Teams

EHTC:Mixers:Bray/Weinstein

2021 NCT Mixed 18 & Over · 8.0 18 & Over Mixed 1

13 players · average NTRP 4.12 / NORTHERN 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 →
Schedule6 played
2021-03-12vs SIMS:Whacqued:Leon/RobbinsWon 21
W#1 DoublesJames Melesko / Lauren Riether-Mills vs James Burda / Kristina Raymond6-2, 6-2
W#2 DoublesVirginia Blair / Michael Blair vs Kevin Imbt / Jannine Leshem4-6, 6-1, 1-0
L#3 DoublesJaybel Yazon / Alexander Lovejoy vs Teri Parekh / Raul Valdes4-6, 7-6, 1-0
2021-03-05vs MLM:Mixed Magic:LusardiWon 30
W#1 DoublesMary Varley / Adam Weinstein vs Tejas Bhatt / Setsuko McNabb6-0, 6-2
W#2 DoublesJaybel Yazon / Alexander Lovejoy vs Judith Mason / Scott Mason7-5, 6-4
W#3 DoublesDavid Chung / Barbara Clarke vs Denise Toce / Ira Mayo6-3, 6-1
2021-02-21vs BTC:Bloomfield Bobcats:Datsko/WuLost 02
L#1 DoublesAdam Weinstein / Lauren Riether-Mills vs Rostyk Datsko / Elizabeth Crabtree3-6, 4-6
L#2 DoublesNancy Bray / Michael Blair vs Rick Wu / Lisa Calcasola4-6, 2-6
2020-11-08vs FV:Grip N Rip:Aronson/SuttmeierWon 21
W#1 DoublesLauren Riether-Mills / Adam Weinstein vs Nancy Altschuler / Jeff Stock7-6, 6-1
L#2 DoublesVirginia Blair / Michael Blair vs Gigi Badiola / Trevor Glasgow6-3, 2-6, 0-1
W#3 DoublesBarbara Clarke / Kellen Gan vs Stephen Aronson / Teresa Perrucci6-4, 5-7, 1-0
2020-10-25vs BSF:Nguyen/StasiowskaWon 30
W#1 DoublesLauren Riether-Mills / Adam Weinstein vs Ewa Stasiowska / Ravindra Gadangi7-5, 7-6
W#2 DoublesMichael Blair / Virginia Blair vs Cari Anne Goodwin / David Goodwin6-7, 6-5, 1-0
W#3 DoublesStacey Weinstein / David Chung vs Ming Yi / Sridhar Srinivasan7-5, 6-1
2020-10-04vs RH:Topspin Terminators:DunnLost 02
L#1 DoublesJames Melesko / Mary Varley vs Donald Hoover / Zoe Dolan3-6, 1-6
L#2 DoublesKellen Gan / Nancy Bray vs Loren Dunn / Karyn Blaise1-6, 6-4, 0-1
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 standings5 teams · 8.0 18 & Over Mixed 1
TeamWLInd. WInd. LSets lostGames lost
1BTC:Bloomfield Bobcats:Datsko/Wu6014410133
2EHTC:Mixers:Bray/Weinstein4211718165
3FV:Grip N Rip:Aronson/Suttmeier249923185
4SIMS:Whacqued:Leon/Robbins2481023182
5MLM:Mixed Magic:Lusardi0511429178

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 3.67 estimated across 9 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.

4.43
Adam Weinstein
usually #1 Doubles 100% · published 4.5
James Melesko
usually #1 Doubles 100% · published 4.5
4.10
Lauren Riether-Mills
usually #1 Doubles 100% · published
3.82
Virginia Blair
usually #2 Doubles 100% · published
3.81
Alexander Lovejoy
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.79
Stacey Weinstein
usually #3 Doubles 100% · published
3.60
Michael Blair
usually #2 Doubles 100% · published
3.22
Barbara Clarke
usually #3 Doubles 100% · published 3.5
3.19
Nancy Bray
usually #1 Doubles 60%, also #2 Doubles 40% · published
3.04
Mary Varley
usually #1 Doubles 100% · published
David Chung
usually #3 Doubles 100% · published
Jaybel Yazon
usually #3 Doubles 75%, also #2 Doubles 25% · published
Kellen Gan
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.

Nancy Bray + James Melesko4355% games+10.0% vs expected
Adam Weinstein + Lauren Riether-Mills7258% games+1.3% vs expected
Virginia Blair + Michael Blair161551% games−0.2% vs expected
Jaybel Yazon + Alexander Lovejoy2349% gamesnot enough data
Stacey Weinstein + David Chung314 matchesnot enough data
Adam Weinstein + Nancy Bray314 matchesnot enough data
Kellen Gan + Barbara Clarke314 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.

4.5
Adam Weinstein
88W–36L career · 4 lines in 2021
<1%69%31%
4.43
4.5
James Melesko
15W–7L career · type M · 2 lines in 2021
not enough data
Lauren Riether-Mills
137W–102L career · 4 lines in 2021
23%77%<1%
4.10
Virginia Blair
109W–73L career · 3 lines in 2021
1%91%8%
3.82
4
Alexander Lovejoy
90W–58L career · 2 lines in 2021
1%92%8%
3.81
Stacey Weinstein
93W–55L career · 1 line in 2021
1%93%5%
3.79
Michael Blair
29W–39L career · 4 lines in 2021
22%78%<1%
3.60
3.5
Barbara Clarke
41W–59L career · 2 lines in 2021
4%94%2%
3.22
Nancy Bray
70W–113L career · 5 lines in 2021
7%92%1%
3.19
Mary Varley
25W–47L career · 2 lines in 2021
37%63%<1%
3.04
David Chung
13W–8L career · 2 lines in 2021
not enough data
Jaybel Yazon
46W–51L career · 4 lines in 2021
not enough data
Kellen Gan
10W–14L career · 4 lines in 2021
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.