Teams

TOC.Li

2026 CTRL Combo Doubles 40 & Over · Combo 40 & Over 7.5 Women

7 players · average NTRP 3.83 / NORTH CAROLINA

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
2026-08-22vs TOC.ConzolaWon 30
W#1 DoublesLusia Li / Laurie Knutte vs Lisa Kempf / Theresa Stone6-0, 6-3
W#2 DoublesLijun Chen / Shirley Kim vs Emily Johnson / Nicole Peterson6-2, 6-2
W#3 DoublesLi G / Emily Yang vs Sandra Chapman-Wilson / Laurie Reiss6-3, 6-1
2026-08-16vs TOC.CuccaroWon 21
L#1 DoublesYu Wang / Laurie Knutte vs Sarah Ganong / Connie Kim5-7, 3-6
W#2 DoublesLijun Chen / Nan Hu vs Meghan Howard / Helen Cuccaro6-1, 5-7, 1-0
W#3 DoublesLi G / Qiongrong Nie vs Jane Williams / Olga Tiselsky6-2, 7-5
2026-08-09vs ACP.NorrisLost 02
L#1 DoublesNan Hu / Qiongrong Nie vs Kelly Johnson / Mary Jo Dunnington4-6, 6-4, 0-1
L#2 DoublesEmily Yang / Lijun Chen vs Katie Elder / Lisa Montague1-6, 6-4, 0-1
2026-08-02vs ACP.RiderLost 03
L#1 DoublesQiongrong Nie / Lusia Li vs Lisa Buyaki / Terry Perrone6-7, 4-6
L#2 DoublesShirley Kim / Emily Yang vs Emily Childs / Abigail Holden4-6, 4-6
L#3 DoublesLijun Chen / Nan Hu vs Rebekah Schloemann / Kimberly Hilt5-7, 5-7
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 Combo 40 & Over 7.5 Women 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 3.50 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.

3.91
Laurie Knutte
usually #1 Doubles 100% · published 4
3.61
Qiongrong Nie
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
3.48
Lusia Li
usually #1 Doubles 100% · published 3.5
3.44
Lijun Chen
usually #2 Doubles 75%, also #3 Doubles 25% · published
3.42
Nan Hu
usually #2 Doubles 33%, also #1 Doubles 33% · published
3.34
Li G
usually #3 Doubles 100% · published
3.31
Emily Yang
usually #2 Doubles 67%, also #3 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.

Emily Yang + Lusia Li5170% games+15.0% vs expected
Emily Yang + Nan Hu213 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
Laurie Knutte
255W–121L career · 2 lines in 2026
<1%74%26%
3.91
4
Qiongrong Nie
90W–30L career · 3 lines in 2026
21%79%<1%
3.61
3.5
Lusia Li
65W–54L career · 2 lines in 2026
<1%57%43%
3.48
Lijun Chen
22W–3L career · 4 lines in 2026
<1%66%34%
3.44
Nan Hu
6W–5L career · 3 lines in 2026
<1%72%28%
3.42
Li G
3W–1L career · 2 lines in 2026
1%86%13%
3.34
Emily Yang
14W–10L career · 3 lines in 2026
1%90%9%
3.31

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.