Teams

SoCal/Wang/Mixed55&Over7.0

2023 Mixed Doubles - 55 & Over - San Gabriel Valley · SGV - 7.0 Mixed

14 players · average NTRP 3.58 / SO.CALIFORNIA

View scouting list →
Schedule4 played
2023-09-10Won 10
W#3 DoublesZhan Yan / Sandra Zane vs N/A6-0, 6-0
W#1 DoublesPeter Yen / Pam Barbato vs John Rodriguez / Laura Stover6-1, 6-4
W#3 DoublesJustin Lee / Ennie Gonzaga vs N/A6-0, 6-0
W#3 DoublesPam Barbato / Peter Yen vs Laura Stover / P Ronald Tazza6-1, 6-1
W#2 DoublesEnnie Gonzaga / Zhan Yan vs Paul Honda / Marie Honda6-1, 6-1
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 SGV - 7.0 Mixed 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 3.34 estimated across 9 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.

3.60
Khin Aye
published
3.59
Ennie Gonzaga
usually #3 Doubles 50%, also #1 Doubles 38% · published 4
3.50
Hong Ye
published 3.5
3.45
Justin Lee
published
3.34
AARON H. CHEN
published 3.5
3.31
Pam Barbato
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.28
Peter Yen
published
3.04
Sandra Zane
usually #3 Doubles 100% · published 3.5
2.97
En En Liao
published 3.5
Jeff Kamens
published
Katsuo Togawa
published
Ronalyn Raymundo
published
Xi Xu
published
Zhan Yan
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.

Khin Aye
10W–16L career · no lines in 2023
21%78%<1%
3.60
4
Ennie Gonzaga
112W–93L career · 8 lines in 2023
25%75%<1%
3.59
3.5
Hong Ye
19W–9L career · no lines in 2023
<1%52%48%
3.50
Justin Lee
13W–5L career · no lines in 2023
<1%66%34%
3.45
3.5
AARON H. CHEN
6W–2L career · no lines in 2023
<1%88%11%
3.34
3.5
Pam Barbato
100W–64L career · 2 lines in 2023
1%91%8%
3.31
Peter Yen
6W–20L career · no lines in 2023
95%5%<1%
3.28
3.5
Sandra Zane
146W–141L career · 1 line in 2023
38%62%<1%
3.04
3.5
En En Liao
1W–3L career · no lines in 2023
60%40%<1%
2.97
Jeff Kamens
1W–0L career · no lines in 2023
not enough data
Katsuo Togawa
4W–2L career · no lines in 2023
not enough data
Ronalyn Raymundo
0W–2L career · no lines in 2023
not enough data
Xi Xu
7W–3L career · no lines in 2023
not enough data
Zhan Yan
8W–0L career · no lines in 2023
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.