Teams

Flex Appeal-Opekunova

Coed Social League · 6.5

8 players · average NTRP 3.17 / NORTHWEST WASHINGTON

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Schedule3 played
2026-08-11vs Sun & Fun-MoraSplit 22
L#1 Female DoublesLauren Getty / Ting Zhang vs Teresa Cueto / Naomi Mora4-6
W#1 Female SinglesDaria Opekunova vs Teresa Cueto6-3
L#1 Male DoublesTommy Fang / Yaaseen Atchia vs Xin Cheng / Anish N2-6
W#2 Mixed DoublesYaaseen Atchia / Christa Lum vs Christopher Robertson / Naomi Mora6-4
2026-07-28vs NovaGigi-BrowerWon 20
W#1 Female DoublesLauren Getty / Christa Lum vs Telsin Brower / Susan Williams6-5
W#1 Male DoublesYaaseen Atchia / KAUSHAL MANGIPUDI vs Matthew Thomas Allen / Jason Page6-2
2026-07-14vs The Deuce Bags-TopacioWon 21
W#1 Female DoublesChrista Lum / Lauren Getty vs Andrea Topacio / Jane Song5-2
W#1 Male DoublesYaaseen Atchia / KAUSHAL MANGIPUDI vs Etzael Garcia / Phi Hoang6-3
L#2 Mixed DoublesLarry Jin / Ting Zhang vs Phi Hoang / Amanda Huynh3-6
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 standings for 6.5 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 2.97 estimated across 7 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.

3.21
Lauren Flewelling
published
3.20
Lauren Getty
usually #1 Female Doubles 100% · published 3.5
3.19
KAUSHAL MANGIPUDI
usually #1 Male Doubles 100% · published 3.5
2.98
Christa Lum
usually #1 Female Doubles 67%, also #2 Mixed Doubles 33% · published 3
2.92
Daria Opekunova
usually #1 Female Singles 100% · published 3
2.66
Yaaseen Atchia
usually #1 Male Doubles 100% · published 3
2.60
Ting Zhang
usually #2 Mixed Doubles 50%, also #1 Female Doubles 50% · published 3
Tommy Fang
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.

Christa Lum + Lauren Getty11658% games+3.4% vs expected
KAUSHAL MANGIPUDI + Yaaseen Atchia404 matchesnot enough data
Christa Lum + Yaaseen Atchia314 matchesnot enough data
Daria Opekunova + Yaaseen Atchia224 matchesnot enough data
Lauren Getty + Yaaseen Atchia314 matchesnot enough data
KAUSHAL MANGIPUDI + Lauren Getty213 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.

Lauren Flewelling
3W–1L career · no lines in 2026
<1%6%94%
3.21
3.5
Lauren Getty
50W–42L career · 3 lines in 2026
8%90%1%
3.20
3.5
KAUSHAL MANGIPUDI
53W–25L career · 2 lines in 2026
9%90%1%
3.19
3
Christa Lum
45W–40L career · 3 lines in 2026
<1%55%45%
2.98
3
Daria Opekunova
33W–32L career · 1 line in 2026
<1%71%29%
2.92
3
Yaaseen Atchia
27W–16L career · 3 lines in 2026
12%87%1%
2.66
3
Ting Zhang
16W–9L career · 2 lines in 2026
24%76%<1%
2.60
Tommy Fang
2W–2L career · no lines in 2026
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.