Teams

It's All Good/Oetomo/CSUN

2026 Mixed 55+ SFV Fall · SFV 55 & Over - 8.0 MxD

15 players · average NTRP 3.83 / 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 →
Schedule7 upcoming · 1 played
Sep 20 2:00 PM
The Paseo Club
Sep 27 1:00 PM
Northridge Racquet Sports California State University
Oct 4 11:00 AM
Northridge Racquet Sports California State University
Oct 11 2:00 PM
The Paseo Club
Oct 25 11:00 AM
Northridge Racquet Sports California State University
Nov 1 11:00 AM
Northridge Racquet Sports California State University
Nov 15 12:30 PM
Calabasas Tennis and Swim Center
2026-08-30vs Just for Fun/Carlsen/CalabasasWon 20
W#1 DoublesStefanie Wah / Shane Duffy vs Miri Mizrahi / Shimon Nofar6-4, 7-6
W#2 DoublesMichelle Tong Luo / Hua Li vs Soraya Hostetter / Jeff Richards6-1, 7-5
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 standings3 teams · SFV 55 & Over - 8.0 MxD
TeamWLInd. WInd. LSets lostGames lost
1Just for Fun/Carlsen/Calabasas000000
2It's All Good/Oetomo/CSUN000000
3Paseo United/Zeltser-Smith/Paseo000000

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.62 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.

4.12
Michelle Tong Luo
usually #2 Doubles 100% · published
4.04
Brenda Palanca
published 4.5
3.94
Lily Wu
published
3.69
Mia de Leon
published
3.67
Jill Gann
published 4
3.67
Steve Oetomo
published
3.57
Sharon Li
published
3.52
Lisa Kapur
published 3.5
3.46
Bernie Villadiego
published 3.5
3.41
Mary Kayne
published
3.40
Stefanie Wah
usually #1 Doubles 100% · published 3.5
3.38
Bradley Johnson
published 4
3.23
X Dennis Tang
published
Hua Li
usually #2 Doubles 100% · published
Lori Pedraza
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.

Michelle Tong Luo
13W–9L career · 1 line in 2026
19%81%<1%
4.12
4.5
Brenda Palanca
1W–2L career · type S · no lines in 2026
38%62%<1%
4.04
Lily Wu
3W–7L career · no lines in 2026
68%32%<1%
3.94
Mia de Leon
19W–22L career · no lines in 2026
8%90%1%
3.69
4
Jill Gann
29W–60L career · no lines in 2026
11%88%1%
3.67
Steve Oetomo
9W–3L career · no lines in 2026
11%88%1%
3.67
Sharon Li
13W–10L career · no lines in 2026
30%70%<1%
3.57
3.5
Lisa Kapur
142W–64L career · no lines in 2026
<1%44%56%
3.52
3.5
Bernie Villadiego
6W–6L career · no lines in 2026
<1%60%40%
3.46
Mary Kayne
1W–7L career · no lines in 2026
75%25%<1%
3.41
3.5
Stefanie Wah
149W–129L career · 1 line in 2026
<1%77%23%
3.40
4
Bradley Johnson
3W–3L career · no lines in 2026
81%19%<1%
3.38
X Dennis Tang
9W–7L career · no lines in 2026
5%92%3%
3.23
Hua Li
1W–0L career · 1 line in 2026
not enough data
Lori Pedraza
2W–0L career · no lines in 2026
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.