Teams

Hotpot-Summer-Coed-Feng

Coed Social League · 7.5

8 players · average NTRP 3.44 / NORTHWEST WASHINGTON

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Schedule2 played
2026-07-15vs Double Trouble-ZhuWon 31
W#1 Female DoublesAlexis Chen / Eileen Lu vs Shan Zhu / Lindsay Terpstra6-2
L#1 Female SinglesAlexis Chen vs Kelsey Duncombe-Smith1-6
W#1 Male DoublesXimeng Jia / Yao Yao vs Joe Chapin / Hugo Aponte6-4
W#1 Male SinglesXimeng Jia vs Joe Chapin6-5
2026-07-08vs Summertime-LiWon 31
W#1 Female DoublesAlexis Chen / Xiaoyi Ye vs Nicole Ballas / Lucy Levine6-3
L#1 Female SinglesJane Zhu vs Ruofei Shuang1-6
W#1 Male DoublesZhe Feng / Ximeng Jia vs Xi Chen / Jeremy Ong6-1
W#1 Male SinglesZhe Feng vs Jayden Choi6-4
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 7.5 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 3.34 estimated across 8 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.

3.53
Ximeng Jia
usually #1 Male Doubles 50%, also #1 Male Singles 50% · published 3.5
3.45
Jane Zhu
usually #1 Female Singles 100% · published 3.5
3.34
Yao Yao
usually #1 Male Doubles 100% · published 3.5
3.30
Zhe Feng
usually #1 Male Singles 100% · published 3.5
3.29
Eileen Lu
usually #1 Female Doubles 100% · published 3.5
3.29
Xiaoyi Ye
usually #1 Female Doubles 100% · published 3.5
3.28
Alexis Chen
usually #1 Female Doubles 50%, also #1 Female Singles 50% · published 3.5
3.26
Linlin Yang
usually #1 Female Doubles 75%, also #1 Female Singles 25% · published 3
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.

Zhe Feng + Jane Zhu4352% games+5.5% vs expected
Zhe Feng + Ximeng Jia404 matchesnot enough data
Xiaoyi Ye + Linlin Yang224 matchesnot enough data
Xiaoyi Ye + Ximeng Jia213 matchesnot enough data
Alexis Chen + Jane Zhu123 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
Ximeng Jia
54W–21L career · 2 lines in 2026
<1%41%59%
3.53
3.5
Jane Zhu
27W–20L career · 1 line in 2026
<1%64%36%
3.45
3.5
Yao Yao
24W–13L career · 1 line in 2026
1%86%13%
3.34
3.5
Zhe Feng
48W–34L career · 1 line in 2026
2%91%7%
3.30
3.5
Eileen Lu
63W–26L career · 1 line in 2026
2%92%6%
3.29
3.5
Xiaoyi Ye
100W–36L career · 6 lines in 2026
2%92%6%
3.29
3.5
Alexis Chen
50W–26L career · 2 lines in 2026
2%92%6%
3.28
3
Linlin Yang
37W–8L career · 4 lines in 2026
<1%3%97%
3.26

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.