Teams

CUESTA TC CW5.5B

2025 COMBO · Women 5.5

10 players · average NTRP 3.00 / 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 →
Schedule3 played
2025-10-21vs LADERA OAKS CW5.5ALost 12
L#1 DoublesAlexandra Jiang / Dipti Kumar vs Mary Sheila McMahon / Lisa Mccaffrey6-4, 5-7, 0-1
W#2 DoublesMelissa Araza / Sinyi Huang vs Kelly Walker / Marta Solsona6-2, 6-4
L#3 DoublesMin Yang / Xiaoli Shang vs Whitney Tabaie / Karen Tallackson Bacon5-7, 4-6
2025-10-11vs LADERA OAKS CW5.5ALost 12
W#1 DoublesAi-Fen Shieu / Angela Huang vs Angie Holman / Dolores Bernardo6-3, 6-3
L#2 DoublesXiaoli Shang / Jessica Han vs Mary Sheila McMahon / Erika Evans6-7, 1-6
L#3 DoublesJinyu Wu / Dipti Kumar vs Andrea Finlay / Shab Nemati4-6, 2-6
2025-09-29vs LADERA OAKS CW5.5ALost 02
L#1 DoublesMelissa Araza / Minjung Shin vs Caroline Bowers / Lisa Mccaffrey6-7, 4-6
L#2 DoublesMin Yang / Xiaoli Shang vs Angie Holman / Juliana Costello6-4, 5-7, 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 standings for Women 5.5 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 2.68 estimated across 6 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.

2.86
Ai-Fen Shieu
usually #2 Doubles 50%, also #1 Doubles 50% · published 3
2.76
Alexandra Jiang
usually #3 Doubles 50%, also #1 Doubles 25% · published 3
2.72
Melissa Araza
usually #3 Doubles 40%, also #2 Doubles 40% · published
2.60
Min Yang
usually #3 Doubles 50%, also #2 Doubles 50% · published
2.58
Xiaoli Shang
usually #2 Doubles 67%, also #3 Doubles 33% · published
2.56
Minjung Shin
usually #1 Doubles 100% · published
Dipti Kumar
usually #1 Doubles 50%, also #3 Doubles 50% · published
Jessica Han
usually #2 Doubles 100% · published
Jinyu Wu
usually #3 Doubles 100% · published
Sinyi Huang
usually #2 Doubles 100% · 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.

Min Yang + Xiaoli Shang044 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.

3
Ai-Fen Shieu
9W–12L career · 2 lines in 2025
<1%83%16%
2.86
3
Alexandra Jiang
4W–10L career · 4 lines in 2025
3%93%4%
2.76
Melissa Araza
9W–13L career · 5 lines in 2025
6%92%2%
2.72
Min Yang
1W–9L career · 2 lines in 2025
24%76%<1%
2.60
Xiaoli Shang
1W–8L career · 3 lines in 2025
28%72%<1%
2.58
Minjung Shin
1W–4L career · 1 line in 2025
34%66%<1%
2.56
Dipti Kumar
0W–2L career · 2 lines in 2025
not enough data
Jessica Han
0W–1L career · 1 line in 2025
not enough data
Jinyu Wu
0W–1L career · 1 line in 2025
not enough data
Sinyi Huang
1W–0L career · 1 line in 2025
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.