Teams

Sellers/Sloman

2022 18&Over Mixed Manhattan · 7.0 Mixed

14 players · average NTRP 3.25 / 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 →
Schedule9 played
2022-01-13Won 20
W#2 DoublesJohn Wainwright / Kat Brown vs Robin Hunt / Janko Bazhdavela7-5, 6-1
W#3 DoublesEmily Moore / Evan Siegal vs Camille Murphy / Kelly Rogers6-3, 6-0
2022-01-04vs RosenbergLost 12
L#1 DoublesEmily Moore / Mike Latshaw vs Julie Kwak / Young Ahn1-6, 4-6
W#2 DoublesWill Heidmann / Kat Brown vs Elizabeth Freedman / JUSTIN RIFIS6-1, 6-0
L#3 DoublesSarah Sellers / Evan Siegal vs Allison Rosenberg / Anand Punjabi3-6, 2-6
2021-12-09vs Kates/BhagwagarLost 01
L#1 DoublesMike Latshaw / Lorna Bian vs Simon Rubin / Justine Cooper3-6, 0-6
2021-12-04vs Bernstein/Linderman/FlaytonLost 03
L#1 DoublesElizabeth Sharp / Mike Latshaw vs Robin Breuer / Warren Chan2-6, 6-4, 0-1
L#2 DoublesKat Brown / Matthew Jacobs vs Michelle Weiss / Ten Ramos2-6, 1-6
L#3 DoublesChristina Sethi / Evan Siegal vs Christine Shuler / Henry Sandberg3-6, 6-7
2021-11-17vs BindlerSplit 11
L#1 DoublesLeslie Chen / Matthew Jacobs vs Caroline Sabas / Daniel Bindler2-6, 6-2, 0-1
W#3 DoublesKat Brown / Joseph Lee vs Lauren di Chiara / Dan Katzner2-6, 6-1, 1-0
2021-11-07vs RosenbergSplit 11
W#2 DoublesMike Latshaw / Elizabeth Sharp vs Elizabeth Bednarz / Joshua Lappin4-6, 6-4, 1-0
L#3 DoublesJohn Wainwright / Lorna Bian vs Joanna Freedman / JUSTIN RIFIS6-3, 3-6, 0-1
2021-11-02vs FuntimeSplit 11
L#1 DoublesMike Latshaw / Elizabeth Sharp vs Ilana Adelman / David Adelman6-4, 0-6, 0-1
W#2 DoublesMika Takata / Tony Ngo vs Wanning Xu / Karthik Elango4-6, 6-3, 1-0
2021-10-25vs Bernstein/Linderman/FlaytonLost 03
L#1 DoublesLorna Bian / Will Heidmann vs Robin Breuer / Warren Chan1-6, 4-6
L#2 DoublesEmily Moore / Markus Sandholm vs Lisa Bernstein / Brent Melcher7-6, 3-6, 0-1
L#3 DoublesSarah Sellers / Wilson Heredia vs Ileana Kutler / David Kutler0-6, 0-6
2021-10-20vs Kates/BhagwagarLost 02
L#1 DoublesMarkus Sandholm / Emily Moore vs Archie Alvarez / Anita Venkiteswaran3-6, 1-6
L#3 DoublesMike Latshaw / Lorna Bian vs Shien Lee / Jacquelyn Lipson3-6, 6-4, 1-0
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 Mixed
TeamWLInd. WInd. LSets lostGames lost
1Bernstein/Linderman/Flayton012261026266
2Sellers/Sloman012102556372
3Rosenberg012102657386

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 3 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.

3.93
Tony Ngo
usually #2 Doubles 100% · published
3.35
Mike Latshaw
usually #1 Doubles 50%, also #3 Doubles 38% · published
3.19
Kat Brown
usually #2 Doubles 75%, also #3 Doubles 25% · published 3.5
Elizabeth Sharp
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
Carolyn Kriz
published
Christina Sethi
published
Evan Siegal
usually #3 Doubles 100% · published
Family Jayanti
published
Leslie Chen
usually #1 Doubles 100% · published
Lorna Bian
usually #1 Doubles 50%, also #3 Doubles 25% · published
Markus Sandholm
usually #2 Doubles 50%, also #1 Doubles 50% · published
Mika Takata
published
Sarah Sellers
published
Wilson Heredia
usually #2 Doubles 38%, also #3 Doubles 38% · 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.

Elizabeth Sharp + Mike Latshaw123 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.

Tony Ngo
58W–20L career · 1 line in 2022
<1%71%29%
3.93
Mike Latshaw
15W–49L career · 8 lines in 2022
<1%86%13%
3.35
3.5
Kat Brown
102W–136L career · 4 lines in 2022
7%92%1%
3.19
3
Elizabeth Sharp
28W–18L career · 3 lines in 2022
not enough data
Carolyn Kriz
0W–4L career · no lines in 2022
not enough data
Christina Sethi
2W–4L career · no lines in 2022
not enough data
Evan Siegal
2W–3L career · 3 lines in 2022
not enough data
Family Jayanti
9W–0L career · no lines in 2022
not enough data
Leslie Chen
25W–6L career · 1 line in 2022
not enough data
Lorna Bian
4W–31L career · 8 lines in 2022
not enough data
Markus Sandholm
19W–9L career · 2 lines in 2022
not enough data
Mika Takata
3W–3L career · no lines in 2022
not enough data
Sarah Sellers
0W–2L career · no lines in 2022
not enough data
Wilson Heredia
8W–17L career · 8 lines in 2022
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.