Teams

LANEY TA/ENCINAL HS 55MX7.0A

2025 MIXED 55&Over · 55&Over MX7.0

27 players · average NTRP 3.57 / 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 →

Flight standings for 55&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 3.24 estimated across 22 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.

Andreas Berner
published 4
3.72
David O'Neill
published 4
3.71
Manish Singh
published
3.70
Danielle Duperly
published 4
3.67
Liz Medalle
published
3.66
Paul Lizama
published
3.48
Margie Moran
published
3.47
Marie Huxley
published
3.36
Jeb Horton
published
3.16
Harvey Sue
published
3.16
Pearl Leung
usually #1 Doubles 100% · published
3.16
Daniel Bao
published 3.5
3.16
Tom Januario
published
3.13
Tomoko Kunita
published
3.11
JoAnn Pawid
usually #1 Doubles 100% · published
3.11
Caroline Hauck
published 3.5
3.11
Gary Fries
published
3.09
Allie Fralick
published 3
3.02
Mark Morissette
published
2.97
Laura Herbert
published
2.93
Linda Duchscherer
usually #3 Doubles 100% · published
2.81
Dana Takahashi
published 3
2.59
Leann Kanowsky
published
Duane Duchscherer
usually #1 Doubles 100% · published
Keith Ma
published
Robert Chuck
published
Tracy Jensen
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.

4
Andreas Berner
4W–4L career · no lines in 2025
not enough data
4
David O'Neill
2W–2L career · no lines in 2025
5%92%2%
3.72
Manish Singh
17W–15L career · no lines in 2025
7%91%2%
3.71
4
Danielle Duperly
39W–27L career · no lines in 2025
8%91%2%
3.70
Liz Medalle
13W–8L career · no lines in 2025
11%88%1%
3.67
Paul Lizama
3W–15L career · no lines in 2025
13%87%1%
3.66
Margie Moran
19W–13L career · no lines in 2025
<1%55%45%
3.48
Marie Huxley
15W–5L career · no lines in 2025
<1%58%42%
3.47
Jeb Horton
4W–14L career · no lines in 2025
84%16%<1%
3.36
Harvey Sue
10W–12L career · no lines in 2025
12%87%1%
3.16
Pearl Leung
38W–20L career · 3 lines in 2025
<1%13%87%
3.16
3.5
Daniel Bao
7W–13L career · no lines in 2025
13%86%1%
3.16
Tom Januario
11W–10L career · no lines in 2025
13%86%1%
3.16
Tomoko Kunita
12W–19L career · no lines in 2025
19%81%<1%
3.13
JoAnn Pawid
12W–5L career · 3 lines in 2025
<1%21%79%
3.11
3.5
Caroline Hauck
8W–15L career · no lines in 2025
22%78%<1%
3.11
Gary Fries
28W–11L career · no lines in 2025
<1%22%78%
3.11
3
Allie Fralick
4W–4L career · no lines in 2025
<1%26%74%
3.09
Mark Morissette
14W–19L career · no lines in 2025
<1%43%57%
3.02
Laura Herbert
14W–16L career · no lines in 2025
<1%59%41%
2.97
Linda Duchscherer
24W–17L career · 1 line in 2025
<1%70%30%
2.93
3
Dana Takahashi
11W–8L career · no lines in 2025
1%90%9%
2.81
Leann Kanowsky
16W–31L career · no lines in 2025
0%26%74%
2.59
Duane Duchscherer
31W–10L career · 2 lines in 2025
not enough data
Keith Ma
10W–8L career · no lines in 2025
not enough data
Robert Chuck
3W–10L career · no lines in 2025
not enough data
Tracy Jensen
3W–2L career · no lines in 2025
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.