Teams

BAY TREES PK 18MX7.0A

2024 MIXED 18&Over · 18&Over MX7.0

16 players · average NTRP 3.70 / 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 →
Schedule5 played
L#3 DoublesConnie J Chang / Brian Le vs Ken Ong / Lihui Xie1-6, 2-6
2024-02-24vs BLACKHAWK CC 18MX7.0AWon 10
W#3 DoublesBrian Le / Jennifer Do vs Robert Greer / Rachelle Ricketts7-6, 6-3
2024-02-15Lost 01
L#3 DoublesJulie Lowe / Peter Lowe vs Diem Nguyen / Nimesh Gandhi3-6, 4-6
2024-02-12vs BLACKHAWK CC 18MX7.0AWon 10
W#1 DoublesConnie J Chang / Brian Le vs Sara Hughes / Ashok Ganesan6-0, 6-4
2024-01-07vs STONEBRAE CC 18MX7.0AWon 10
W#3 DoublesPeter Lowe / Julie Lowe vs Suresh Bhat / Jean Kondo3-6, 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 18&Over MX7.0 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 3.54 estimated across 14 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.

4.29
Caesar Ladion
published 4.5
3.95
Peter Lowe
published
3.89
Gabriel Chan
published
3.87
Marty Gee
published
3.80
Kevin Wong-Zelaya
published
3.74
Jennifer Do
published
3.54
Brian Le
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.35
Xin Yang
published
3.35
Adrianna Lugo
published 3.5
3.34
Ashely Sokolov
published 3.5
3.31
Connie J Chang
published 3.5
3.11
Stanford Quan
published
3.07
Julie Lowe
usually #3 Doubles 100% · published
3.00
Faser Carcallas
published
Scott Yee
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.

Connie J Chang + Caesar Ladion314 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.

4.5
Caesar Ladion
4W–1L career · no lines in 2024
2%91%7%
4.29
Peter Lowe
21W–12L career · no lines in 2024
<1%64%36%
3.95
Gabriel Chan
42W–10L career · no lines in 2024
<1%<1%>99%
3.89
Marty Gee
15W–10L career · no lines in 2024
<1%82%17%
3.87
Kevin Wong-Zelaya
14W–6L career · no lines in 2024
2%91%7%
3.80
Jennifer Do
27W–17L career · no lines in 2024
4%93%3%
3.74
3.5
Brian Le
41W–17L career · 3 lines in 2024
<1%38%62%
3.54
Xin Yang
17W–9L career · no lines in 2024
1%85%14%
3.35
3.5
Adrianna Lugo
14W–14L career · no lines in 2024
1%85%14%
3.35
3.5
Ashely Sokolov
16W–6L career · no lines in 2024
1%87%13%
3.34
3.5
Connie J Chang
20W–12L career · no lines in 2024
1%90%9%
3.31
Stanford Quan
6W–14L career · no lines in 2024
>99%<1%<1%
3.11
Julie Lowe
118W–102L career · 2 lines in 2024
<1%30%70%
3.07
Gnaumie-Monique Valle
11W–11L career · no lines in 2024
<1%51%49%
3.00
Faser Carcallas
0W–1L career · no lines in 2024
not enough data
Scott Yee
5W–0L 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.