Teams

High Five - Qin

2025 NWW Winter Singles Flex (Counts towards YER) · 3.0 Women

1 player · average NTRP 2.50 / 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 →
Schedule5 played
2025-05-23vs RoastLost 01
L#1 SinglesLi Qin vs Julia Roast3-6, 2-6
2025-05-18vs StrohLost 01
L#1 SinglesLi Qin vs Jan Stroh5-7, 2-5
2025-04-06vs TateLost 01
L#1 SinglesLi Qin vs Cassandra Tate2-6, 3-6
2025-03-16vs SeatownLost 01
L#1 SinglesLi Qin vs Nicole Carrido3-6, 1-6
2025-03-13vs Bibireata 3Won 10
W#1 SinglesLi Qin vs Alina Bibireata7-6, 4-2
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 standings81 teams · 3.0 Women
TeamWLInd. WInd. LSets lostGames lost
1Mancini5050023
2Suman5050023
3Kate Bayley5050026
4Misiewicz (FLEXIBLE)5050011
5Bethune505009
6Hjones5050127
7Seatown5050124
8Brandt5050128
9ACHM5050125
10Escape Artist (FLEXIBLE)5050134
11Johansen4040136
12topur (FLEXIBLE)4141125
13Elsing4141227
14TennisFun4141231
15Jacobson4141333
16ifoster4141328
17J. Chen (FLEXIBLE)4141331
18Gerard (FLEXIBLE)4141332
19Clay4141442
20Baseline Warrior4141439
21Nguyen Nguyen Situation4141438
22Lai4141539
23Gegi Ward3131130
24Willgerodt3131327
25McMonigal Winter/Spring3131437
26Wallach 3.03232337
27Elly-E33232333
28Peterson3232440
29Baughman3232441
30Alana Holmquist3232546
31Nusha 3.03232548
32Sadro (FLEXIBLE)3232536
33McCullough3232650
34PS 3.03333644
35RW - Adams3333641
36Borgonia (Can be flexible if needed)3333752
37MCretu32020014
38CARR (FLEXIBLE)2121220
39Yoshioka2121220
40Stroh2222439
41Storelli2222544
42Bai2222534
43Winter-Saelzer2222538
44Walker2323536
45NanM2323540
46SMargoles2323548
47Lau Flex2323546
48CVD2323550
49SY2323641
50TennisLove2323639
51Coomer2323641
52Bouj2323744
53ASwift101003
54Heydt1212532
55Paynter1313439
56LBrennan1313539
57Bauer1313644
58RW1414651
59mazor (FLEXIBLE)1414754
60Vikstrom1414748
61Reguera1414745
62Naffziger1414752
63Blume1414850
64SliceGirl1414851
65Borner1414857
66Barrios1414857
67Zimmer - Winter Flex 25 (FLEXIBLE)1414856
68High Five - Qin1414856
69E Runde (FLEXIBLE)1414849
70A Rolling Ross1414956
71Beaudry (FLEXIBLE)15151165
72Bibireata 30303532
73Drake, S 3.0 (FLEXIBLE)0303637
74Mama Waite0404745
75Guyumdzhyan0404848
76JSu0505854
77Soligon0505853
78Ma05051055
79Peiyuan Hu05051058
80Zubiria05051057
81Stephanie Tetrick05051055

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 2.36 estimated across 1 rated player. 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.

2.36
Li Qin
usually #1 Singles 100% · published 2.5
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.

2.5
Li Qin
41W–104L career · 5 lines in 2025
0%85%15%
2.36

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.