Teams

RICHMOND TA/NICHOLL PK 18AW4.0A

2022 ADULT 18&Over · Women's 4.0

17 players · average NTRP 3.89 / NO. CALIFORNIA

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 →
Schedule2 played
2022-05-29vs CLAREMONT R and S 18AW4.0ALost 01
L#2 DoublesZuhal Elhan / Val Swan vs Anita Kressner / Karen Spinardi1-6, 2-6
2022-04-24Won 10
W#3 DoublesAndra Kavuma / Zuhal Elhan vs Aiwah Chang / Lisa Wu6-3, 2-6, 1-0
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 Women's 4.0 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 3.66 estimated across 16 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.

4.44
Noa Ramo-Larios
published
3.95
Marina Wills
published
3.91
Caitlin Finnell
published 4.5
3.86
Zuhal Elhan
usually #2 Doubles 63%, also #3 Doubles 25% · published
3.86
Flor Salinas
published 4
3.76
Andra Kavuma
published 4
3.68
3.68
Alison Ferrer
published 4
3.65
Megan AbramsonWard
published
3.59
Val Swan
published
3.58
Melissa Heng Steele
published
3.43
Gina Chen
published 4
3.40
Alicia Chung
published 3.5
3.36
Valerie Wong
published
3.29
Angie Koontz
published 3.5
3.14
Dawn Nakashima
published 3.5
Connor Carreras
published
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.

Noa Ramo-Larios
17W–13L career · no lines in 2022
69%31%<1%
4.44
Marina Wills
9W–15L career · no lines in 2022
65%35%<1%
3.95
4.5
Caitlin Finnell
1W–12L career · no lines in 2022
76%24%<1%
3.91
Zuhal Elhan
74W–38L career · 8 lines in 2022
<1%85%14%
3.86
4
Flor Salinas
10W–11L career · no lines in 2022
<1%86%14%
3.86
4
Andra Kavuma
8W–9L career · no lines in 2022
2%94%3%
3.76
4
Christy Yuk Ling LI
13W–24L career · type A · no lines in 2022
8%91%1%
3.68
4
Alison Ferrer
3W–4L career · no lines in 2022
8%91%1%
3.68
Megan AbramsonWard
1W–2L career · no lines in 2022
13%86%<1%
3.65
Val Swan
8W–10L career · no lines in 2022
25%75%<1%
3.59
Melissa Heng Steele
2W–2L career · no lines in 2022
26%74%<1%
3.58
4
Gina Chen
27W–19L career · no lines in 2022
69%31%<1%
3.43
3.5
Alicia Chung
14W–13L career · no lines in 2022
<1%78%22%
3.40
Valerie Wong
5W–3L career · no lines in 2022
<1%85%14%
3.36
3.5
Angie Koontz
8W–9L career · no lines in 2022
1%93%6%
3.29
3.5
Dawn Nakashima
5W–10L career · no lines in 2022
15%85%<1%
3.14
Connor Carreras
0W–1L career · no lines in 2022
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.