Teams

Nassau Smash Divas

Combo · Fun Sunday Combo League

19 players · average NTRP 3.11 / NEW JERSEY

View scouting list →
Schedule12 played
2026-06-07vs Nassau Honey DuecesWon 10
W#1 DoublesChristina Bohn / Monica Rivera vs Katie Grennan / Maggie O'kane6-1, 6-4
2026-05-17vs Nassau Honey DuecesLost 12
L#1 DoublesNelly Shimarova / Anne Sterner vs Katie Grennan / Maggie O'kane2-6, 4-6
W#2 DoublesDivya Enika / Christina Bohn vs Michele Egan / Esther Tanez6-1, 6-0
L#3 DoublesEmilia Liu / Hsiaoli Ma vs Mary Hammell / Melanie Schwartz4-6, 5-7
2026-05-03vs Nassau Honey DuecesSplit 11
W#1 DoublesChristina Bohn / Anne Sterner vs Millie Chandler / Mia Cote6-4, 7-6
L#3 DoublesElnaz Jokar / Alexandra Lazorchak vs Michele Egan / Mary Hammell2-6, 4-6
2026-04-26vs Nassau Honey DuecesLost 01
L#3 DoublesEmilia Liu / Wei Liu vs Mary Hammell / Melanie Schwartz6-7, 3-6
2026-04-19vs Nassau Honey DuecesSplit 11
L#1 DoublesSassy Martinez / Jamie Luo vs Millie Chandler / Rowan Watson5-7, 2-6
W#3 DoublesWei Liu / Yunhee Shim vs Kaylie Keesling / Mary Hammell0-6, 7-6, 1-0
2026-04-12vs Nassau Honey DuecesWon 20
W#1 DoublesChristina Bohn / Monica Rivera vs Mia Cote / Rowan Watson6-4, 6-7, 1-0
W#2 DoublesStacey Medeiros / Sassy Martinez vs Millie Chandler / Farnaz Soltani6-2, 6-2
2026-03-22vs Nassau Honey DuecesLost 01
L#2 DoublesElnaz Jokar / Wei Liu vs Katie Grennan / Maggie O'kane0-6, 0-6
2026-03-15vs Nassau Honey DuecesLost 02
L#1 DoublesHsiaoli Ma / Sassy Martinez vs Millie Chandler / Katie Grennan2-6, 1-6
L#3 DoublesAlexandra Lazorchak / Sparsha Kukunoor vs Stephanie Lebowitz / Michele Egan6-3, 1-6, 0-1
2026-03-01vs Nassau Honey DuecesLost 01
L#1 DoublesStacey Medeiros / Qian Eschbach vs Katie Grennan / Maggie O'kane2-6, 3-6
2026-02-15vs Nassau Honey DuecesWon 21
W#1 DoublesMonica Rivera / Stacey Medeiros vs Mia Cote / Jess Vamvas6-4, 6-2
L#2 DoublesYunhee Shim / Alexandra Lazorchak vs Nancy Schiavone-Schulman / Elizabeth Yezza7-5, 4-6, 0-1
W#3 DoublesWei Liu / Emilia Liu vs Melanie Schwartz / Kaylie Keesling6-0, 6-3
2026-02-08vs Nassau Honey DuecesWon 10
W#3 DoublesWei Liu / Elnaz Jokar vs Kaylie Keesling / Mary Hammell6-4, 6-2
2026-02-01vs Nassau Honey DuecesWon 10
W#1 DoublesAnne Sterner / Qian Eschbach vs Mia Cote / Rowan Watson6-4, 2-6, 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 standings2 teams · Fun Sunday Combo League
TeamWLInd. WInd. LSets lostGames lost
1Nassau Smash Divas86261638335
2Nassau Honey Dueces68162655397

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 2.90 estimated across 19 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.

3.58
Jamie Luo
usually #1 Doubles 100% · published 3.5
3.30
Christina Bohn
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
3.19
Stacey Medeiros
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.16
Monica Rivera
usually #1 Doubles 100% · published
3.02
Hannah Hironaka
usually #1 Doubles 40%, also #3 Doubles 40% · published 3
3.01
Anne Sterner
usually #1 Doubles 100% · published 3.5
2.96
Nelly Shimarova
usually #1 Doubles 71%, also #2 Doubles 29% · published 3
2.95
Qian Eschbach
usually #1 Doubles 60%, also #3 Doubles 20% · published
2.90
Sassy Martinez
usually #1 Doubles 55%, also #2 Doubles 27% · published 3
2.86
Karolina Li
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.83
Divya Enika
usually #2 Doubles 57%, also #1 Doubles 29% · published 3
2.81
Dasom Kim
usually #2 Doubles 60%, also #1 Doubles 30% · published 3
2.80
Hsiaoli Ma
usually #1 Doubles 50%, also #3 Doubles 50% · published 3
2.76
Emilia Liu
usually #3 Doubles 78%, also #4 Doubles 22% · published 3
2.70
Yunhee Shim
usually #2 Doubles 50%, also #3 Doubles 30% · published
2.60
Alexandra Lazorchak
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
2.58
Wei Liu
usually #3 Doubles 80%, also #2 Doubles 20% · published
2.54
Elnaz Jokar
usually #3 Doubles 57%, also #2 Doubles 29% · published 2.5
2.54
Sparsha Kukunoor
usually #3 Doubles 71%, also #2 Doubles 29% · 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.

Divya Enika + Dasom Kim4175% games+15.2% vs expected
Stacey Medeiros + Monica Rivera191449% games+3.4% vs expected
Monica Rivera + Christina Bohn4551% games−0.7% vs expected
Dasom Kim + Yunhee Shim4352% games−5.9% vs expected
Stacey Medeiros + Christina Bohn2343% games−6.7% vs expected
Qian Eschbach + Karolina Li044 matchesnot enough data
Qian Eschbach + Hannah Hironaka314 matchesnot enough data
Wei Liu + Emilia Liu134 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.

3.5
Jamie Luo
66W–42L career · 1 line in 2026
<1%26%74%
3.58
3.5
Christina Bohn
188W–147L career · 4 lines in 2026
1%93%6%
3.30
3.5
Stacey Medeiros
134W–104L career · 3 lines in 2026
7%92%1%
3.19
Monica Rivera
103W–75L career · 3 lines in 2026
11%89%<1%
3.16
3
Hannah Hironaka
18W–4L career · 5 lines in 2026
<1%43%57%
3.02
3.5
Anne Sterner
10W–5L career · 3 lines in 2026
46%54%<1%
3.01
3
Nelly Shimarova
125W–118L career · type A · 7 lines in 2026
<1%63%37%
2.96
Qian Eschbach
66W–45L career · 10 lines in 2026
<1%65%35%
2.95
3
Sassy Martinez
79W–40L career · 11 lines in 2026
<1%77%23%
2.90
3
Karolina Li
76W–54L career · 8 lines in 2026
<1%86%14%
2.86
3
Divya Enika
30W–20L career · 7 lines in 2026
<1%89%10%
2.83
3
Dasom Kim
15W–10L career · 10 lines in 2026
1%92%7%
2.81
3
Hsiaoli Ma
58W–77L career · 2 lines in 2026
1%93%6%
2.80
3
Emilia Liu
13W–6L career · 9 lines in 2026
2%94%3%
2.76
Yunhee Shim
18W–7L career · 10 lines in 2026
6%93%1%
2.70
3
Alexandra Lazorchak
8W–25L career · 3 lines in 2026
23%77%<1%
2.60
Wei Liu
31W–39L career · 5 lines in 2026
0%27%73%
2.58
2.5
Elnaz Jokar
23W–16L career · 7 lines in 2026
0%36%64%
2.54
Sparsha Kukunoor
12W–6L career · 7 lines in 2026
0%37%63%
2.54

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.