Teams

LANEY TA/ALAMEDA HS 40AW4.0A

2023 ADULT 40&Over · Women's 4.0

13 players · average NTRP 3.75 / 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 Women's 4.0 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 3.49 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.

3.92
Tracy Leeds
usually #1 Doubles 90%, also #2 Doubles 10% · published
3.84
Nancy Doan
published
3.73
Bowyee Gong
published 4
3.71
Stephanie Wong
published
3.59
Kristen Schaffel
published
3.57
Nancy Jing
published
3.48
Margie Moran
published
3.48
Tanya Lo
published
3.41
Elisabeth Childers
published
3.34
Jenny Lim
published
3.16
Pearl Leung
published
3.11
Caroline Hauck
published 3.5
2.96
Sandy Macasieb
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.

Kristen Schaffel + Tanya Lo1440% gamesnot enough data
Jenny Lim + Caroline Hauck134 matchesnot enough data
Kristen Schaffel + Nancy Doan303 matchesnot enough data
Margie Moran + Caroline Hauck213 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.

Tracy Leeds
96W–40L career · 10 lines in 2023
<1%72%27%
3.92
Nancy Doan
19W–16L career · no lines in 2023
1%86%13%
3.84
4
Bowyee Gong
41W–25L career · no lines in 2023
5%92%3%
3.73
Stephanie Wong
7W–7L career · no lines in 2023
6%92%2%
3.71
Kristen Schaffel
17W–17L career · no lines in 2023
26%74%<1%
3.59
Nancy Jing
2W–10L career · no lines in 2023
30%70%<1%
3.57
Margie Moran
19W–13L career · no lines in 2023
<1%55%45%
3.48
Tanya Lo
9W–23L career · no lines in 2023
55%45%<1%
3.48
Elisabeth Childers
7W–3L career · no lines in 2023
<1%73%26%
3.41
Jenny Lim
9W–14L career · no lines in 2023
1%87%12%
3.34
Pearl Leung
38W–20L career · no lines in 2023
<1%13%87%
3.16
3.5
Caroline Hauck
8W–15L career · no lines in 2023
22%78%<1%
3.11
Sandy Macasieb
2W–3L career · no lines in 2023
62%38%<1%
2.96

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.