Teams

RTC-The Poaching Pandas-Hua/Ong

2026 Mixed 18 & Over · 7.0

13 players · average NTRP 3.60 / NORTHWEST WASHINGTON

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Schedule9 played
2025-11-23vs ETC-Weekend Warriors-EnglishWon 21
W#1 DoublesHenry Hua / Eva Lin vs Tomoe Tawara / Eliezer Cabrera Marin6-3, 6-4
W#2 DoublesNikhil Kagalwala / Samantha Hyres vs Laurie Wilkins / Petrus Wong5-7, 6-3
L#3 DoublesJeremy Ong / Guo Feng vs Ozzy English / Dustin Schmidt3-6, 6-4, 1-0
2025-11-09vs PSC-18+ Chen/PetriucWon 21
L#1 DoublesHenry Hua / Eva Lin vs Jiaxi Deng / Vijay Beniwal5-7, 0-6
W#2 DoublesKevin Xia / Edie Mei vs Merri Baldwin / Mihai Petriuc5-7, 6-3, 1-0
W#3 DoublesAndrew Shin / Carol Zhang vs Sanda Morea / Septimiu Morea6-0, 7-6
W#1 DoublesNikhil Kagalwala / Jessie Drakulich vs Mike Merwin / Karen Bell6-4, 6-4
L#2 DoublesGene Chu / Sarah Lu vs Erik Fraker / Keiko Aikawa2-6, 1-6
W#3 DoublesAndrew Shin / Carol Zhang vs Frederik Christo Leopold / Alice Bankson6-4, 7-5
2025-10-25vs HBSQ-GarfieldLost 12
W#1 DoublesEdie Mei / Henry Hua vs Erin Vikstrom / Rakesh Mallela6-2, 6-4
L#2 DoublesAndrew Shin / Guo Feng vs Don Robey / Carol Rea2-6, 5-7
L#3 DoublesSarah Lu / Gene Chu vs Steven Counter / Alina Stanciu3-6, 3-6
2025-10-17vs AYTC-Nothing but Net-PatelLost 03
L#1 DoublesKevin Xia / Edie Mei vs Vivek Devi / Katherine Markert3-6, 7-5, 0-1
L#2 DoublesAndrew Shin / Jessie Drakulich vs Jay Patel / Marina Sebright6-7, 3-6
L#3 DoublesGene Chu / Samantha Hyres vs Mohammad Ashrafuzzaman / Lauren Getty3-6, 4-6
2025-10-11vs AYTC-SBK-ParkLost 02
L#1 DoublesEdie Mei / Kevin Xia vs Elise Wong / Ryan Park4-6, 2-6
L#2 DoublesGene Chu / Samantha Hyres vs Youngji Kim / Nathan Stickler1-6, 3-6
2025-10-05vs WSC-Hotpot-FengLost 12
L#1 DoublesEva Lin / Kevin Xia vs Ximeng Jia / Cynthia Wang4-6, 1-6
W#2 DoublesJessie Drakulich / Nikhil Kagalwala vs Xiaoyi Ye / Ju Zhao1-6, 6-3, 1-0
L#3 DoublesCarol Zhang / Jeremy Ong vs Chulin Geng / Yao Yao3-6, 2-6
2025-09-27vs FC-Siu Meow-Chua/PowersLost 12
W#1 DoublesHenry Hua / Guo Feng vs Kevin Li / Riley Beirne6-3, 7-6
L#2 DoublesJeremy Ong / Carol Zhang vs Quentin Cheung / Kelsey Duncombe-Smith1-6, 1-6
L#3 DoublesNikhil Kagalwala / Jessie Drakulich vs Kevin Kang / Jilianne Legaspi2-6, 4-6
2025-09-21vs NWW-NTC-GardnerLost 12
L#1 DoublesJeremy Ong / Sarah Lu vs Michelle Yim / Tyler Gardner2-6, 2-6
W#2 DoublesHenry Hua / Eva Lin vs Kimberly Lambert / Joel Nethery7-5, 6-4
L#3 DoublesErvin Ham / Samantha Hyres vs Christine Elling / Nathan Taggart2-6, 3-6
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 7.0 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 3.30 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.

3.83
Jeremy Ong
usually #3 Doubles 50%, also #1 Doubles 25% · published 4
3.52
Samantha Hyres
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.43
Henry Hua
usually #1 Doubles 80%, also #2 Doubles 20% · published 4
3.29
Eva Lin
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
3.16
Jessie Drakulich
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
3.04
Edie Mei
usually #1 Doubles 75%, also #2 Doubles 25% · published
2.84
Carol Zhang
usually #3 Doubles 75%, also #2 Doubles 25% · published 3
Ervin Ham
usually #3 Doubles 100% · published
Gene Chu
usually #2 Doubles 50%, also #3 Doubles 50% · published
Guo Feng
usually #1 Doubles 33%, also #2 Doubles 33% · published
Kevin Xia
usually #1 Doubles 75%, also #2 Doubles 25% · published
Nikhil Kagalwala
usually #2 Doubles 50%, also #3 Doubles 25% · published
Sarah Lu
usually #2 Doubles 33%, also #1 Doubles 33% · 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.

Jessie Drakulich + Nikhil Kagalwala213 matchesnot enough data
Kevin Xia + Edie Mei123 matchesnot enough data
Henry Hua + Eva Lin213 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
Jeremy Ong
4W–10L career · type S · 4 lines in 2026
1%87%12%
3.83
Samantha Hyres
16W–23L career · 4 lines in 2026
<1%45%55%
3.52
4
Henry Hua
16W–18L career · 5 lines in 2026
68%32%<1%
3.43
3.5
Eva Lin
4W–15L career · type S · 4 lines in 2026
2%92%6%
3.29
3.5
Jessie Drakulich
23W–26L career · 4 lines in 2026
13%86%1%
3.16
Edie Mei
3W–5L career · 4 lines in 2026
39%61%<1%
3.04
3
Carol Zhang
2W–2L career · type S · 4 lines in 2026
1%87%13%
2.84
Ervin Ham
0W–1L career · 1 line in 2026
not enough data
Gene Chu
1W–5L career · 4 lines in 2026
not enough data
Guo Feng
1W–5L career · 3 lines in 2026
not enough data
Kevin Xia
1W–4L career · 4 lines in 2026
not enough data
Nikhil Kagalwala
5W–8L career · 4 lines in 2026
not enough data
Sarah Lu
0W–11L career · 3 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.