaurie Hoffman / Naveen Prakash vs Paul Kissner / Susanna Nichols2-6, 1-6
W#3 DoublesDanielle Muller-Yoo / Vijayan Pandalai vs Blake Guzman / Rodney Rideout7-5, 2-6, 1-0
W#1 DoublesMatthew Marshall / Deb Parnes vs Cali Kurlan / Ray Hanna6-1, 6-3
W#2 DoublesKevin Grewal / Carol Kramer vs Maria Das Neves / Peter Sosnow6-7, 6-4, 1-0
W#3 DoublesShirley Liu / Jonathan Liu vs Susanna Nichols / Edgar Torres7-6, 5-4
2022-10-23vs SOL:Mixed Nuts:Dorais/SubramanianLost 03
L#1 DoublesNaveen Prakash / Deb Parnes vs Cintia Shiro / Vishal Suvagiya3-6, 4-6
L#2 DoublesDanielle Muller-Yoo / Michael Propst vs Brian Dorais / Deanna Santoro7-6, 2-6, 0-1
L#3 DoublesJonathan Liu / Shirley Liu vs Matthew Allan / Xiaoran Liang2-6, 4-6
2022-10-15vs SOL:Public Enemy # 1:SpennerLost 03
L#1 DoublesVijayan Pandalai / Allyson Wuensch vs Thomas Youn / Melissa Welch3-6, 3-6
L#2 DoublesDarren Senzon / Laurie Hoffman vs Bobby Choe / Jane Kim3-6, 0-6
L#3 DoublesKevin Grewal / Carol Kramer vs Eddie Demirci / Julia Cho4-6, 3-6
2022-10-08vs KH:Keep it Deep:Ryan/BrozekLost 03
L#1 DoublesDeb Parnes / Kevin Grewal vs Stefani Negrin / Jose Beteta2-6, 2-6
L#2 DoublesRose Creech / Naveen Prakash vs Christina Scherwin / Jay Bockhaus4-6, 4-6
L#3 DoublesShirley Liu / Matthew Marshall vs Tatiane Canady / David Zemel1-6, 0-6
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 standings9 teams · 8.0 Mixed 2
TeamWLInd. WInd. LSets lostGames lost
1MIT:Mixed Bulldogs:Dellacroce01230616246
2KH:Keep it Deep:Ryan/Brozek012251126253
3SOL:Public Enemy # 1:Spenner012241232295
4CP:Mixed Signals 18+:das Neves/Pon012191736302
54S:Biele/Smey012191737300
6SOL:Mixed Nuts:Dorais/Subramanian012171941324
7MRC:Court Jesters:O'Donnell/Kinoshita012142149333
84S:Wise Aces:Watson/CoConis01262964409
9CP:Thunder:Raman01253164411

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 3.47 estimated across 12 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.

3.79
Laurie Hoffman
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.76
Darren Senzon
usually #2 Doubles 100% · published 4
3.72
Ali Campbell
usually #1 Doubles 100% · published 4
3.71
Michael Propst
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.63
Naveen Prakash
usually #1 Doubles 44%, also #2 Doubles 33% · published
3.62
Jonathan Liu
usually #3 Doubles 40%, also #2 Doubles 40% · published
3.56
Allyson Wuensch
usually #3 Doubles 47%, also #1 Doubles 27% · published 4
3.55
Deb Parnes
usually #1 Doubles 100% · published 4
3.41
Carol Kramer
usually #2 Doubles 33%, also #3 Doubles 33% · published 3.5
3.27
Danielle Muller-Yoo
usually #2 Doubles 80%, also #3 Doubles 20% · published 3.5
2.88
Malathi Raman
usually #2 Doubles 100% · published
2.70
Shirley Liu
usually #3 Doubles 50%, also #2 Doubles 33% · published
Gadi Gavronsky
published
Kevin Grewal
usually #1 Doubles 50%, also #2 Doubles 25% · published
Matthew Marshall
usually #1 Doubles 60%, also #3 Doubles 20% · published
Rose Creech
usually #2 Doubles 100% · published
Vijayan Pandalai
usually #2 Doubles 50%, 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.

Shirley Liu + Jonathan Liu161054% games+20.7% vs expected
Allyson Wuensch + Vijayan Pandalai0529% gamesnot enough data
Naveen Prakash + Allyson Wuensch123 matchesnot enough data
Carol Kramer + Kevin Grewal123 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.

Laurie Hoffman
279W–92L career · 8 lines in 2023
2%91%7%
3.79
4
Darren Senzon
31W–41L career · 3 lines in 2023
3%93%4%
3.76
4
Ali Campbell
169W–137L career · 2 lines in 2023
6%92%2%
3.72
Michael Propst
22W–27L career · 2 lines in 2023
6%92%2%
3.71
Naveen Prakash
26W–33L career · 9 lines in 2023
17%83%<1%
3.63
Jonathan Liu
46W–22L career · 5 lines in 2023
<1%<1%>99%
3.62
4
Allyson Wuensch
69W–68L career · 15 lines in 2023
34%66%<1%
3.56
4
Deb Parnes
119W–133L career · 6 lines in 2023
36%64%<1%
3.55
3.5
Carol Kramer
48W–31L career · 3 lines in 2023
<1%73%27%
3.41
3.5
Danielle Muller-Yoo
103W–93L career · 5 lines in 2023
3%92%5%
3.27
Malathi Raman
47W–75L career · 1 line in 2023
80%20%<1%
2.88
Shirley Liu
67W–118L career · 6 lines in 2023
8%91%2%
2.70
Gadi Gavronsky
2W–1L career · no lines in 2023
not enough data
Kevin Grewal
11W–20L career · 4 lines in 2023
not enough data
Matthew Marshall
2W–11L career · 5 lines in 2023
not enough data
Rose Creech
19W–13L career · 1 line in 2023
not enough data
Vijayan Pandalai
41W–40L career · 8 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.