Teams

WTC: Trickster Mixer

2024 18&Over Mixed · 8.0

22 players · average NTRP 4.00 / SOUTHERN 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 →
Schedule9 played
2024-01-20vs Vista: The WildlingsSplit 11
W#1 DoublesPatrick Foristel / Mary Mondello vs Guy Junkins / Stephanie Heitner7-5, 3-6, 1-0
L#2 DoublesAndre Vollbrecht / Sarah Thompson vs Jane Kim / Tom Foran0-6, 0-6
2024-01-05vs Chestnut Ridge: Match MakersWon 30
W#1 DoublesMatthew Morreale / Mary Mondello vs Scottie Guerney / Mark Leeds6-1, 6-3
W#2 DoublesAli Sims / Patrick Foristel vs Lisa Lubart / Adam Lubart6-4, 4-6, 1-0
W#3 DoublesSteven Lee / Linda Lee vs Sara Hopple / Hayes Hopple5-7, 6-2, 1-0
2023-12-15vs Yonkers T.C.Won 30
W#1 DoublesMatthew Morreale / Mary Mondello vs Andrew Duan / Marta Piksinska6-1, 6-1
W#2 DoublesBrigitte Tanner / Yong Gao vs Benjamin Chin / Jill Bakken7-6, 6-3
W#3 DoublesLinda Lee / Victor Rosenblit vs Daniel Constantine / Annmarie Riccio6-0
2023-12-08vs WTC: NY Fall Mix 8.0 Harris/ShiroLost 12
L#1 DoublesMary Mondello / Victor Rosenblit vs Kevin Weinberger / Erin Harris3-6, 2-6
W#2 DoublesYong Gao / Nora Holmes vs Susanna Daniel / Bobby Choe6-3, 6-3
L#3 DoublesJan Wild / Greg Martin vs Cintia Shiro / Matthew Allan6-7, 2-6
L#1 DoublesMary Mondello / Victor Rosenblit vs Deanna Santoro / David Antenucci3-6, 6-1, 0-1
L#2 DoublesWanda Rettagliata / Kirk Holmes vs Salam Turki / Benjamin McGill6-7, 1-6
W#3 DoublesLinda Lee / Steven Lee vs Lori Abrams / Charlie Abrams6-3, 6-1
2023-11-19vs TCH: This is the RemixLost 12
L#1 DoublesMary Mondello / Matthew Morreale vs Laura Chilton / Peter Scher3-6, 0-6
W#2 DoublesWanda Rettagliata / Daniel Herbst vs Blake Guzman / Tom Westmoreland1-6, 7-6, 1-0
L#3 DoublesBrigitte Tanner / Halvard Kvaale vs Murali Krishna / Jessica McNamara1-6, 1-6
2023-11-03vs Premier AthleticWon 30
W#1 DoublesMary Mondello / Victor Rosenblit vs Roge Nesbitt / Ernie Biele6-7, 6-3
W#2 DoublesSarah Thompson / Greg Martin vs Diana Kolev / Daniel Rabinovich6-3, 3-6, 1-0
W#3 DoublesNora Holmes / Daniel Herbst vs Natalie Woolwine / James Katis6-4, 1-6, 1-0
2023-10-22vs MTDZLost 03
L#1 DoublesMatthew Morreale / Jan Wild vs Wulf Lueckerath / Tina Fernandez6-4, 1-6, 0-1
L#2 DoublesPatrick Foristel / Suzanne Schnitta vs Muhabi Simunyola / Ayako Tsukamoto1-6, 1-6
L#3 DoublesYong Gao / Brigitte Tanner vs Mpande Simunyola / Heather Chandler6-7, 4-6
L#1 DoublesNanette Koryn / Rick Sobel vs Gillian Scott / Andrew Roth4-6, 4-6
L#2 DoublesSarah Thompson / Michael Foristel vs Emilie Chang / James Elliot4-6, 4-6
L#3 DoublesJan Wild / Halvard Kvaale vs Felicia DeSanto / Yoonho Park4-6, 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 standings7 teams · 8.0
TeamWLInd. WInd. LSets lostGames lost
1Vista: The Wildlings0920617199
2WTC: NY Fall Mix 8.0 Harris/Shiro0918923225
3TCH: This is the Remix09131431236
4Chestnut Ridge: Match Makers09141333265
5WTC: Trickster Mixer09121435262
6WTC: NY 8.0 18+ Stirred, Not Shaken0991739268
7Yonkers T.C.0942350307

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 3.71 estimated across 10 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.

3.95
Matthew Morreale
usually #1 Doubles 100% · published
3.93
Sarah Thompson
usually #2 Doubles 100% · published 4.5
3.84
Halvard Kvaale
usually #3 Doubles 100% · published
3.83
Mary Mondello
usually #1 Doubles 88%, also #3 Doubles 13% · published 4
3.77
Michele Tesei
published
Ali Sims
usually #2 Doubles 100% · published 4
3.68
Linda Lee
usually #3 Doubles 100% · published
3.64
Daniel Herbst
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
3.60
Yong Gao
usually #2 Doubles 67%, also #3 Doubles 33% · published
3.52
Nora Holmes
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
3.38
Brigitte Tanner
usually #3 Doubles 80%, also #2 Doubles 20% · published 3.5
Andre Vollbrecht
usually #2 Doubles 100% · published
Jan Wild
usually #3 Doubles 67%, also #1 Doubles 33% · published
Kirk Holmes
usually #3 Doubles 33%, also #1 Doubles 33% · published
Michael Foristel
usually #2 Doubles 100% · published
Nanette Koryn
usually #1 Doubles 100% · published
Patrick Foristel
usually #2 Doubles 67%, also #1 Doubles 33% · published
Rick Sobel
usually #1 Doubles 100% · published
Scott Pohlman
usually #1 Doubles 50%, also #2 Doubles 50% · published
Suzanne Schnitta
usually #2 Doubles 100% · published
Victor Rosenblit
usually #1 Doubles 75%, also #3 Doubles 25% · published
Wanda Rettagliata
usually #2 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.

Mary Mondello + Matthew Morreale11163% games+11.6% vs expected
Mary Mondello + Yong Gao5448% games+3.7% vs expected
Kirk Holmes + Nora Holmes12560% games+2.9% vs expected
Brigitte Tanner + Yong Gao6454% games−2.6% vs expected
Mary Mondello + Victor Rosenblit4644% gamesnot enough data
Brigitte Tanner + Halvard Kvaale0725% gamesnot enough data
Jan Wild + Halvard Kvaale2445% gamesnot enough data
Scott Pohlman + Nora Holmes4166% 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.

Matthew Morreale
45W–7L career · 4 lines in 2024
<1%64%36%
3.95
4.5
Sarah Thompson
173W–150L career · 3 lines in 2024
69%31%<1%
3.93
Halvard Kvaale
38W–35L career · 2 lines in 2024
1%87%13%
3.84
4
Mary Mondello
237W–161L career · 8 lines in 2024
1%88%11%
3.83
Michele Tesei
44W–19L career · no lines in 2024
3%92%5%
3.77
4
Ali Sims
4W–1L career · type M · 1 line in 2024
not enough data
Linda Lee
202W–103L career · 3 lines in 2024
10%89%1%
3.68
4
Daniel Herbst
11W–17L career · 2 lines in 2024
16%84%1%
3.64
Yong Gao
84W–50L career · 3 lines in 2024
24%76%<1%
3.60
4
Nora Holmes
181W–161L career · 4 lines in 2024
44%56%<1%
3.52
3.5
Brigitte Tanner
124W–163L career · 5 lines in 2024
<1%80%19%
3.38
Andre Vollbrecht
19W–18L career · 1 line in 2024
not enough data
Jan Wild
106W–92L career · 3 lines in 2024
not enough data
Kirk Holmes
33W–11L career · 3 lines in 2024
not enough data
Michael Foristel
0W–4L career · 1 line in 2024
not enough data
Nanette Koryn
65W–47L career · 1 line in 2024
not enough data
Patrick Foristel
8W–4L career · 3 lines in 2024
not enough data
Rick Sobel
10W–19L career · 1 line in 2024
not enough data
Scott Pohlman
10W–6L career · 2 lines in 2024
not enough data
Suzanne Schnitta
9W–25L career · 1 line in 2024
not enough data
Victor Rosenblit
27W–25L career · 4 lines in 2024
not enough data
Wanda Rettagliata
33W–55L career · 2 lines in 2024
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.