Teams

OC LPC - Annie

2022 SCTA Tri-Level 18 & Over - OC · OC Women - 3.5 - 4.0 - 4.5 Weekend

14 players · average NTRP 4.56 / 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 →
Schedule3 played
2022-10-29Won 10
W#1 DoublesKirtine Yang / Jinna Johnson vs N/A6-0, 6-0
2022-09-25vs OC RCI - DeannaWon 10
W#1 DoublesTRAM LY / Kirtine Yang vs Thanh Lopez / Wenli Chen6-1, 4-6, 1-0
2022-08-28vs OC El Dorado - Brink/CasaresLost 01
L#1 DoublesKirtine Yang / Christina Catipay vs Lea Inouye / Roselle Paskus3-6, 1-6
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 OC Women - 3.5 - 4.0 - 4.5 Weekend 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 4.15 estimated across 13 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.

4.53
Kristina Ebon
published 5
4.46
Jinna Johnson
published
4.44
Kristen Hoppe
published
4.37
TRAM LY
usually #1 Doubles 56%, also #2 Doubles 44% · published 5
4.20
Ly Diem Nguyen Kursits
usually #2 Doubles 50%, also #3 Doubles 50% · published 4.5
4.18
Demi Dang
published 4.5
4.14
Chloe Kishel
published 4.5
4.14
Kim O'Neil
published
4.11
Kirtine Yang
usually #1 Doubles 100% · published 4.5
4.07
Christina Catipay
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
4.07
Michelle Hay
published
3.69
Gia Bao Le
published 4
3.57
Jazmin Rubio
published
Kim Ngo
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.

Christina Catipay + Ly Diem Nguyen Kursits5452% games−11.8% vs expected
Christina Catipay + TRAM LY7163% gamesnot enough data
Kristina Ebon + TRAM LY7165% gamesnot enough data
Christina Catipay + Kirtine Yang1438% gamesnot enough data
Kirtine Yang + Ly Diem Nguyen Kursits213 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.

5
Kristina Ebon
133W–42L career · no lines in 2022
41%59%<1%
4.53
Jinna Johnson
0W–6L career · no lines in 2022
61%39%<1%
4.46
Kristen Hoppe
2W–4L career · no lines in 2022
67%33%<1%
4.44
5
TRAM LY
139W–109L career · 9 lines in 2022
84%16%<1%
4.37
4.5
Ly Diem Nguyen Kursits
84W–76L career · 8 lines in 2022
6%93%1%
4.20
4.5
Demi Dang
1W–3L career · no lines in 2022
8%91%1%
4.18
4.5
Chloe Kishel
8W–10L career · no lines in 2022
13%86%<1%
4.14
Kim O'Neil
2W–4L career · no lines in 2022
15%85%<1%
4.14
4.5
Kirtine Yang
71W–51L career · 3 lines in 2022
19%81%<1%
4.11
4.5
Christina Catipay
136W–105L career · 6 lines in 2022
29%71%<1%
4.07
Michelle Hay
2W–7L career · no lines in 2022
29%71%<1%
4.07
4
Gia Bao Le
15W–15L career · no lines in 2022
8%91%1%
3.69
Jazmin Rubio
0W–7L career · no lines in 2022
30%70%<1%
3.57
Kim Ngo
8W–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.