Teams

OC iTennis LaHabra - JJL

2024 OC Tri-Level Mixed · WE 4.0 - 3.5 - 3.0

14 players · average NTRP 3.00 / SO.CALIFORNIA

View scouting list →
Schedule8 played
2024-10-19Lost 01
L#2 DoublesPatrick Chu / Junko Noguchi vs Nam Kim / Georgia de Los Santos0-6, 3-6
L#3 DoublesOmar AKhtar / Lisa Davila vs Debra Gilson / KAZI ISLAM0-6, 2-6
L#3 DoublesSergio Davila / Lisa Davila vs Frank Ye / Lea Lu1-6, 1-6
2024-09-28vs OC LPC - Konnie - Sat3Won 10
W#3 DoublesPatrick Chu / Junko Noguchi vs Richard Sparno / Chau Phan6-4, 6-3
2024-08-31vs OC Fullerton TC - JoelLost 01
L#3 DoublesPatrick Chu / Lisa Davila vs Tyler Leong / Angela Leung6-3, 2-6, 0-1
2024-08-10vs OC LPC - Konnie - Sat3Lost 01
L#3 DoublesDan Alvarez / Junko Noguchi vs Ron Lopes / Susan Tan6-2, 6-7, 0-1
2024-08-04Lost 01
L#3 DoublesSergio Davila / Lisa Davila vs Jim Guerra / Laura McCormick1-6, 1-6
L#2 DoublesOmar AKhtar / Junko Noguchi vs Jermaine Waltemeyer / AIRI IVES2-6, 1-6
L#3 DoublesSergio Davila / Lisa Davila vs Ryan Ona / Maribeth F Rodriguez1-6, 6-2, 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 WE 4.0 - 3.5 - 3.0 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 3.08 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.

3.75
Miriam Morales
published
3.63
Michelle Sinclair
published
3.16
Omar AKhtar
published
3.05
Junko Noguchi
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
3.01
Patrick Chu
published
2.98
Dan Alvarez
published 3
2.98
Kimberly Madamba
published
2.91
Erin Yoo
published
2.88
Sandi Goldstein
published
2.87
Lisa Davila
usually #3 Doubles 100% · published 3
2.71
Sergio Davila
published
Jinny Sohn
published
Leonard Loventhal
published
Olivia Benson
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.

Miriam Morales
8W–3L career · no lines in 2024
4%93%4%
3.75
Michelle Sinclair
13W–14L career · no lines in 2024
<1%<1%>99%
3.63
Omar AKhtar
0W–5L career · no lines in 2024
12%87%1%
3.16
3
Junko Noguchi
72W–47L career · 4 lines in 2024
<1%36%64%
3.05
Patrick Chu
17W–10L career · no lines in 2024
<1%46%54%
3.01
3
Dan Alvarez
29W–15L career · no lines in 2024
<1%55%45%
2.98
Kimberly Madamba
24W–17L career · no lines in 2024
<1%56%44%
2.98
Erin Yoo
4W–2L career · no lines in 2024
<1%75%25%
2.91
Sandi Goldstein
1W–5L career · no lines in 2024
80%20%<1%
2.88
3
Lisa Davila
30W–25L career · 5 lines in 2024
<1%83%17%
2.87
Sergio Davila
12W–15L career · no lines in 2024
7%91%2%
2.71
Jinny Sohn
1W–6L career · no lines in 2024
not enough data
Leonard Loventhal
5W–22L career · no lines in 2024
not enough data
Olivia Benson
0W–2L career · no lines in 2024
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.