Teams

Wang

2025 NWW Summer · Fall Flex Singles (Counts Towards YER)

4 players · average NTRP 3.00 / NORTHWEST WASHINGTON

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 →
Schedule4 played
2025-10-17Won 10
W#1 SinglesJikun Wang vs Nishanth Ganesh6-1, 6-0
2025-09-10vs AuffantWon 10
W#1 SinglesJikun Wang vs Rob Auffant6-2, 6-4
2025-09-03vs JammiWon 10
W#1 SinglesJikun Wang vs Nagendra Jammi6-1, 6-0
2025-08-01vs DPLost 01
L#1 SinglesJikun Wang vs Dinesh Parimi6-2, 0-6, 0-1
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 standings55 teams · Fall Flex Singles (Counts Towards YER)
TeamWLInd. WInd. LSets lostGames lost
1Gentry FLEXIBLE6060129
2Pinnaduwage5050121
3JLee Summer5050118
4McAllen5151247
5Porter5151337
6Springtime4040128
7LaiSummer25-3.54040122
8The Bounce Club4141221
9sparkle3030222
10Wang3131225
11Fang3232435
12Davis-Flexible3232541
13Liu353333445
14SJohnson3333753
15Roast2020010
16MacDonald202009
17Hennessy2020114
18Misiewicz2020113
19Feder2121117
20McCullough Summer 3.52121228
21Davis - FLEXIBLE2121220
22NRK 3.5 social2222320
23Malanowski2222331
24Tenacious E2222433
25annie's team2222429
26avolk3.52222537
27Fretwell2323652
28Veeramachaneni2323843
29Mathews2424962
30Naden101007
31CFLangley101003
32Hoss (Flexible)1111215
33Elly-S351111219
34AnnaK (Flexible)1111322
35Rasmussen (social)1111324
36Kowalczyk1212425
37Kirkpatrick1212428
38Yin-Summer-Flex1212426
39Mullally1313744
40Karolina FlexSocial1414749
41SMar20251414754
42Miller1414852
43Angelika Nassar15151169
44LaMoria000000
45Thim (Prefers Daytime)010129
46Sadro 3.5 Flex Social0202424
47AlleyCat0202424
48Kryman0303632
49jf0303636
50Koralska0303636
51NanL0303633
52SIMMONS0404743
53NancyLFE0404846
54Tate05051060
55Okamura06061063

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 2.87 estimated across 4 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.

3.08
Jikun Wang
usually #1 Singles 100% · published
2.98
Zeran Wang
published 3
2.77
Jonathan Wang
published
2.63
Marie Wang
published 3
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.

Jikun Wang
17W–5L career · 4 lines in 2025
<1%26%74%
3.08
3
Zeran Wang
55W–40L career · no lines in 2025
<1%58%42%
2.98
Jonathan Wang
11W–26L career · no lines in 2025
2%94%4%
2.77
3
Marie Wang
6W–12L career · type S · no lines in 2025
15%85%<1%
2.63

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.