Teams

SGV All the Singles Ladies-Chow-WN/SA8

2022 Team Singles · SGV - Women 4.0

11 players · average NTRP 3.94 / SO.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 →

Flight standings for SGV - Women 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 3.64 estimated across 11 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.

4.14
Chloe Kishel
published 4.5
3.99
Deann McCormick
usually #2 Singles 33%, also #3 Singles 33% · published 4.5
3.98
Angelica Ramos
usually #1 Singles 67%, also #3 Singles 33% · published 4
3.98
Ames Blas
published 4
3.97
Dana Boyan
usually #1 Singles 100% · published 4
3.61
Serena Tseng
usually #2 Singles 67%, also #3 Singles 33% · published 4
3.44
Karen Obst
published
3.44
Viviana Kim
usually #3 Singles 50%, also #1 Singles 50% · published
3.43
Gladys Tan
published 3.5
3.43
Mary Chau
published
2.63
Josephine Chow
usually #3 Singles 100% · 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.

Josephine Chow + Angelica Ramos224 matchesnot enough data
Viviana Kim + Angelica Ramos213 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.

4.5
Chloe Kishel
8W–10L career · no lines in 2022
13%86%<1%
4.14
4.5
Deann McCormick
102W–101L career · 3 lines in 2022
53%47%<1%
3.99
4
Angelica Ramos
103W–56L career · 3 lines in 2022
<1%56%44%
3.98
4
Ames Blas
14W–6L career · no lines in 2022
<1%56%44%
3.98
4
Dana Boyan
177W–81L career · 1 line in 2022
<1%59%41%
3.97
4
Serena Tseng
54W–35L career · 3 lines in 2022
20%80%<1%
3.61
Karen Obst
0W–5L career · no lines in 2022
67%33%<1%
3.44
Viviana Kim
82W–134L career · 2 lines in 2022
69%31%<1%
3.44
3.5
Gladys Tan
3W–9L career · no lines in 2022
<1%70%30%
3.43
Mary Chau
11W–8L career · no lines in 2022
<1%71%29%
3.43
3
Josephine Chow
145W–300L career · 3 lines in 2022
15%84%<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.